From e0a4978df86dfa99aa254ab65058826bd988b083 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Tue, 10 May 2022 12:32:41 -0400 Subject: [PATCH 01/85] Added target_uid to TEMP file names --- R/hydroweight.R | 152 +++++++++++++++++++++++++----------------------- 1 file changed, 78 insertions(+), 74 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 0fc9936..8e7cfc5 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -84,13 +84,13 @@ hydroweight <- function(hydroweight_dir = NULL, if (!is.null(clip_region)) { if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { clip_region <- sf::st_buffer(target_O, clip_region) - sf::st_write(clip_region, file.path(hydroweight_dir, "TEMP-clip_region.shp"), + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), append = FALSE, quiet = TRUE ) } if (class(clip_region)[1] == "sf") { - sf::st_write(clip_region, file.path(hydroweight_dir, "TEMP-clip_region.shp"), + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), append = FALSE, quiet = TRUE ) } @@ -102,7 +102,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", clip_region)) { clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) - sf::st_write(clip_region, file.path(hydroweight_dir, "TEMP-clip_region.shp"), + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), append = FALSE, quiet = TRUE ) } @@ -116,13 +116,13 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_reclass( input = file.path(hydroweight_dir, clip_region), - output = file.path(hydroweight_dir, "TEMP-clip_region.tif"), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), reclass_vals = "1,min,max" ) whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, "TEMP-clip_region.tif"), - output = file.path(hydroweight_dir, "TEMP-clip_region.shp") + input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")) ) } } @@ -132,20 +132,20 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_reclass( input = file.path(hydroweight_dir, dem), - output = file.path(hydroweight_dir, "TEMP-clip_region.tif"), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), reclass_vals = "1,min,1000000", # because max sometimes misses max values? verbose_mode = FALSE ) whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, "TEMP-clip_region.tif"), - output = file.path(hydroweight_dir, "TEMP-clip_region.shp"), + input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), verbose_mode = FALSE ) - clip_region <- sf::st_read(file.path(hydroweight_dir, "TEMP-clip_region.shp"), quiet = TRUE) + clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), quiet = TRUE) sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, file.path(hydroweight_dir, "TEMP-clip_region.shp"), append = FALSE, quiet = TRUE) + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) # clip_region <- raster::raster(file.path(hydroweight_dir, dem)) # clip_region[!is.na(clip_region)] <- 1 @@ -158,19 +158,19 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_clip_raster_to_polygon( input = file.path(hydroweight_dir, dem), - polygons = file.path(hydroweight_dir, "TEMP-clip_region.shp"), - output = file.path(hydroweight_dir, "TEMP-dem_clip.tif"), + polygons = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), verbose_mode = FALSE ) - dem_clip <- raster::raster(file.path(hydroweight_dir, "TEMP-dem_clip.tif")) + dem_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif"))) raster::crs(dem_clip) <- dem_crs ## Prepare target_O ---- ## If sf, write to .shp if (class(target_O)[1] == "sf") { - sf::st_write(target_O, file.path(hydroweight_dir, "TEMP-target_O.shp"), + sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O.shp")), append = FALSE, quiet = TRUE ) } @@ -184,7 +184,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", target_O)) { target_O <- sf::st_read(file.path(hydroweight_dir, target_O)) - sf::st_write(target_O, file.path(hydroweight_dir, "TEMP-target_O.shp"), + sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O.shp")), append = FALSE, quiet = TRUE ) } @@ -199,7 +199,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (any(sf::st_is(target_O, c("POLYGON", "MULTIPOLYGON")))) { target_O_r <- raster::rasterize(sf::as_Spatial(target_O), y = dem_clip, - filename = file.path(hydroweight_dir, "TEMP-target_O_clip.tif"), + filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), field = 1, overwrite = TRUE ) @@ -214,7 +214,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_O_r <- raster::rasterize(sf::as_Spatial(target_O_int), y = dem_clip, - filename = file.path(hydroweight_dir, "TEMP-target_O_clip.tif"), + filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), field = 1, overwrite = TRUE ) @@ -224,7 +224,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_O_r <- raster::rasterize(sf::st_coordinates(target_O), y = dem_clip, field = 1, - filename = file.path(hydroweight_dir, "TEMP-target_O_clip.tif"), + filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), overwrite = TRUE ) } @@ -234,7 +234,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_O)[1] == "RasterLayer") { target_O_r <- target_O target_O_r <- raster::projectRaster(target_O_r, dem_clip, method = "ngb") - raster::writeRaster(target_O_r, file.path(hydroweight_dir, "TEMP-target_O_clip.tif"), + raster::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), overwrite = TRUE ) } @@ -244,7 +244,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## If sf, write to .shp if (class(target_S)[1] == "sf") { - sf::st_write(target_S, file.path(hydroweight_dir, "TEMP-target_S.shp"), + sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S.shp")), append = FALSE, quiet = TRUE ) } @@ -258,7 +258,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", target_S)) { target_S <- sf::st_read(file.path(hydroweight_dir, target_S)) - sf::st_write(target_S, file.path(hydroweight_dir, "TEMP-target_S.shp"), + sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S.shp")), append = FALSE, quiet = TRUE ) } @@ -273,7 +273,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (any(sf::st_is(target_S, c("POLYGON", "MULTIPOLYGON")))) { target_S_r <- raster::rasterize(sf::as_Spatial(target_S), y = dem_clip, - filename = file.path(hydroweight_dir, "TEMP-target_S_clip.tif"), + filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), field = 1, overwrite = TRUE ) @@ -288,7 +288,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_S_r <- raster::rasterize(sf::as_Spatial(target_S_int), y = dem_clip, - filename = file.path(hydroweight_dir, "TEMP-target_S_clip.tif"), + filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), field = 1, overwrite = TRUE ) @@ -298,7 +298,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_S_r <- raster::rasterize(sf::st_coordinates(target_S), y = dem_clip, field = 1, - filename = file.path(hydroweight_dir, "TEMP-target_S_clip.tif"), + filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), overwrite = TRUE ) } @@ -308,7 +308,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_S)[1] == "RasterLayer") { target_S_r <- target_S target_S_r <- raster::projectRaster(target_S_r, dem_clip, method = "ngb") - raster::writeRaster(target_S_r, file.path(hydroweight_dir, "TEMP-target_S_clip.tif"), + raster::writeRaster(target_S_r, paste0(target_uid,file.path(hydroweight_dir, "TEMP-target_S_clip.tif")), overwrite = TRUE ) } @@ -335,7 +335,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(OS_combine_r) <- dem_crs raster::writeRaster(OS_combine_r, - file.path(hydroweight_dir, "TEMP-OS_combine.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-OS_combine.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -347,12 +347,12 @@ hydroweight <- function(hydroweight_dir = NULL, if ("lumped" %in% weighting_scheme) { whitebox::wbt_reclass( - input = file.path(hydroweight_dir, "TEMP-dem_clip.tif"), - output = file.path(hydroweight_dir, "TEMP-lumped.tif"), + input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-lumped.tif")), reclass_vals = "1,min,1000000" ) # because max sometimes misses max values? - lumped_inv <- raster::raster(file.path(hydroweight_dir, "TEMP-lumped.tif"), values = TRUE) + lumped_inv <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-lumped.tif")), values = TRUE) raster::crs(lumped_inv) <- dem_crs lumped_inv <- raster::setValues(raster::raster(lumped_inv), lumped_inv[]) } @@ -360,20 +360,20 @@ hydroweight <- function(hydroweight_dir = NULL, ## iEucO, Euclidean distance to target_O ---- if ("iEucO" %in% weighting_scheme) { whitebox::wbt_reclass( - input = file.path(hydroweight_dir, "TEMP-dem_clip.tif"), - output = file.path(hydroweight_dir, "TEMP_dem_clip_cost.tif"), + input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), reclass_vals = "1,min,1000000" ) # because max sometimes misses max values? whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, "TEMP-target_O_clip.tif"), - cost = file.path(hydroweight_dir, "TEMP_dem_clip_cost.tif"), - out_accum = file.path(hydroweight_dir, "TEMP-cost_distance.tif"), - out_backlink = file.path(hydroweight_dir, "TEMP-cost_backlink.tif"), + source = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), + cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), + out_accum = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif")), + out_backlink = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_backlink.tif")), verbose_mode = FALSE ) - iEucO <- raster::raster(file.path(hydroweight_dir, "TEMP-cost_distance.tif")) + iEucO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif"))) if(is.list(inv_function)){ @@ -396,7 +396,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iEucO_inv) <- dem_crs raster::writeRaster(iEucO_inv, - file.path(hydroweight_dir, "TEMP-iEucO.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-iEucO.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -406,14 +406,14 @@ hydroweight <- function(hydroweight_dir = NULL, if ("iEucS" %in% weighting_scheme) { if (OS_combine == FALSE) { whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, "TEMP-target_S_clip.tif"), - cost = file.path(hydroweight_dir, "TEMP_dem_clip_cost.tif"), - out_accum = file.path(hydroweight_dir, "TEMP-cost_distance.tif"), - out_backlink = file.path(hydroweight_dir, "TEMP-cost_backlink.tif"), + source = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), + cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), + out_accum = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif")), + out_backlink = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_backlink.tif")), verbose_mode = FALSE ) - iEucS <- raster::raster(file.path(hydroweight_dir, "TEMP-cost_distance.tif")) + iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif"))) if(is.list(inv_function)){ @@ -436,7 +436,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iEucS_inv) <- dem_crs raster::writeRaster(iEucS_inv, - file.path(hydroweight_dir, "TEMP-iEucS.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-iEucS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -444,14 +444,14 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, "TEMP-OS_combine.tif"), - cost = file.path(hydroweight_dir, "TEMP_dem_clip_cost.tif"), - out_accum = file.path(hydroweight_dir, "TEMP-cost_distance.tif"), - out_backlink = file.path(hydroweight_dir, "TEMP-cost_backlink.tif"), + source = file.path(hydroweight_dir, paste0(target_uid,"TEMP-OS_combine.tif")), + cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), + out_accum = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif")), + out_backlink = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_backlink.tif")), verbose_mode = FALSE ) - iEucS <- raster::raster(file.path(hydroweight_dir, "TEMP-cost_distance.tif")) + iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif"))) if(is.list(inv_function)){ @@ -474,7 +474,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iEucS_inv) <- dem_crs raster::writeRaster(iEucS_inv, - file.path(hydroweight_dir, "TEMP-iEucS.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-iEucS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -484,13 +484,13 @@ hydroweight <- function(hydroweight_dir = NULL, ## iFLO, flow line distance to target_O ---- if ("iFLO" %in% weighting_scheme | "HAiFLO" %in% weighting_scheme) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, "TEMP-dem_clip.tif"), - streams = file.path(hydroweight_dir, "TEMP-target_O_clip.tif"), - output = file.path(hydroweight_dir, "TEMP-flowdist-iFLO.tif"), + dem = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), + streams = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLO.tif")), verbose_mode = FALSE ) - iFLO <- raster::raster(file.path(hydroweight_dir, "TEMP-flowdist-iFLO.tif")) + iFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLO.tif"))) if(is.list(inv_function)){ @@ -513,7 +513,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iFLO_inv) <- dem_crs raster::writeRaster(iFLO_inv, - file.path(hydroweight_dir, "TEMP-iFLO.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-iFLO.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -523,13 +523,13 @@ hydroweight <- function(hydroweight_dir = NULL, if ("iFLS" %in% weighting_scheme | "HAiFLS" %in% weighting_scheme) { if (OS_combine == FALSE) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, "TEMP-dem_clip.tif"), - streams = file.path(hydroweight_dir, "TEMP-target_S_clip.tif"), - output = file.path(hydroweight_dir, "TEMP-flowdist-iFLS.tif"), + dem = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), + streams = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif")), verbose_mode = FALSE ) - iFLS <- raster::raster(file.path(hydroweight_dir, "TEMP-flowdist-iFLS.tif")) + iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -552,7 +552,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iFLS_inv) <- dem_crs raster::writeRaster(iFLS_inv, - file.path(hydroweight_dir, "TEMP-iFLS.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-iFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -560,13 +560,13 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, "TEMP-dem_clip.tif"), - streams = file.path(hydroweight_dir, "TEMP-OS_combine.tif"), - output = file.path(hydroweight_dir, "TEMP-flowdist-iFLS.tif"), + dem = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), + streams = file.path(hydroweight_dir, paste0(target_uid,"TEMP-OS_combine.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif")), verbose_mode = FALSE ) - iFLS <- raster::raster(file.path(hydroweight_dir, "TEMP-flowdist-iFLS.tif")) + iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -589,7 +589,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iFLS_inv) <- dem_crs raster::writeRaster(iFLS_inv, - file.path(hydroweight_dir, "TEMP-iFLS.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-iFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -605,18 +605,18 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_clip_raster_to_polygon( input = file.path(hydroweight_dir, flow_accum), - polygons = file.path(hydroweight_dir, "TEMP-clip_region.shp"), - output = file.path(hydroweight_dir, "TEMP-flow_accum_clip.tif"), + polygons = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), + output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flow_accum_clip.tif")), verbose_mode = FALSE ) - accum_clip <- raster::raster(file.path(hydroweight_dir, "TEMP-flow_accum_clip.tif")) + accum_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flow_accum_clip.tif"))) accum_clip <- accum_clip + 1 raster::crs(accum_clip) <- dem_crs if ("HAiFLO" %in% weighting_scheme) { - HAiFLO <- raster::raster(file.path(hydroweight_dir, "TEMP-flowdist-iFLO.tif")) + HAiFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLO.tif"))) if(is.list(inv_function)){ @@ -641,7 +641,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(HAiFLO_inv) <- dem_crs raster::writeRaster(HAiFLO_inv, - file.path(hydroweight_dir, "TEMP-HAiFLO.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-HAiFLO.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -650,7 +650,7 @@ hydroweight <- function(hydroweight_dir = NULL, if ("HAiFLS" %in% weighting_scheme) { if (OS_combine == TRUE) { - HAiFLS <- raster::raster(file.path(hydroweight_dir, "TEMP-flowdist-iFLS.tif")) + HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -675,14 +675,14 @@ hydroweight <- function(hydroweight_dir = NULL, HAiFLS_inv <- raster::mask(HAiFLS_inv, OS_combine_r, maskvalue = 1) raster::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, "TEMP-HAiFLS.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-HAiFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) } if (OS_combine == FALSE) { - HAiFLS <- raster::raster(file.path(hydroweight_dir, "TEMP-flowdist-iFLS.tif")) + HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -707,7 +707,7 @@ hydroweight <- function(hydroweight_dir = NULL, HAiFLS_inv <- raster::mask(HAiFLS_inv, target_S_r, maskvalue = 1) raster::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, "TEMP-HAiFLS.tif"), + file.path(hydroweight_dir, paste0(target_uid,"TEMP-HAiFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -733,6 +733,10 @@ hydroweight <- function(hydroweight_dir = NULL, temp_rasters <- list.files(path = hydroweight_dir, pattern = "hydroweight", full.names = TRUE) file.remove(temp_rasters) + + temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"TEMP-"), + full.names = TRUE) + file.remove(temp_rasters) return(dist_list) } From b83fc31d02e64752054449fe17b08ef39851a60d Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Tue, 10 May 2022 13:44:15 -0400 Subject: [PATCH 02/85] fixed a target_uid name --- R/hydroweight.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 8e7cfc5..7eeab8b 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -308,7 +308,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_S)[1] == "RasterLayer") { target_S_r <- target_S target_S_r <- raster::projectRaster(target_S_r, dem_clip, method = "ngb") - raster::writeRaster(target_S_r, paste0(target_uid,file.path(hydroweight_dir, "TEMP-target_S_clip.tif")), + raster::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), overwrite = TRUE ) } From 2505d04a48588260b43d20dabde7535c680f959c Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 12 May 2022 10:30:03 -0400 Subject: [PATCH 03/85] added target_uid to raster::raster temp files --- R/hydroweight.R | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 7eeab8b..096228c 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -59,11 +59,12 @@ hydroweight <- function(hydroweight_dir = NULL, (x * 0.001 + 1)^-1 }) { + if (is.null(target_uid)) stop("target_uid must be specified") ## SET UP ---- ## Set up raster temp file for out-of-memory raster files raster::rasterOptions(tmpdir = hydroweight_dir) - raster::rasterTmpFile(prefix = "hydroweight_") + raster::rasterTmpFile(prefix = paste0(target_uid,"hydroweight_")) ## Set whitebox verbose_mode to FALSE whitebox::wbt_options(verbose = FALSE) @@ -730,7 +731,7 @@ hydroweight <- function(hydroweight_dir = NULL, )) ## CLEAN UP ---- - temp_rasters <- list.files(path = hydroweight_dir, pattern = "hydroweight", + temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"hydroweight"), full.names = TRUE) file.remove(temp_rasters) From 1079a4fd907503d6869290f143106cf1e12c7c9d Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 12 May 2022 11:43:22 -0400 Subject: [PATCH 04/85] fixed issue when clip_region was .tif clip_region was not written as TEMP-clip_region.shp when supplied as character pointing to a .tif file --- R/hydroweight.R | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 096228c..76be911 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -109,11 +109,11 @@ hydroweight <- function(hydroweight_dir = NULL, } if (grepl(".tif", clip_region)) { - clip_region <- raster::raster(file.path(hydroweight_dir, clip_region)) + #clip_region <- raster::raster(file.path(hydroweight_dir, clip_region)) - if (is.na(raster::crs(clip_region)) | is.null(raster::crs(clip_region))) { - stop("clip_region crs() is NULL or NA. Apply projection before continuing") - } + #if (is.na(raster::crs(clip_region)) | is.null(raster::crs(clip_region))) { + # stop("clip_region crs() is NULL or NA. Apply projection before continuing") + #} whitebox::wbt_reclass( input = file.path(hydroweight_dir, clip_region), @@ -125,6 +125,10 @@ hydroweight <- function(hydroweight_dir = NULL, input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")) ) + + clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), quiet = TRUE) + sf::st_crs(clip_region) <- sf::st_crs(dem_crs) + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) } } } From 81a2d250cd9f04a1b37b8d94ffaa23024da9521f Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 12 May 2022 13:42:26 -0400 Subject: [PATCH 05/85] Added _ prefix to TEMP files, and minor edit to readme to load DEM data from whitebox --- R/hydroweight.R | 158 ++++++++++++++++++++++++------------------------ README.Rmd | 1 + 2 files changed, 80 insertions(+), 79 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 76be911..8f7df9d 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -14,7 +14,7 @@ #' #' Spatial layers should align (i.e., identical coordinate reference systems - CRS). #' Through processing, targets are converted to the resolution and CRS of the -#' digital elevation model/flow accumulation CRS. TEMP-* files are generated in +#' digital elevation model/flow accumulation CRS. _TEMP-* files are generated in #' \code{hydroweight_dir} depending on processing step and can be overwritten. #' #' For \code{weighting_scheme}: @@ -64,7 +64,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## Set up raster temp file for out-of-memory raster files raster::rasterOptions(tmpdir = hydroweight_dir) - raster::rasterTmpFile(prefix = paste0(target_uid,"hydroweight_")) + raster::rasterTmpFile(prefix = paste0(target_uid,"_hydroweight_")) ## Set whitebox verbose_mode to FALSE whitebox::wbt_options(verbose = FALSE) @@ -85,13 +85,13 @@ hydroweight <- function(hydroweight_dir = NULL, if (!is.null(clip_region)) { if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { clip_region <- sf::st_buffer(target_O, clip_region) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), append = FALSE, quiet = TRUE ) } if (class(clip_region)[1] == "sf") { - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), append = FALSE, quiet = TRUE ) } @@ -103,7 +103,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", clip_region)) { clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), append = FALSE, quiet = TRUE ) } @@ -117,18 +117,18 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_reclass( input = file.path(hydroweight_dir, clip_region), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), reclass_vals = "1,min,max" ) whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")) + input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")) ) - - clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), quiet = TRUE) + + clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), quiet = TRUE) sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) } } } @@ -137,45 +137,45 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_reclass( input = file.path(hydroweight_dir, dem), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), reclass_vals = "1,min,1000000", # because max sometimes misses max values? verbose_mode = FALSE ) whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), + input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), verbose_mode = FALSE ) - clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), quiet = TRUE) + clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), quiet = TRUE) sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) + sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) # clip_region <- raster::raster(file.path(hydroweight_dir, dem)) # clip_region[!is.na(clip_region)] <- 1 # clip_region <- raster::rasterToPolygons(clip_region, dissolve = TRUE) # clip_region <- sf::st_as_sf(clip_region) - # sf::st_write(clip_region, file.path(hydroweight_dir, "TEMP-clip_region.shp"), + # sf::st_write(clip_region, file.path(hydroweight_dir, "_TEMP-clip_region.shp"), # append = FALSE, quiet = TRUE # ) } whitebox::wbt_clip_raster_to_polygon( input = file.path(hydroweight_dir, dem), - polygons = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), + polygons = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), verbose_mode = FALSE ) - dem_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif"))) + dem_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif"))) raster::crs(dem_clip) <- dem_crs ## Prepare target_O ---- ## If sf, write to .shp if (class(target_O)[1] == "sf") { - sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O.shp")), + sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O.shp")), append = FALSE, quiet = TRUE ) } @@ -189,7 +189,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", target_O)) { target_O <- sf::st_read(file.path(hydroweight_dir, target_O)) - sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O.shp")), + sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O.shp")), append = FALSE, quiet = TRUE ) } @@ -204,7 +204,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (any(sf::st_is(target_O, c("POLYGON", "MULTIPOLYGON")))) { target_O_r <- raster::rasterize(sf::as_Spatial(target_O), y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), field = 1, overwrite = TRUE ) @@ -219,7 +219,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_O_r <- raster::rasterize(sf::as_Spatial(target_O_int), y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), field = 1, overwrite = TRUE ) @@ -229,7 +229,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_O_r <- raster::rasterize(sf::st_coordinates(target_O), y = dem_clip, field = 1, - filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE ) } @@ -239,7 +239,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_O)[1] == "RasterLayer") { target_O_r <- target_O target_O_r <- raster::projectRaster(target_O_r, dem_clip, method = "ngb") - raster::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), + raster::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE ) } @@ -249,7 +249,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## If sf, write to .shp if (class(target_S)[1] == "sf") { - sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S.shp")), + sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S.shp")), append = FALSE, quiet = TRUE ) } @@ -263,7 +263,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", target_S)) { target_S <- sf::st_read(file.path(hydroweight_dir, target_S)) - sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S.shp")), + sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S.shp")), append = FALSE, quiet = TRUE ) } @@ -278,7 +278,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (any(sf::st_is(target_S, c("POLYGON", "MULTIPOLYGON")))) { target_S_r <- raster::rasterize(sf::as_Spatial(target_S), y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), field = 1, overwrite = TRUE ) @@ -293,7 +293,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_S_r <- raster::rasterize(sf::as_Spatial(target_S_int), y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), field = 1, overwrite = TRUE ) @@ -303,7 +303,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_S_r <- raster::rasterize(sf::st_coordinates(target_S), y = dem_clip, field = 1, - filename = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE ) } @@ -313,7 +313,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_S)[1] == "RasterLayer") { target_S_r <- target_S target_S_r <- raster::projectRaster(target_S_r, dem_clip, method = "ngb") - raster::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), + raster::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE ) } @@ -340,7 +340,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(OS_combine_r) <- dem_crs raster::writeRaster(OS_combine_r, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-OS_combine.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -352,12 +352,12 @@ hydroweight <- function(hydroweight_dir = NULL, if ("lumped" %in% weighting_scheme) { whitebox::wbt_reclass( - input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-lumped.tif")), + input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), reclass_vals = "1,min,1000000" ) # because max sometimes misses max values? - lumped_inv <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-lumped.tif")), values = TRUE) + lumped_inv <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), values = TRUE) raster::crs(lumped_inv) <- dem_crs lumped_inv <- raster::setValues(raster::raster(lumped_inv), lumped_inv[]) } @@ -365,20 +365,20 @@ hydroweight <- function(hydroweight_dir = NULL, ## iEucO, Euclidean distance to target_O ---- if ("iEucO" %in% weighting_scheme) { whitebox::wbt_reclass( - input = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), + input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), output = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), reclass_vals = "1,min,1000000" ) # because max sometimes misses max values? whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), + source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), - out_accum = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif")), - out_backlink = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_backlink.tif")), + out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), + out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), verbose_mode = FALSE ) - iEucO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif"))) + iEucO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) if(is.list(inv_function)){ @@ -401,7 +401,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iEucO_inv) <- dem_crs raster::writeRaster(iEucO_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-iEucO.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucO.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -411,14 +411,14 @@ hydroweight <- function(hydroweight_dir = NULL, if ("iEucS" %in% weighting_scheme) { if (OS_combine == FALSE) { whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), + source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), - out_accum = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif")), - out_backlink = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_backlink.tif")), + out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), + out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), verbose_mode = FALSE ) - iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif"))) + iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) if(is.list(inv_function)){ @@ -441,7 +441,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iEucS_inv) <- dem_crs raster::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-iEucS.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -449,14 +449,14 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, paste0(target_uid,"TEMP-OS_combine.tif")), + source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), - out_accum = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif")), - out_backlink = file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_backlink.tif")), + out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), + out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), verbose_mode = FALSE ) - iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-cost_distance.tif"))) + iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) if(is.list(inv_function)){ @@ -479,7 +479,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iEucS_inv) <- dem_crs raster::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-iEucS.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -489,13 +489,13 @@ hydroweight <- function(hydroweight_dir = NULL, ## iFLO, flow line distance to target_O ---- if ("iFLO" %in% weighting_scheme | "HAiFLO" %in% weighting_scheme) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), - streams = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_O_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLO.tif")), + dem = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), + streams = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif")), verbose_mode = FALSE ) - iFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLO.tif"))) + iFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) if(is.list(inv_function)){ @@ -518,7 +518,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iFLO_inv) <- dem_crs raster::writeRaster(iFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-iFLO.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLO.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -528,13 +528,13 @@ hydroweight <- function(hydroweight_dir = NULL, if ("iFLS" %in% weighting_scheme | "HAiFLS" %in% weighting_scheme) { if (OS_combine == FALSE) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), - streams = file.path(hydroweight_dir, paste0(target_uid,"TEMP-target_S_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif")), + dem = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), + streams = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif")), verbose_mode = FALSE ) - iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) + iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -557,7 +557,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iFLS_inv) <- dem_crs raster::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-iFLS.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -565,13 +565,13 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, paste0(target_uid,"TEMP-dem_clip.tif")), - streams = file.path(hydroweight_dir, paste0(target_uid,"TEMP-OS_combine.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif")), + dem = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), + streams = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif")), verbose_mode = FALSE ) - iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) + iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -594,7 +594,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(iFLS_inv) <- dem_crs raster::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-iFLS.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -610,18 +610,18 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_clip_raster_to_polygon( input = file.path(hydroweight_dir, flow_accum), - polygons = file.path(hydroweight_dir, paste0(target_uid,"TEMP-clip_region.shp")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP-flow_accum_clip.tif")), + polygons = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")), verbose_mode = FALSE ) - accum_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flow_accum_clip.tif"))) + accum_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) accum_clip <- accum_clip + 1 raster::crs(accum_clip) <- dem_crs if ("HAiFLO" %in% weighting_scheme) { - HAiFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLO.tif"))) + HAiFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) if(is.list(inv_function)){ @@ -646,7 +646,7 @@ hydroweight <- function(hydroweight_dir = NULL, raster::crs(HAiFLO_inv) <- dem_crs raster::writeRaster(HAiFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-HAiFLO.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLO.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -655,7 +655,7 @@ hydroweight <- function(hydroweight_dir = NULL, if ("HAiFLS" %in% weighting_scheme) { if (OS_combine == TRUE) { - HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) + HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -680,14 +680,14 @@ hydroweight <- function(hydroweight_dir = NULL, HAiFLS_inv <- raster::mask(HAiFLS_inv, OS_combine_r, maskvalue = 1) raster::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-HAiFLS.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) } if (OS_combine == FALSE) { - HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"TEMP-flowdist-iFLS.tif"))) + HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ @@ -712,7 +712,7 @@ hydroweight <- function(hydroweight_dir = NULL, HAiFLS_inv <- raster::mask(HAiFLS_inv, target_S_r, maskvalue = 1) raster::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"TEMP-HAiFLS.tif")), + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), overwrite = TRUE, options = c("COMPRESS=NONE"), Naflag = -9999 ) @@ -735,11 +735,11 @@ hydroweight <- function(hydroweight_dir = NULL, )) ## CLEAN UP ---- - temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"hydroweight"), + temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_hydroweight_"), full.names = TRUE) file.remove(temp_rasters) - - temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"TEMP-"), + + temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_TEMP-"), full.names = TRUE) file.remove(temp_rasters) diff --git a/README.Rmd b/README.Rmd index 914f49e..67683d3 100644 --- a/README.Rmd +++ b/README.Rmd @@ -163,6 +163,7 @@ library(viridis) library(whitebox) ## Import toy_dem from whitebox package +toy_file<-sample_dem_data() toy_file <- system.file("extdata", "DEM.tif", package = "whitebox") toy_dem <- raster(x = toy_file, values = TRUE) crs(toy_dem) <- "+init=epsg:3161" From 26309161b1dccaadf746af0853b07ee2caa5fabe Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 08:38:52 -0400 Subject: [PATCH 06/85] Changed raster functions to terra. Added a restart patameter to hydroweight() --- DESCRIPTION | 1 + R/hydroweight.R | 376 +++++++++++++++++++++++++----------------------- 2 files changed, 194 insertions(+), 183 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index f97fac6..45d2d62 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -48,6 +48,7 @@ Imports: sf, stringr, tidyr, + terra, viridis, whitebox Suggests: diff --git a/R/hydroweight.R b/R/hydroweight.R index 8f7df9d..e563ff3 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -42,7 +42,8 @@ #' @param dem character (with extension, e.g., "dem.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Digital elevation model raster. #' @param flow_accum character (with extension, e.g., "flow_accum.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Flow accumulation raster (units: # of cells). #' @param weighting_scheme character. One or more weighting schemes: c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS") -#' @param inv_function function or named list of functions based on \code{weighting_scheme} names. Inverse function used in \code{raster::calc()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km. +#' @param restart logical. Should the function attempt to restart using intermediate files in working directory? +#' @param inv_function function or named list of functions based on \code{weighting_scheme} names. Inverse function used in \code{terra::app()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km. #' @return Named list of distance-weighted rasters and accompanying \code{*.rds} in \code{hydroweight_dir} #' @export #' @@ -55,6 +56,7 @@ hydroweight <- function(hydroweight_dir = NULL, dem = NULL, flow_accum = NULL, weighting_scheme = NULL, + restart=F, inv_function = function(x) { (x * 0.001 + 1)^-1 }) { @@ -63,8 +65,8 @@ hydroweight <- function(hydroweight_dir = NULL, ## SET UP ---- ## Set up raster temp file for out-of-memory raster files - raster::rasterOptions(tmpdir = hydroweight_dir) - raster::rasterTmpFile(prefix = paste0(target_uid,"_hydroweight_")) + terra::rastOptions(tmpdir = hydroweight_dir) + terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) ## Set whitebox verbose_mode to FALSE whitebox::wbt_options(verbose = FALSE) @@ -73,64 +75,68 @@ hydroweight <- function(hydroweight_dir = NULL, message("Preparing hydroweight layers @ ", Sys.time()) - (dem_r <- raster::raster(file.path(hydroweight_dir, dem))) + (dem_r <- terra::rast(file.path(hydroweight_dir, dem))) - if (is.na(raster::crs(dem_r)) | is.null(raster::crs(dem_r))) { + if (is.na(terra::crs(dem_r)) | is.null(terra::crs(dem_r))) { stop("dem crs() is NULL or NA. Apply projection before continuing") } - (dem_crs <- raster::crs(dem_r)) + (dem_crs <- terra::crs(dem_r)) ## Prepare clip_region ---- + clip_region_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")) if (!is.null(clip_region)) { - if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { - clip_region <- sf::st_buffer(target_O, clip_region) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), - append = FALSE, quiet = TRUE - ) - } - - if (class(clip_region)[1] == "sf") { - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), - append = FALSE, quiet = TRUE - ) - } - - if (class(clip_region)[1] == "character") { - if (!grepl(".shp", clip_region) & !grepl(".tif", clip_region)) { - stop("If clip_region is character, target_O should be a .shp or .tif") + if (!restart | !file.exists(clip_region_path)) { + if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { + clip_region <- sf::st_buffer(target_O, clip_region) + sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE + ) } - if (grepl(".shp", clip_region)) { - clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), - append = FALSE, quiet = TRUE + if (class(clip_region)[1] == "sf") { + sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE ) } - if (grepl(".tif", clip_region)) { - #clip_region <- raster::raster(file.path(hydroweight_dir, clip_region)) + if (class(clip_region)[1] == "character") { + if (!grepl(".shp", clip_region) & !grepl(".tif", clip_region)) { + stop("If clip_region is character, target_O should be a .shp or .tif") + } - #if (is.na(raster::crs(clip_region)) | is.null(raster::crs(clip_region))) { - # stop("clip_region crs() is NULL or NA. Apply projection before continuing") - #} + if (grepl(".shp", clip_region)) { + clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) + sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE + ) + } - whitebox::wbt_reclass( - input = file.path(hydroweight_dir, clip_region), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - reclass_vals = "1,min,max" - ) + if (grepl(".tif", clip_region)) { + #clip_region <- terra::rast(file.path(hydroweight_dir, clip_region)) - whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")) - ) + #if (is.na(terra::crs(clip_region)) | is.null(terra::crs(clip_region))) { + # stop("clip_region crs() is NULL or NA. Apply projection before continuing") + #} - clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), quiet = TRUE) - sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) + whitebox::wbt_reclass( + input = file.path(hydroweight_dir, clip_region), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), + reclass_vals = "1,min,max" + ) + + whitebox::wbt_raster_to_vector_polygons( + input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), + output = clip_region_path + ) + + clip_region <- sf::st_read(clip_region_path, quiet = TRUE) + sf::st_crs(clip_region) <- sf::st_crs(dem_crs) + sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE) + } } + } else { + clip_region<-sf::st_read(clip_region_path, quiet = TRUE) + sf::st_crs(clip_region) <- sf::st_crs(dem_crs) } + } if (is.null(clip_region)) { @@ -144,39 +150,43 @@ hydroweight <- function(hydroweight_dir = NULL, whitebox::wbt_raster_to_vector_polygons( input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), + output = clip_region_path, verbose_mode = FALSE ) - clip_region <- sf::st_read(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), quiet = TRUE) + clip_region <- sf::st_read(clip_region_path, quiet = TRUE) sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), append = FALSE, quiet = TRUE) + sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE) - # clip_region <- raster::raster(file.path(hydroweight_dir, dem)) + # clip_region <- terra::rast(file.path(hydroweight_dir, dem)) # clip_region[!is.na(clip_region)] <- 1 - # clip_region <- raster::rasterToPolygons(clip_region, dissolve = TRUE) + # clip_region <- terra::rastToPolygons(clip_region, dissolve = TRUE) # clip_region <- sf::st_as_sf(clip_region) # sf::st_write(clip_region, file.path(hydroweight_dir, "_TEMP-clip_region.shp"), # append = FALSE, quiet = TRUE # ) } - whitebox::wbt_clip_raster_to_polygon( - input = file.path(hydroweight_dir, dem), - polygons = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - verbose_mode = FALSE - ) + dem_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")) + + if (!restart | !file.exists(dem_clip_path)) { + whitebox::wbt_clip_raster_to_polygon( + input = file.path(hydroweight_dir, dem), + polygons = clip_region_path, + output = dem_clip_path, + verbose_mode = FALSE + ) + } - dem_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif"))) - raster::crs(dem_clip) <- dem_crs + dem_clip <- terra::rast(dem_clip_path) + terra::crs(dem_clip) <- dem_crs ## Prepare target_O ---- ## If sf, write to .shp if (class(target_O)[1] == "sf") { sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O.shp")), - append = FALSE, quiet = TRUE + append = FALSE, quiet = TRUE ) } @@ -190,47 +200,47 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", target_O)) { target_O <- sf::st_read(file.path(hydroweight_dir, target_O)) sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O.shp")), - append = FALSE, quiet = TRUE + append = FALSE, quiet = TRUE ) } if (grepl(".tif", target_O)) { - target_O <- raster::raster(file.path(hydroweight_dir, target_O)) + target_O <- terra::rast(file.path(hydroweight_dir, target_O)) } } ## write target_O and adjust to clip_region if sf if (class(target_O)[1] == "sf") { if (any(sf::st_is(target_O, c("POLYGON", "MULTIPOLYGON")))) { - target_O_r <- raster::rasterize(sf::as_Spatial(target_O), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - field = 1, - overwrite = TRUE + target_O_r <- terra::rasterize(sf::as_Spatial(target_O), + y = dem_clip, + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), + field = 1, + overwrite = TRUE ) } if (any(sf::st_is(target_O, c("LINESTRING", "MULTILINESTRING")))) { - dem_clip_extent <- sf::st_as_sfc(sf::st_bbox(raster::extent(dem_clip))) + dem_clip_extent <- sf::st_as_sfc(sf::st_bbox(terra::ext(dem_clip))) sf::st_crs(dem_clip_extent) <- sf::st_crs(dem_clip) target_O_int <- sf::st_intersects(target_O, dem_clip_extent) target_O_int <- target_O[lengths(target_O_int) > 0, ] - target_O_r <- raster::rasterize(sf::as_Spatial(target_O_int), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - field = 1, - overwrite = TRUE + target_O_r <- terra::rasterize(sf::as_Spatial(target_O_int), + y = dem_clip, + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), + field = 1, + overwrite = TRUE ) } if (sf::st_is(target_O, "POINT")) { - target_O_r <- raster::rasterize(sf::st_coordinates(target_O), - y = dem_clip, - field = 1, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - overwrite = TRUE + target_O_r <- terra::rasterize(sf::st_coordinates(target_O), + y = dem_clip, + field = 1, + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), + overwrite = TRUE ) } } @@ -238,9 +248,9 @@ hydroweight <- function(hydroweight_dir = NULL, ## write target_O and adjust to clip_region if RasterLayer if (class(target_O)[1] == "RasterLayer") { target_O_r <- target_O - target_O_r <- raster::projectRaster(target_O_r, dem_clip, method = "ngb") - raster::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - overwrite = TRUE + target_O_r <- terra::project(target_O_r, dem_clip, method = "near") + terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), + overwrite = TRUE ) } @@ -250,7 +260,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_S)[1] == "sf") { sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S.shp")), - append = FALSE, quiet = TRUE + append = FALSE, quiet = TRUE ) } @@ -264,47 +274,47 @@ hydroweight <- function(hydroweight_dir = NULL, if (grepl(".shp", target_S)) { target_S <- sf::st_read(file.path(hydroweight_dir, target_S)) sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S.shp")), - append = FALSE, quiet = TRUE + append = FALSE, quiet = TRUE ) } if (grepl(".tif", target_S)) { - target_S <- raster::raster(file.path(hydroweight_dir, target_S)) + target_S <- terra::rast(file.path(hydroweight_dir, target_S)) } } ## write target_S and adjust to clip_region if sf if (class(target_S)[1] == "sf") { if (any(sf::st_is(target_S, c("POLYGON", "MULTIPOLYGON")))) { - target_S_r <- raster::rasterize(sf::as_Spatial(target_S), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - field = 1, - overwrite = TRUE + target_S_r <- terra::rasterize(sf::as_Spatial(target_S), + y = dem_clip, + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), + field = 1, + overwrite = TRUE ) } if (any(sf::st_is(target_S, c("LINESTRING", "MULTILINESTRING")))) { - dem_clip_extent <- sf::st_as_sfc(sf::st_bbox(raster::extent(dem_clip))) + dem_clip_extent <- sf::st_as_sfc(sf::st_bbox(terra::ext(dem_clip))) sf::st_crs(dem_clip_extent) <- sf::st_crs(dem_crs) target_S_int <- sf::st_intersects(target_S, dem_clip_extent) target_S_int <- target_S[lengths(target_S_int) > 0, ] - target_S_r <- raster::rasterize(sf::as_Spatial(target_S_int), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - field = 1, - overwrite = TRUE + target_S_r <- terra::rasterize(sf::as_Spatial(target_S_int), + y = dem_clip, + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), + field = 1, + overwrite = TRUE ) } if (sf::st_is(target_S, "POINT")) { - target_S_r <- raster::rasterize(sf::st_coordinates(target_S), - y = dem_clip, - field = 1, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - overwrite = TRUE + target_S_r <- terra::rasterize(sf::st_coordinates(target_S), + y = dem_clip, + field = 1, + filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), + overwrite = TRUE ) } } @@ -312,9 +322,9 @@ hydroweight <- function(hydroweight_dir = NULL, ## write target_S and adjust to clip_region if RasterLayer if (class(target_S)[1] == "RasterLayer") { target_S_r <- target_S - target_S_r <- raster::projectRaster(target_S_r, dem_clip, method = "ngb") - raster::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - overwrite = TRUE + target_S_r <- terra::project(target_S_r, dem_clip, method = "near") + terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), + overwrite = TRUE ) } @@ -334,15 +344,15 @@ hydroweight <- function(hydroweight_dir = NULL, mosaic_list$fun <- sum mosaic_list$na.rm <- TRUE - OS_combine_r <- do.call(raster::mosaic, mosaic_list) + OS_combine_r <- do.call(terra::mosaic, mosaic_list) OS_combine_r[OS_combine_r > 0] <- 1 OS_combine_r[OS_combine_r == 0] <- NA - raster::crs(OS_combine_r) <- dem_crs - raster::writeRaster(OS_combine_r, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(OS_combine_r) <- dem_crs + terra::writeRaster(OS_combine_r, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } @@ -357,9 +367,9 @@ hydroweight <- function(hydroweight_dir = NULL, reclass_vals = "1,min,1000000" ) # because max sometimes misses max values? - lumped_inv <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), values = TRUE) - raster::crs(lumped_inv) <- dem_crs - lumped_inv <- raster::setValues(raster::raster(lumped_inv), lumped_inv[]) + lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), values = TRUE) + terra::crs(lumped_inv) <- dem_crs + lumped_inv <- terra::setValues(terra::rast(lumped_inv), lumped_inv[]) } ## iEucO, Euclidean distance to target_O ---- @@ -378,13 +388,13 @@ hydroweight <- function(hydroweight_dir = NULL, verbose_mode = FALSE ) - iEucO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + iEucO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) if(is.list(inv_function)){ if("iEucO" %in% names(inv_function)){ - iEucO_inv <- raster::calc(iEucO, fun = inv_function$iEucO) + iEucO_inv <- terra::app(iEucO, fun = inv_function$iEucO) } else { @@ -395,15 +405,15 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - iEucO_inv <- raster::calc(iEucO, fun = inv_function) + iEucO_inv <- terra::app(iEucO, fun = inv_function) } - raster::crs(iEucO_inv) <- dem_crs - raster::writeRaster(iEucO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(iEucO_inv) <- dem_crs + terra::writeRaster(iEucO_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucO.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } @@ -418,13 +428,13 @@ hydroweight <- function(hydroweight_dir = NULL, verbose_mode = FALSE ) - iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + iEucS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) if(is.list(inv_function)){ if("iEucS" %in% names(inv_function)){ - iEucS_inv <- raster::calc(iEucS, fun = inv_function$iEucS) + iEucS_inv <- terra::app(iEucS, fun = inv_function$iEucS) } else { @@ -435,15 +445,15 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - iEucS_inv <- raster::calc(iEucS, fun = inv_function) + iEucS_inv <- terra::app(iEucS, fun = inv_function) } - raster::crs(iEucS_inv) <- dem_crs - raster::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(iEucS_inv) <- dem_crs + terra::writeRaster(iEucS_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } @@ -456,13 +466,13 @@ hydroweight <- function(hydroweight_dir = NULL, verbose_mode = FALSE ) - iEucS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + iEucS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) if(is.list(inv_function)){ if("iEucS" %in% names(inv_function)){ - iEucS_inv <- raster::calc(iEucS, fun = inv_function$iEucS) + iEucS_inv <- terra::app(iEucS, fun = inv_function$iEucS) } else { @@ -473,15 +483,15 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - iEucS_inv <- raster::calc(iEucS, fun = inv_function) + iEucS_inv <- terra::app(iEucS, fun = inv_function) } - raster::crs(iEucS_inv) <- dem_crs - raster::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(iEucS_inv) <- dem_crs + terra::writeRaster(iEucS_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } } @@ -495,13 +505,13 @@ hydroweight <- function(hydroweight_dir = NULL, verbose_mode = FALSE ) - iFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + iFLO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) if(is.list(inv_function)){ if("iFLO" %in% names(inv_function)){ - iFLO_inv <- raster::calc(iFLO, fun = inv_function$iFLO) + iFLO_inv <- terra::app(iFLO, fun = inv_function$iFLO) } else { @@ -512,15 +522,15 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - iFLO_inv <- raster::calc(iFLO, fun = inv_function) + iFLO_inv <- terra::app(iFLO, fun = inv_function) } - raster::crs(iFLO_inv) <- dem_crs - raster::writeRaster(iFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(iFLO_inv) <- dem_crs + terra::writeRaster(iFLO_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLO.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } @@ -534,13 +544,13 @@ hydroweight <- function(hydroweight_dir = NULL, verbose_mode = FALSE ) - iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + iFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ if("iFLS" %in% names(inv_function)){ - iFLS_inv <- raster::calc(iFLS, fun = inv_function$iFLS) + iFLS_inv <- terra::app(iFLS, fun = inv_function$iFLS) } else { @@ -551,15 +561,15 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - iFLS_inv <- raster::calc(iFLS, fun = inv_function) + iFLS_inv <- terra::app(iFLS, fun = inv_function) } - raster::crs(iFLS_inv) <- dem_crs - raster::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(iFLS_inv) <- dem_crs + terra::writeRaster(iFLS_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } @@ -571,13 +581,13 @@ hydroweight <- function(hydroweight_dir = NULL, verbose_mode = FALSE ) - iFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + iFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ if("iFLS" %in% names(inv_function)){ - iFLS_inv <- raster::calc(iFLS, fun = inv_function$iFLS) + iFLS_inv <- terra::app(iFLS, fun = inv_function$iFLS) } else { @@ -588,15 +598,15 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - iFLS_inv <- raster::calc(iFLS, fun = inv_function) + iFLS_inv <- terra::app(iFLS, fun = inv_function) } - raster::crs(iFLS_inv) <- dem_crs - raster::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(iFLS_inv) <- dem_crs + terra::writeRaster(iFLS_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } } @@ -615,19 +625,19 @@ hydroweight <- function(hydroweight_dir = NULL, verbose_mode = FALSE ) - accum_clip <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) + accum_clip <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) accum_clip <- accum_clip + 1 - raster::crs(accum_clip) <- dem_crs + terra::crs(accum_clip) <- dem_crs if ("HAiFLO" %in% weighting_scheme) { - HAiFLO <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + HAiFLO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) if(is.list(inv_function)){ if("HAiFLO" %in% names(inv_function)){ - iFLO_inv <- raster::calc(HAiFLO, fun = inv_function$HAiFLO) + iFLO_inv <- terra::app(HAiFLO, fun = inv_function$HAiFLO) } else { @@ -638,30 +648,30 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - HAiFLO_inv <- raster::calc(HAiFLO, fun = inv_function) + HAiFLO_inv <- terra::app(HAiFLO, fun = inv_function) } HAiFLO_inv <- HAiFLO_inv * accum_clip - raster::crs(HAiFLO_inv) <- dem_crs - raster::writeRaster(HAiFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::crs(HAiFLO_inv) <- dem_crs + terra::writeRaster(HAiFLO_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLO.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } if ("HAiFLS" %in% weighting_scheme) { if (OS_combine == TRUE) { - HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + HAiFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ if("HAiFLS" %in% names(inv_function)){ - iFLS_inv <- raster::calc(HAiFLS, fun = inv_function$HAiFLS) + iFLS_inv <- terra::app(HAiFLS, fun = inv_function$HAiFLS) } else { @@ -672,28 +682,28 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - HAiFLS_inv <- raster::calc(HAiFLS, fun = inv_function) + HAiFLS_inv <- terra::app(HAiFLS, fun = inv_function) } HAiFLS_inv <- HAiFLS_inv * accum_clip - HAiFLS_inv <- raster::mask(HAiFLS_inv, OS_combine_r, maskvalue = 1) + HAiFLS_inv <- terra::mask(HAiFLS_inv, OS_combine_r, maskvalues = 1) - raster::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::writeRaster(HAiFLS_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } if (OS_combine == FALSE) { - HAiFLS <- raster::raster(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + HAiFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) if(is.list(inv_function)){ if("HAiFLS" %in% names(inv_function)){ - iFLS_inv <- raster::calc(HAiFLS, fun = inv_function$HAiFLS) + iFLS_inv <- terra::app(HAiFLS, fun = inv_function$HAiFLS) } else { @@ -704,17 +714,17 @@ hydroweight <- function(hydroweight_dir = NULL, } else { - HAiFLS_inv <- raster::calc(HAiFLS, fun = inv_function) + HAiFLS_inv <- terra::app(HAiFLS, fun = inv_function) } HAiFLS_inv <- HAiFLS_inv * accum_clip - HAiFLS_inv <- raster::mask(HAiFLS_inv, target_S_r, maskvalue = 1) + HAiFLS_inv <- terra::mask(HAiFLS_inv, target_S_r, maskvalues = 1) - raster::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + terra::writeRaster(HAiFLS_inv, + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + Naflag = -9999 ) } } From 26ee2822e626c5074b0822cc226ab5c37ca6c1d0 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 09:00:10 -0400 Subject: [PATCH 07/85] Update hydroweight.R replaced wbt_clip_raster_to_polygon() with terra::crop() because I believe its faster for large polygons --- R/hydroweight.R | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index e563ff3..8166153 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -170,12 +170,18 @@ hydroweight <- function(hydroweight_dir = NULL, dem_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")) if (!restart | !file.exists(dem_clip_path)) { - whitebox::wbt_clip_raster_to_polygon( - input = file.path(hydroweight_dir, dem), - polygons = clip_region_path, - output = dem_clip_path, - verbose_mode = FALSE + dem_clip<-terra::crop( + x=terra::rast(file.path(hydroweight_dir, dem)), + y=terra::vect(dem_clip_path) ) + terra::crs(dem_clip)<-dem_crs + terra::writeRaster(dem_clip,dem_clip_path) + # whitebox::wbt_clip_raster_to_polygon( #PS I think is is very slow for large rasters + # input = file.path(hydroweight_dir, dem), + # polygons = clip_region_path, + # output = dem_clip_path, + # verbose_mode = FALSE + # ) } dem_clip <- terra::rast(dem_clip_path) From 80334250670bcf2038c4b6f29bf30954a79c9b41 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 09:09:26 -0400 Subject: [PATCH 08/85] Update hydroweight.R Removed raster::rastTmpFile() because there is no terra equivalent --- R/hydroweight.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 8166153..9554a24 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -65,8 +65,8 @@ hydroweight <- function(hydroweight_dir = NULL, ## SET UP ---- ## Set up raster temp file for out-of-memory raster files - terra::rastOptions(tmpdir = hydroweight_dir) - terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) + terra::terraOptions(tmpdir = hydroweight_dir) + #terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) ## Set whitebox verbose_mode to FALSE whitebox::wbt_options(verbose = FALSE) From ccdf6b9aee1859c073ddf693340cafc651a10dd4 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 09:30:23 -0400 Subject: [PATCH 09/85] Update hydroweight.R modifications to terra function --- R/hydroweight.R | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 9554a24..1095997 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -60,6 +60,8 @@ hydroweight <- function(hydroweight_dir = NULL, inv_function = function(x) { (x * 0.001 + 1)^-1 }) { + # TODO: Add checks to make sure all raster inputs are SpatRaster NOT RasterLayer + # TODO: class(___)[1] should be changed to inherits() if (is.null(target_uid)) stop("target_uid must be specified") ## SET UP ---- @@ -244,7 +246,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (sf::st_is(target_O, "POINT")) { target_O_r <- terra::rasterize(sf::st_coordinates(target_O), y = dem_clip, - field = 1, + # field = 1, # this isn't needed in terra filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE ) @@ -252,8 +254,8 @@ hydroweight <- function(hydroweight_dir = NULL, } ## write target_O and adjust to clip_region if RasterLayer - if (class(target_O)[1] == "RasterLayer") { - target_O_r <- target_O + if (class(target_O)[1] %in% c("SpatRaster","RasterLayer")) { + target_O_r <- terra::rast(target_O) target_O_r <- terra::project(target_O_r, dem_clip, method = "near") terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE @@ -326,8 +328,8 @@ hydroweight <- function(hydroweight_dir = NULL, } ## write target_S and adjust to clip_region if RasterLayer - if (class(target_S)[1] == "RasterLayer") { - target_S_r <- target_S + if (class(target_S)[1] %in% c("SpatRaster","RasterLayer")) { + target_S_r <- terra::rast(target_S) target_S_r <- terra::project(target_S_r, dem_clip, method = "near") terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE From 3acf32cb1dc240735935ee20fb96adcbedff8603 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 09:48:15 -0400 Subject: [PATCH 10/85] Update hydroweight.R set crs in a few more places --- R/hydroweight.R | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 1095997..a1c53fe 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -375,7 +375,7 @@ hydroweight <- function(hydroweight_dir = NULL, reclass_vals = "1,min,1000000" ) # because max sometimes misses max values? - lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), values = TRUE) + lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif"))) terra::crs(lumped_inv) <- dem_crs lumped_inv <- terra::setValues(terra::rast(lumped_inv), lumped_inv[]) } @@ -397,6 +397,7 @@ hydroweight <- function(hydroweight_dir = NULL, ) iEucO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + terra::crs(iEucO) <- dem_crs if(is.list(inv_function)){ @@ -437,6 +438,7 @@ hydroweight <- function(hydroweight_dir = NULL, ) iEucS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + terra::crs(iEucS) <- dem_crs if(is.list(inv_function)){ @@ -475,6 +477,7 @@ hydroweight <- function(hydroweight_dir = NULL, ) iEucS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + terra::crs(iEucS) <- dem_crs if(is.list(inv_function)){ @@ -514,6 +517,7 @@ hydroweight <- function(hydroweight_dir = NULL, ) iFLO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + terra::crs(iFLO) <- dem_crs if(is.list(inv_function)){ @@ -553,6 +557,7 @@ hydroweight <- function(hydroweight_dir = NULL, ) iFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + terra::crs(iFLS) <- dem_crs if(is.list(inv_function)){ @@ -590,6 +595,7 @@ hydroweight <- function(hydroweight_dir = NULL, ) iFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + terra::crs(iFLS) <- dem_crs if(is.list(inv_function)){ @@ -640,6 +646,7 @@ hydroweight <- function(hydroweight_dir = NULL, if ("HAiFLO" %in% weighting_scheme) { HAiFLO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + terra::crs(HAiFLO) <- dem_crs if(is.list(inv_function)){ @@ -674,6 +681,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { HAiFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + terra::crs(HAiFLS) <- dem_crs if(is.list(inv_function)){ @@ -706,6 +714,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == FALSE) { HAiFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + terra::crs(HAiFLS) <- dem_crs if(is.list(inv_function)){ From 813373515483b75d3a8a7930118354d5ccf26afb Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 09:50:46 -0400 Subject: [PATCH 11/85] Update hydroweight.R replaced Naflag with NAflag for terra::writeRaster --- R/hydroweight.R | 64 ++++++++++++++++++++++++------------------------- 1 file changed, 32 insertions(+), 32 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index a1c53fe..8550823 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -258,7 +258,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_O_r <- terra::rast(target_O) target_O_r <- terra::project(target_O_r, dem_clip, method = "near") terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - overwrite = TRUE + overwrite = TRUE ) } @@ -332,7 +332,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_S_r <- terra::rast(target_S) target_S_r <- terra::project(target_S_r, dem_clip, method = "near") terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - overwrite = TRUE + overwrite = TRUE ) } @@ -358,9 +358,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(OS_combine_r) <- dem_crs terra::writeRaster(OS_combine_r, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } @@ -420,9 +420,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucO_inv) <- dem_crs terra::writeRaster(iEucO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucO.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } @@ -461,9 +461,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucS_inv) <- dem_crs terra::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } @@ -500,9 +500,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucS_inv) <- dem_crs terra::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } } @@ -540,9 +540,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLO_inv) <- dem_crs terra::writeRaster(iFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLO.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } @@ -580,9 +580,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLS_inv) <- dem_crs terra::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } @@ -618,9 +618,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLS_inv) <- dem_crs terra::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } } @@ -671,9 +671,9 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(HAiFLO_inv) <- dem_crs terra::writeRaster(HAiFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLO.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } @@ -706,9 +706,9 @@ hydroweight <- function(hydroweight_dir = NULL, HAiFLS_inv <- terra::mask(HAiFLS_inv, OS_combine_r, maskvalues = 1) terra::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } @@ -739,9 +739,9 @@ hydroweight <- function(hydroweight_dir = NULL, HAiFLS_inv <- terra::mask(HAiFLS_inv, target_S_r, maskvalues = 1) terra::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), - Naflag = -9999 + file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), + overwrite = TRUE, options = c("COMPRESS=NONE"), + NAflag = -9999 ) } } From 71ed42755572d0c30d78920160e39d38efa2b5cd Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 09:58:08 -0400 Subject: [PATCH 12/85] Update hydroweight.R made terra temporary files save to unique folder to allow parallel processing --- R/hydroweight.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 8550823..8dec049 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -67,7 +67,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## SET UP ---- ## Set up raster temp file for out-of-memory raster files - terra::terraOptions(tmpdir = hydroweight_dir) + terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile()))) #terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) ## Set whitebox verbose_mode to FALSE From 52335b6a7226f1394cc73d79a3880a6a67f904f6 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 10:03:47 -0400 Subject: [PATCH 13/85] Update hydroweight.R changed options to gdal in writeRaster --- R/hydroweight.R | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 8dec049..6a2f6e3 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -359,7 +359,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(OS_combine_r) <- dem_crs terra::writeRaster(OS_combine_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -421,7 +421,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucO_inv) <- dem_crs terra::writeRaster(iEucO_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -462,7 +462,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucS_inv) <- dem_crs terra::writeRaster(iEucS_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -501,7 +501,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucS_inv) <- dem_crs terra::writeRaster(iEucS_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -541,7 +541,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLO_inv) <- dem_crs terra::writeRaster(iFLO_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -581,7 +581,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLS_inv) <- dem_crs terra::writeRaster(iFLS_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -619,7 +619,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLS_inv) <- dem_crs terra::writeRaster(iFLS_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -672,7 +672,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(HAiFLO_inv) <- dem_crs terra::writeRaster(HAiFLO_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLO.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -707,7 +707,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::writeRaster(HAiFLS_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } @@ -740,7 +740,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::writeRaster(HAiFLS_inv, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), - overwrite = TRUE, options = c("COMPRESS=NONE"), + overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } From 9691b3de3c69f0290d069b0ef108d3531756a57c Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 10:18:29 -0400 Subject: [PATCH 14/85] Update hydroweight.R replaced wbt_clip_raster_to_polygon with terra::crop in flow_accum step --- R/hydroweight.R | 29 ++++++++++++++++++++++------- 1 file changed, 22 insertions(+), 7 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 6a2f6e3..c3b2cec 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -177,7 +177,9 @@ hydroweight <- function(hydroweight_dir = NULL, y=terra::vect(dem_clip_path) ) terra::crs(dem_clip)<-dem_crs - terra::writeRaster(dem_clip,dem_clip_path) + terra::writeRaster(dem_clip, + dem_clip_path, + overwrite=T) # whitebox::wbt_clip_raster_to_polygon( #PS I think is is very slow for large rasters # input = file.path(hydroweight_dir, dem), # polygons = clip_region_path, @@ -632,12 +634,25 @@ hydroweight <- function(hydroweight_dir = NULL, stop("`flow_accum` required for HAiFLO and/or HAiFLS calculations") } - whitebox::wbt_clip_raster_to_polygon( - input = file.path(hydroweight_dir, flow_accum), - polygons = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")), - verbose_mode = FALSE - ) + flow_accum_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")) + + if (!restart | !file.exists(flow_accum_clip_path)){ + flow_accum_clip<-terra::crop( + x=terra::rast(file.path(hydroweight_dir, flow_accum)), + y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) + ) + terra::crs(flow_accum_clip)<-dem_crs + terra::writeRaster(flow_accum_clip, + flow_accum_clip_path, + overwrite=T) + } + + # whitebox::wbt_clip_raster_to_polygon( #PS I think this is slower than terra + # input = file.path(hydroweight_dir, flow_accum), + # polygons = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), + # output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")), + # verbose_mode = FALSE + # ) accum_clip <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) accum_clip <- accum_clip + 1 From d1ad3571013e2c4cf06f0dc625a37984414183b8 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 10:37:21 -0400 Subject: [PATCH 15/85] Update hydroweight.R reprojected accum_clip again to match clip_dem --- R/hydroweight.R | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index c3b2cec..02acc5d 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -642,6 +642,9 @@ hydroweight <- function(hydroweight_dir = NULL, y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) ) terra::crs(flow_accum_clip)<-dem_crs + + flow_accum_clip<-terra::project(flow_accum_clip,dem_clip) + terra::writeRaster(flow_accum_clip, flow_accum_clip_path, overwrite=T) @@ -655,9 +658,11 @@ hydroweight <- function(hydroweight_dir = NULL, # ) accum_clip <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) - accum_clip <- accum_clip + 1 + # accum_clip <- accum_clip + 1 # PS: I don't know if this is necessary anymore terra::crs(accum_clip) <- dem_crs + accum_clip<-terra::project(accum_clip,dem_clip,method="near") + if ("HAiFLO" %in% weighting_scheme) { HAiFLO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) From 5ec733eedf77cb07892875652988faf29fe0296c Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 10:42:54 -0400 Subject: [PATCH 16/85] Update hydroweight.R missed a method = "near" --- R/hydroweight.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 02acc5d..f898007 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -643,7 +643,7 @@ hydroweight <- function(hydroweight_dir = NULL, ) terra::crs(flow_accum_clip)<-dem_crs - flow_accum_clip<-terra::project(flow_accum_clip,dem_clip) + flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near") terra::writeRaster(flow_accum_clip, flow_accum_clip_path, From c82b6f9906b9586596650ce350de0d566c295085 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 10:49:33 -0400 Subject: [PATCH 17/85] Update hydroweight.R forgot an '_' infront of one of the TEMP files --- R/hydroweight.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index f898007..538f856 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -386,13 +386,13 @@ hydroweight <- function(hydroweight_dir = NULL, if ("iEucO" %in% weighting_scheme) { whitebox::wbt_reclass( input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), reclass_vals = "1,min,1000000" ) # because max sometimes misses max values? whitebox::wbt_cost_distance( source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), + cost = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), verbose_mode = FALSE @@ -433,7 +433,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == FALSE) { whitebox::wbt_cost_distance( source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), + cost = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), verbose_mode = FALSE @@ -472,7 +472,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { whitebox::wbt_cost_distance( source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), - cost = file.path(hydroweight_dir, paste0(target_uid,"TEMP_dem_clip_cost.tif")), + cost = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), verbose_mode = FALSE From 5869744bc88352f1989941372c66c2120a6371c7 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 11:14:04 -0400 Subject: [PATCH 18/85] Update hydroweight.R removed terraOptions (might not allow parallelizing the function) --- R/hydroweight.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 538f856..fde7e29 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -67,8 +67,8 @@ hydroweight <- function(hydroweight_dir = NULL, ## SET UP ---- ## Set up raster temp file for out-of-memory raster files - terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile()))) - #terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) + #terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile()))) + #terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) #PS: this isn't an option in terra ## Set whitebox verbose_mode to FALSE whitebox::wbt_options(verbose = FALSE) From a20998d466a9dbcfff02ec1d784282766588f3c0 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 11 Jul 2022 11:58:19 -0400 Subject: [PATCH 19/85] Update hydroweight.R minor fixes --- R/hydroweight.R | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index fde7e29..2706b4b 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -67,7 +67,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## SET UP ---- ## Set up raster temp file for out-of-memory raster files - #terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile()))) + terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile()))) #terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) #PS: this isn't an option in terra ## Set whitebox verbose_mode to FALSE @@ -88,7 +88,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## Prepare clip_region ---- clip_region_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")) if (!is.null(clip_region)) { - if (!restart | !file.exists(clip_region_path)) { + if (!restart & !file.exists(clip_region_path)) { if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { clip_region <- sf::st_buffer(target_O, clip_region) sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE @@ -171,10 +171,10 @@ hydroweight <- function(hydroweight_dir = NULL, dem_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")) - if (!restart | !file.exists(dem_clip_path)) { + if (!restart & !file.exists(dem_clip_path)) { dem_clip<-terra::crop( x=terra::rast(file.path(hydroweight_dir, dem)), - y=terra::vect(dem_clip_path) + y=terra::vect(clip_region_path) ) terra::crs(dem_clip)<-dem_crs terra::writeRaster(dem_clip, @@ -636,7 +636,7 @@ hydroweight <- function(hydroweight_dir = NULL, flow_accum_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")) - if (!restart | !file.exists(flow_accum_clip_path)){ + if (!restart & !file.exists(flow_accum_clip_path)){ flow_accum_clip<-terra::crop( x=terra::rast(file.path(hydroweight_dir, flow_accum)), y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) From 17aa45f4c63f5f344c4fa15bd9cb581141d3cdf1 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 09:37:03 -0400 Subject: [PATCH 20/85] Fixed an issue when target_o and target_s Fixed an issue when target_o and target_s were given as characters --- R/hydroweight.R | 12 +++--------- 1 file changed, 3 insertions(+), 9 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 2706b4b..de58df9 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -109,9 +109,7 @@ hydroweight <- function(hydroweight_dir = NULL, clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE ) - } - - if (grepl(".tif", clip_region)) { + } else if (grepl(".tif", clip_region)) { #clip_region <- terra::rast(file.path(hydroweight_dir, clip_region)) #if (is.na(terra::crs(clip_region)) | is.null(terra::crs(clip_region))) { @@ -212,9 +210,7 @@ hydroweight <- function(hydroweight_dir = NULL, sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O.shp")), append = FALSE, quiet = TRUE ) - } - - if (grepl(".tif", target_O)) { + } else if (grepl(".tif", target_O)) { target_O <- terra::rast(file.path(hydroweight_dir, target_O)) } } @@ -286,9 +282,7 @@ hydroweight <- function(hydroweight_dir = NULL, sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S.shp")), append = FALSE, quiet = TRUE ) - } - - if (grepl(".tif", target_S)) { + } else if (grepl(".tif", target_S)) { target_S <- terra::rast(file.path(hydroweight_dir, target_S)) } } From 5e408aa9df65c2d71e11b8e024edbc5cb1384cb4 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 10:54:47 -0400 Subject: [PATCH 21/85] Update hydroweight.R Minor edit --- R/hydroweight.R | 53 ++++++++++++++++++++++++------------------------- 1 file changed, 26 insertions(+), 27 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index de58df9..b5ac993 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -42,7 +42,6 @@ #' @param dem character (with extension, e.g., "dem.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Digital elevation model raster. #' @param flow_accum character (with extension, e.g., "flow_accum.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Flow accumulation raster (units: # of cells). #' @param weighting_scheme character. One or more weighting schemes: c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS") -#' @param restart logical. Should the function attempt to restart using intermediate files in working directory? #' @param inv_function function or named list of functions based on \code{weighting_scheme} names. Inverse function used in \code{terra::app()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km. #' @return Named list of distance-weighted rasters and accompanying \code{*.rds} in \code{hydroweight_dir} #' @export @@ -56,7 +55,6 @@ hydroweight <- function(hydroweight_dir = NULL, dem = NULL, flow_accum = NULL, weighting_scheme = NULL, - restart=F, inv_function = function(x) { (x * 0.001 + 1)^-1 }) { @@ -169,22 +167,22 @@ hydroweight <- function(hydroweight_dir = NULL, dem_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")) - if (!restart & !file.exists(dem_clip_path)) { - dem_clip<-terra::crop( - x=terra::rast(file.path(hydroweight_dir, dem)), - y=terra::vect(clip_region_path) - ) - terra::crs(dem_clip)<-dem_crs - terra::writeRaster(dem_clip, - dem_clip_path, - overwrite=T) + + dem_clip<-terra::crop( + x=terra::rast(file.path(hydroweight_dir, dem)), + y=terra::vect(clip_region_path) + ) + terra::crs(dem_clip)<-dem_crs + terra::writeRaster(dem_clip, + dem_clip_path, + overwrite=T) # whitebox::wbt_clip_raster_to_polygon( #PS I think is is very slow for large rasters # input = file.path(hydroweight_dir, dem), # polygons = clip_region_path, # output = dem_clip_path, # verbose_mode = FALSE # ) - } + dem_clip <- terra::rast(dem_clip_path) terra::crs(dem_clip) <- dem_crs @@ -253,7 +251,9 @@ hydroweight <- function(hydroweight_dir = NULL, ## write target_O and adjust to clip_region if RasterLayer if (class(target_O)[1] %in% c("SpatRaster","RasterLayer")) { - target_O_r <- terra::rast(target_O) + if (class(target_O)[1] %in% c("RasterLayer")) target_O_r <- terra::rast(target_O) + if (class(target_O)[1] %in% c("SpatRaster")) target_O_r <- target_O + target_O_r <- terra::project(target_O_r, dem_clip, method = "near") terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE @@ -325,7 +325,8 @@ hydroweight <- function(hydroweight_dir = NULL, ## write target_S and adjust to clip_region if RasterLayer if (class(target_S)[1] %in% c("SpatRaster","RasterLayer")) { - target_S_r <- terra::rast(target_S) + if (class(target_O)[1] %in% c("RasterLayer")) target_S_r <- terra::rast(target_S) + if (class(target_O)[1] %in% c("SpatRaster")) target_S_r <- target_S target_S_r <- terra::project(target_S_r, dem_clip, method = "near") terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE @@ -630,19 +631,17 @@ hydroweight <- function(hydroweight_dir = NULL, flow_accum_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")) - if (!restart & !file.exists(flow_accum_clip_path)){ - flow_accum_clip<-terra::crop( - x=terra::rast(file.path(hydroweight_dir, flow_accum)), - y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) - ) - terra::crs(flow_accum_clip)<-dem_crs - - flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near") - - terra::writeRaster(flow_accum_clip, - flow_accum_clip_path, - overwrite=T) - } + + flow_accum_clip<-terra::crop( + x=terra::rast(file.path(hydroweight_dir, flow_accum)), + y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) + ) + terra::crs(flow_accum_clip)<-dem_crs + flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near") + terra::writeRaster(flow_accum_clip, + flow_accum_clip_path, + overwrite=T) + # whitebox::wbt_clip_raster_to_polygon( #PS I think this is slower than terra # input = file.path(hydroweight_dir, flow_accum), From c9a24e1deaf2451e91d4c08391ba91e3b2a023ba Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 10:58:57 -0400 Subject: [PATCH 22/85] Update hydroweight.R Removed restart --- R/hydroweight.R | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index b5ac993..69e376a 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -86,7 +86,6 @@ hydroweight <- function(hydroweight_dir = NULL, ## Prepare clip_region ---- clip_region_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")) if (!is.null(clip_region)) { - if (!restart & !file.exists(clip_region_path)) { if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { clip_region <- sf::st_buffer(target_O, clip_region) sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE @@ -130,10 +129,7 @@ hydroweight <- function(hydroweight_dir = NULL, sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE) } } - } else { - clip_region<-sf::st_read(clip_region_path, quiet = TRUE) - sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - } + } From 38f6a9f13140e75e9e41d4c92dca9c1b3b287118 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 11:00:14 -0400 Subject: [PATCH 23/85] Update hydroweight.R Minor fix --- R/hydroweight.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 69e376a..07142fe 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -321,8 +321,8 @@ hydroweight <- function(hydroweight_dir = NULL, ## write target_S and adjust to clip_region if RasterLayer if (class(target_S)[1] %in% c("SpatRaster","RasterLayer")) { - if (class(target_O)[1] %in% c("RasterLayer")) target_S_r <- terra::rast(target_S) - if (class(target_O)[1] %in% c("SpatRaster")) target_S_r <- target_S + if (class(target_S)[1] %in% c("RasterLayer")) target_S_r <- terra::rast(target_S) + if (class(target_S)[1] %in% c("SpatRaster")) target_S_r <- target_S target_S_r <- terra::project(target_S_r, dem_clip, method = "near") terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE From ffe5d2d7d177b1d332fe3d70e252b65d110cb53f Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 12:10:03 -0400 Subject: [PATCH 24/85] Minor update to how lumped is calculated --- R/hydroweight.R | 139 +++++++++++++++++++++++++----------------------- 1 file changed, 73 insertions(+), 66 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 07142fe..e755866 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -86,50 +86,50 @@ hydroweight <- function(hydroweight_dir = NULL, ## Prepare clip_region ---- clip_region_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")) if (!is.null(clip_region)) { - if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { - clip_region <- sf::st_buffer(target_O, clip_region) + if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { + clip_region <- sf::st_buffer(target_O, clip_region) + sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE + ) + } + + if (class(clip_region)[1] == "sf") { + sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE + ) + } + + if (class(clip_region)[1] == "character") { + if (!grepl(".shp", clip_region) & !grepl(".tif", clip_region)) { + stop("If clip_region is character, target_O should be a .shp or .tif") + } + + if (grepl(".shp", clip_region)) { + clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE ) - } + } else if (grepl(".tif", clip_region)) { + #clip_region <- terra::rast(file.path(hydroweight_dir, clip_region)) + + #if (is.na(terra::crs(clip_region)) | is.null(terra::crs(clip_region))) { + # stop("clip_region crs() is NULL or NA. Apply projection before continuing") + #} - if (class(clip_region)[1] == "sf") { - sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE + whitebox::wbt_reclass( + input = file.path(hydroweight_dir, clip_region), + output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), + reclass_vals = "1,min,max" ) - } - if (class(clip_region)[1] == "character") { - if (!grepl(".shp", clip_region) & !grepl(".tif", clip_region)) { - stop("If clip_region is character, target_O should be a .shp or .tif") - } + whitebox::wbt_raster_to_vector_polygons( + input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), + output = clip_region_path + ) - if (grepl(".shp", clip_region)) { - clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) - sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE - ) - } else if (grepl(".tif", clip_region)) { - #clip_region <- terra::rast(file.path(hydroweight_dir, clip_region)) - - #if (is.na(terra::crs(clip_region)) | is.null(terra::crs(clip_region))) { - # stop("clip_region crs() is NULL or NA. Apply projection before continuing") - #} - - whitebox::wbt_reclass( - input = file.path(hydroweight_dir, clip_region), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - reclass_vals = "1,min,max" - ) - - whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - output = clip_region_path - ) - - clip_region <- sf::st_read(clip_region_path, quiet = TRUE) - sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE) - } + clip_region <- sf::st_read(clip_region_path, quiet = TRUE) + sf::st_crs(clip_region) <- sf::st_crs(dem_crs) + sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE) } - + } + } @@ -163,22 +163,22 @@ hydroweight <- function(hydroweight_dir = NULL, dem_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")) - - dem_clip<-terra::crop( + + dem_clip<-terra::crop( x=terra::rast(file.path(hydroweight_dir, dem)), y=terra::vect(clip_region_path) ) - terra::crs(dem_clip)<-dem_crs - terra::writeRaster(dem_clip, + terra::crs(dem_clip)<-dem_crs + terra::writeRaster(dem_clip, dem_clip_path, overwrite=T) - # whitebox::wbt_clip_raster_to_polygon( #PS I think is is very slow for large rasters - # input = file.path(hydroweight_dir, dem), - # polygons = clip_region_path, - # output = dem_clip_path, - # verbose_mode = FALSE - # ) - + # whitebox::wbt_clip_raster_to_polygon( #PS I think is is very slow for large rasters + # input = file.path(hydroweight_dir, dem), + # polygons = clip_region_path, + # output = dem_clip_path, + # verbose_mode = FALSE + # ) + dem_clip <- terra::rast(dem_clip_path) terra::crs(dem_clip) <- dem_crs @@ -249,7 +249,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_O)[1] %in% c("SpatRaster","RasterLayer")) { if (class(target_O)[1] %in% c("RasterLayer")) target_O_r <- terra::rast(target_O) if (class(target_O)[1] %in% c("SpatRaster")) target_O_r <- target_O - + target_O_r <- terra::project(target_O_r, dem_clip, method = "near") terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE @@ -362,24 +362,31 @@ hydroweight <- function(hydroweight_dir = NULL, message("Running distance-weighting @ ", Sys.time()) if ("lumped" %in% weighting_scheme) { - whitebox::wbt_reclass( - input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), - reclass_vals = "1,min,1000000" - ) # because max sometimes misses max values? - - lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif"))) - terra::crs(lumped_inv) <- dem_crs - lumped_inv <- terra::setValues(terra::rast(lumped_inv), lumped_inv[]) + # whitebox::wbt_reclass( + # input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), + # output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), + # reclass_vals = "1,min,1000000" + # ) # because max sometimes misses max values? + + # lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif"))) + # terra::crs(lumped_inv) <- dem_crs + # lumped_inv <- terra::setValues(terra::rast(lumped_inv), lumped_inv[]) + + lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif"))) + lumped_inv[!is.na(lumped_inv)]<-1 } ## iEucO, Euclidean distance to target_O ---- if ("iEucO" %in% weighting_scheme) { - whitebox::wbt_reclass( - input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), - reclass_vals = "1,min,1000000" - ) # because max sometimes misses max values? + # whitebox::wbt_reclass( + # input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), + # output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), + # reclass_vals = "1,min,1000000" + # ) # because max sometimes misses max values? + + lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif"))) + lumped_inv[!is.na(lumped_inv)]<-1 + writeRaster(lumped_inv,file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif"))) whitebox::wbt_cost_distance( source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), @@ -627,7 +634,7 @@ hydroweight <- function(hydroweight_dir = NULL, flow_accum_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")) - + flow_accum_clip<-terra::crop( x=terra::rast(file.path(hydroweight_dir, flow_accum)), y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) @@ -637,7 +644,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::writeRaster(flow_accum_clip, flow_accum_clip_path, overwrite=T) - + # whitebox::wbt_clip_raster_to_polygon( #PS I think this is slower than terra # input = file.path(hydroweight_dir, flow_accum), @@ -761,7 +768,7 @@ hydroweight <- function(hydroweight_dir = NULL, weighting_scheme_inv <- paste0(weighting_scheme, "_inv") dist_list <- lapply(weighting_scheme_inv, function(x) { - get(x) + get(x) #I think this can cause problems }) names(dist_list) <- weighting_scheme From 8b26ef1f741b471c17af359658e458cd6db1598a Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 12:23:14 -0400 Subject: [PATCH 25/85] updated how lumped is calculated --- R/hydroweight.R | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index e755866..86eb440 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -168,6 +168,13 @@ hydroweight <- function(hydroweight_dir = NULL, x=terra::rast(file.path(hydroweight_dir, dem)), y=terra::vect(clip_region_path) ) + + dem_clip<-terra::mask( + x=dem_clip, + mask=terra::vect(clip_region_path), + touches=T + ) + terra::crs(dem_clip)<-dem_crs terra::writeRaster(dem_clip, dem_clip_path, @@ -384,7 +391,7 @@ hydroweight <- function(hydroweight_dir = NULL, # reclass_vals = "1,min,1000000" # ) # because max sometimes misses max values? - lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif"))) + lumped_inv <- dem_clip lumped_inv[!is.na(lumped_inv)]<-1 writeRaster(lumped_inv,file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif"))) From 3a8650cc26226c6409fde7544d07d5a4548ab1d2 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 12:37:20 -0400 Subject: [PATCH 26/85] added terra::wrap() to output of hydroweight for saving as .rds file --- R/hydroweight.R | 2 ++ R/hydroweight_attributes.R | 3 +++ 2 files changed, 5 insertions(+) diff --git a/R/hydroweight.R b/R/hydroweight.R index 86eb440..9a9d988 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -779,6 +779,8 @@ hydroweight <- function(hydroweight_dir = NULL, }) names(dist_list) <- weighting_scheme + dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 + saveRDS(dist_list, file = file.path( hydroweight_dir, paste0(target_uid, "_inv_distances.rds") diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index bffc415..d75dd0f 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -38,6 +38,9 @@ hydroweight_attributes <- function(loi = NULL, remove_region = NULL, return_products = TRUE) { + distance_weights<-lapply(distance_weights,terra::rast) + distance_weights<-lapply(distance_weights,raster::raster) # haven't converted this function to terra yet + ## Set resampling based on loi_numeric if (loi_numeric == TRUE) { loi_resample <- "bilinear" From 1ec38225a35b9d7fe51531adba6a5646af092294 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 14:58:07 -0400 Subject: [PATCH 27/85] Added filenames to terra::project --- R/hydroweight.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 9a9d988..5cfa689 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -257,7 +257,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_O)[1] %in% c("RasterLayer")) target_O_r <- terra::rast(target_O) if (class(target_O)[1] %in% c("SpatRaster")) target_O_r <- target_O - target_O_r <- terra::project(target_O_r, dem_clip, method = "near") + target_O_r <- terra::project(target_O_r, dem_clip, method = "near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif"))) terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE ) @@ -330,7 +330,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_S)[1] %in% c("SpatRaster","RasterLayer")) { if (class(target_S)[1] %in% c("RasterLayer")) target_S_r <- terra::rast(target_S) if (class(target_S)[1] %in% c("SpatRaster")) target_S_r <- target_S - target_S_r <- terra::project(target_S_r, dem_clip, method = "near") + target_S_r <- terra::project(target_S_r, dem_clip, method = "near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif"))) terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE ) @@ -647,7 +647,7 @@ hydroweight <- function(hydroweight_dir = NULL, y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) ) terra::crs(flow_accum_clip)<-dem_crs - flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near") + flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) terra::writeRaster(flow_accum_clip, flow_accum_clip_path, overwrite=T) @@ -664,7 +664,7 @@ hydroweight <- function(hydroweight_dir = NULL, # accum_clip <- accum_clip + 1 # PS: I don't know if this is necessary anymore terra::crs(accum_clip) <- dem_crs - accum_clip<-terra::project(accum_clip,dem_clip,method="near") + accum_clip<-terra::project(accum_clip,dem_clip,method="near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) if ("HAiFLO" %in% weighting_scheme) { From 0a5f7f4a46df584cfcfa5a4af73885b0b84ee24e Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 14 Jul 2022 15:32:42 -0400 Subject: [PATCH 28/85] Add overwrite=T --- R/hydroweight.R | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 5cfa689..e9b1ec2 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -257,7 +257,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_O)[1] %in% c("RasterLayer")) target_O_r <- terra::rast(target_O) if (class(target_O)[1] %in% c("SpatRaster")) target_O_r <- target_O - target_O_r <- terra::project(target_O_r, dem_clip, method = "near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif"))) + target_O_r <- terra::project(target_O_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif"))) terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE ) @@ -393,7 +393,7 @@ hydroweight <- function(hydroweight_dir = NULL, lumped_inv <- dem_clip lumped_inv[!is.na(lumped_inv)]<-1 - writeRaster(lumped_inv,file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif"))) + terra::writeRaster(lumped_inv,file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif"),overwrite=T)) whitebox::wbt_cost_distance( source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), @@ -647,7 +647,7 @@ hydroweight <- function(hydroweight_dir = NULL, y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) ) terra::crs(flow_accum_clip)<-dem_crs - flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) + flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) terra::writeRaster(flow_accum_clip, flow_accum_clip_path, overwrite=T) @@ -664,7 +664,7 @@ hydroweight <- function(hydroweight_dir = NULL, # accum_clip <- accum_clip + 1 # PS: I don't know if this is necessary anymore terra::crs(accum_clip) <- dem_crs - accum_clip<-terra::project(accum_clip,dem_clip,method="near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + accum_clip<-terra::project(accum_clip,dem_clip,method="near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) if ("HAiFLO" %in% weighting_scheme) { From 58e63bd4fa33ee498b31384fd5da73c289713871 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Fri, 15 Jul 2022 08:20:24 -0400 Subject: [PATCH 29/85] Missed an overwrite = TRUE --- R/hydroweight.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index e9b1ec2..2bf20a5 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -330,7 +330,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_S)[1] %in% c("SpatRaster","RasterLayer")) { if (class(target_S)[1] %in% c("RasterLayer")) target_S_r <- terra::rast(target_S) if (class(target_S)[1] %in% c("SpatRaster")) target_S_r <- target_S - target_S_r <- terra::project(target_S_r, dem_clip, method = "near",filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif"))) + target_S_r <- terra::project(target_S_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif"))) terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE ) From a6bf2d7f6c0a3dced57f20b7d386af5f1b07cb28 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Fri, 15 Jul 2022 09:31:21 -0400 Subject: [PATCH 30/85] changed filename parameter in terra::project to be unique from writeRasters --- R/hydroweight.R | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 2bf20a5..834fbfb 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -65,7 +65,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## SET UP ---- ## Set up raster temp file for out-of-memory raster files - terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile()))) + terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile())), verbose=F) #terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) #PS: this isn't an option in terra ## Set whitebox verbose_mode to FALSE @@ -257,7 +257,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_O)[1] %in% c("RasterLayer")) target_O_r <- terra::rast(target_O) if (class(target_O)[1] %in% c("SpatRaster")) target_O_r <- target_O - target_O_r <- terra::project(target_O_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif"))) + target_O_r <- terra::project(target_O_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip1.tif"))) terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), overwrite = TRUE ) @@ -330,7 +330,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (class(target_S)[1] %in% c("SpatRaster","RasterLayer")) { if (class(target_S)[1] %in% c("RasterLayer")) target_S_r <- terra::rast(target_S) if (class(target_S)[1] %in% c("SpatRaster")) target_S_r <- target_S - target_S_r <- terra::project(target_S_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif"))) + target_S_r <- terra::project(target_S_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip1.tif"))) terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), overwrite = TRUE ) @@ -647,7 +647,7 @@ hydroweight <- function(hydroweight_dir = NULL, y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) ) terra::crs(flow_accum_clip)<-dem_crs - flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) + flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip1.tif"))) terra::writeRaster(flow_accum_clip, flow_accum_clip_path, overwrite=T) @@ -664,7 +664,7 @@ hydroweight <- function(hydroweight_dir = NULL, # accum_clip <- accum_clip + 1 # PS: I don't know if this is necessary anymore terra::crs(accum_clip) <- dem_crs - accum_clip<-terra::project(accum_clip,dem_clip,method="near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + accum_clip<-terra::project(accum_clip,dem_clip,method="near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO1.tif"))) if ("HAiFLO" %in% weighting_scheme) { From acd329d887fa502add8e7ff5960b8f35d0546dfa Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 18 Jul 2022 13:47:25 -0400 Subject: [PATCH 31/85] Major update to hydroweight_attributes to switch to terra --- DESCRIPTION | 5 +- R/hydroweight.R | 38 +- R/hydroweight_attributes.R | 269 +++++++---- README.Rmd | 542 +++++++++++++--------- man/figures/README-unnamed-chunk-11-1.png | Bin 160746 -> 169790 bytes man/figures/README-unnamed-chunk-4-1.png | Bin 30443 -> 31195 bytes man/figures/README-unnamed-chunk-6-1.png | Bin 24162 -> 11648 bytes man/figures/README-unnamed-chunk-6-2.png | Bin 0 -> 5366 bytes man/figures/README-unnamed-chunk-8-1.png | Bin 5841 -> 5023 bytes man/figures/README-unnamed-chunk-9-1.png | Bin 10317 -> 10710 bytes man/hydroweight.Rd | 15 +- man/hydroweight_attributes.Rd | 16 +- 12 files changed, 556 insertions(+), 329 deletions(-) create mode 100644 man/figures/README-unnamed-chunk-6-2.png diff --git a/DESCRIPTION b/DESCRIPTION index 45d2d62..1c2d8e8 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -7,6 +7,9 @@ Authors@R: c( role = c("aut", "cre"), email = c("brian.kielstra@nrcan-rncan.gc.ca", "b.kielstra@alumni.ubc.ca"), comment = c(ORCID = "0000-0003-1105-4971")), + person(given = "Patrick", + family = "Schaefer", + role = c("aut")), person(given = "Rob", family = "Mackereth", role = c("aut")), @@ -33,7 +36,7 @@ License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) -RoxygenNote: 7.1.1 +RoxygenNote: 7.2.0 Depends: R (>= 4.0) Imports: diff --git a/R/hydroweight.R b/R/hydroweight.R index 834fbfb..57535bb 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -43,6 +43,7 @@ #' @param flow_accum character (with extension, e.g., "flow_accum.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Flow accumulation raster (units: # of cells). #' @param weighting_scheme character. One or more weighting schemes: c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS") #' @param inv_function function or named list of functions based on \code{weighting_scheme} names. Inverse function used in \code{terra::app()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km. +#' @param clean_tempfiles logical. Should temporary files be removed? #' @return Named list of distance-weighted rasters and accompanying \code{*.rds} in \code{hydroweight_dir} #' @export #' @@ -57,7 +58,8 @@ hydroweight <- function(hydroweight_dir = NULL, weighting_scheme = NULL, inv_function = function(x) { (x * 0.001 + 1)^-1 - }) { + }, + clean_tempfiles=T) { # TODO: Add checks to make sure all raster inputs are SpatRaster NOT RasterLayer # TODO: class(___)[1] should be changed to inherits() @@ -219,7 +221,7 @@ hydroweight <- function(hydroweight_dir = NULL, ## write target_O and adjust to clip_region if sf if (class(target_O)[1] == "sf") { if (any(sf::st_is(target_O, c("POLYGON", "MULTIPOLYGON")))) { - target_O_r <- terra::rasterize(sf::as_Spatial(target_O), + target_O_r <- terra::rasterize(x=terra::vect(target_O), y = dem_clip, filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), field = 1, @@ -234,7 +236,7 @@ hydroweight <- function(hydroweight_dir = NULL, target_O_int <- sf::st_intersects(target_O, dem_clip_extent) target_O_int <- target_O[lengths(target_O_int) > 0, ] - target_O_r <- terra::rasterize(sf::as_Spatial(target_O_int), + target_O_r <- terra::rasterize(terra::vect(target_O_int), y = dem_clip, filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), field = 1, @@ -348,11 +350,11 @@ hydroweight <- function(hydroweight_dir = NULL, target_S_OS[target_S_OS > 0] <- 1 target_O_OS[target_O_OS > 0] <- 1 - mosaic_list <- list(target_O_OS, target_S_OS) - mosaic_list$fun <- sum - mosaic_list$na.rm <- TRUE + # mosaic_list$x <- terra::rast(list(target_O_OS, target_S_OS)) + # mosaic_list$fun <- sum + # mosaic_list$na.rm <- TRUE - OS_combine_r <- do.call(terra::mosaic, mosaic_list) + OS_combine_r <- terra::mosaic(x=terra::sprc(list(target_O_OS, target_S_OS)), fun="sum") OS_combine_r[OS_combine_r > 0] <- 1 OS_combine_r[OS_combine_r == 0] <- NA @@ -393,7 +395,7 @@ hydroweight <- function(hydroweight_dir = NULL, lumped_inv <- dem_clip lumped_inv[!is.na(lumped_inv)]<-1 - terra::writeRaster(lumped_inv,file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif"),overwrite=T)) + terra::writeRaster(lumped_inv,file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")),overwrite=T) whitebox::wbt_cost_distance( source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), @@ -775,7 +777,9 @@ hydroweight <- function(hydroweight_dir = NULL, weighting_scheme_inv <- paste0(weighting_scheme, "_inv") dist_list <- lapply(weighting_scheme_inv, function(x) { - get(x) #I think this can cause problems + out<-get(x) #I think this can cause problems + names(out)<-gsub("_inv","",x) + return(out) }) names(dist_list) <- weighting_scheme @@ -787,13 +791,15 @@ hydroweight <- function(hydroweight_dir = NULL, )) ## CLEAN UP ---- - temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_hydroweight_"), - full.names = TRUE) - file.remove(temp_rasters) - - temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_TEMP-"), - full.names = TRUE) - file.remove(temp_rasters) + if (clean_tempfiles){ + temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_hydroweight_"), + full.names = TRUE) + file.remove(temp_rasters) + + temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_TEMP-"), + full.names = TRUE) + file.remove(temp_rasters) + } return(dist_list) } diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index d75dd0f..fba7d79 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -12,34 +12,96 @@ #' #' Spatial layers are aligned to \code{distance_weights} (i.e., identical coordinate reference systems - CRS). #' -#' @param loi \code{sf} or \code{RasterLayer}. Layer of interest (e.g., land use layer). +#' @param loi character (with extension, e.g., "lu.shp"), \code{sf} or \code{RasterLayer}. Layer of interest (e.g., land use layer). #' @param loi_attr_col character. A name that will precede the calculated attributes (e.g., loi_mean, loi_median etc.) #' @param loi_columns character. The column names over which to summarize the attributes. #' @param loi_numeric logical. If \code{TRUE}, the `loi_columns` being summarized are numeric. If \code{FALSE}, the `loi_columns` being summarized are categorical. #' @param loi_numeric_stats character. One or more of c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"). Those without distwtd_ are simple "lumped" statistics. -#' @param roi \code{sf} or \code{RasterLayer}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes. +#' @param roi character (with extension, e.g., "roi.shp"), \code{sf} or \code{RasterLayer}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes. #' @param roi_uid character. Unique identifier value for the roi. #' @param roi_uid_col character. Column name that will be assigned to the roi_uid. -#' @param distance_weights \code{list}. The distance-weighted rasters output from \code{hydroweight}. +#' @param distance_weights character (with extension, e.g., "idw.rds"), \code{list}. The distance-weighted rasters output from \code{hydroweight}. #' @param remove_region \code{sf} or \code{RasterLayer}. Regions to remove when summarizing the attributes (e.g., remove lake from catchment) #' @param return_products logical. If \code{TRUE}, a list containing attribute summary table, the \code{roi-} and \code{remove_region}-masked layer (i.e., all cells contributing to attribute calculation), and \code{distance_weights} raster. If \code{FALSE}, attribute summary table only. #' @return If \code{return_products = TRUE}, a list containing 1) attribute summary table, and 2) a list of return_products of \code{length(distance_weights)} where each list element contains a list of 2 sub-elements: 1) \code{roi-} and \code{remove_region}-masked \code{loi} (i.e., all cells contributing to attribute calculation), and 2) the \code{roi-} and \code{remove_region}-masked \code{distance_weights} raster. If \code{return_products = FALSE}, attribute summary table only. #' @export -hydroweight_attributes <- function(loi = NULL, +hydroweight_attributes <- function(loi, loi_attr_col = NULL, loi_columns = NULL, loi_numeric = NULL, loi_numeric_stats = NULL, - roi = NULL, - roi_uid = NULL, - roi_uid_col = NULL, - distance_weights = NULL, - remove_region = NULL, + roi, + roi_uid, + roi_uid_col, + distance_weights, + remove_region=NULL, return_products = TRUE) { - distance_weights<-lapply(distance_weights,terra::rast) - distance_weights<-lapply(distance_weights,raster::raster) # haven't converted this function to terra yet + hydroweight_dir<-tempdir() + if (!dir.exists(hydroweight_dir)) dir.create(hydroweight_dir) + + if (inherits(loi,"character")){ + if (grepl("\\.shp$",loi)) { + loi<-terra::vect(loi) + } else if (grepl("\\.tif$|\\.tiff",loi)) { + loi<-terra::rast(loi) + } else { + stop("'loi' must be spcified as vector or raster layer, or a character string ending in .shp or .tif") + } + } + if (inherits(loi,"RasterLayer")){ + loi<-terra::rast(loi) + } + if (inherits(loi,"sf")){ + loi<-terra::vect(loi) + } + + if (inherits(roi,"character")){ + if (grepl("\\.shp$",roi)) { + roi<-terra::vect(roi) + } else if (grepl("\\.tif$|\\.tiff",roi)) { + roi<-terra::rast(roi) + } else { + stop("'roi' must be spcified as vector or raster layer, or a character string ending in .shp or .tif") + } + } + if (inherits(roi,"RasterLayer")){ + roi<-terra::rast(roi) + } + if (inherits(roi,"sf")){ + roi<-terra::vect(roi) + } + + if (!roi_uid_col %in% names(roi)) { + stop("`roi_uid_col` must be in `roi`") + } + + if (inherits(remove_region,"character")){ + if (grepl("\\.shp$",remove_region)) { + remove_region<-terra::vect(remove_region) + } else if (grepl("\\.tif$|\\.tiff",remove_region)) { + remove_region<-terra::rast(remove_region) + } else { + stop("'remove_region' must be spcified as vector or raster layer, or a character string ending in .shp or .tif") + } + } + if (inherits(remove_region,"RasterLayer")){ + remove_region<-terra::rast(remove_region) + } + if (inherits(remove_region,"sf")){ + remove_region<-terra::vect(remove_region) + } + + if (inherits(distance_weights,"character")){ + if (grepl("\\.rds$",distance_weights)) { + distance_weights<-readRDS(distance_weights) + } else { + stop("'distance_weights' must be specified as .rds file") + } + } + + distance_weights<-lapply(distance_weights,function(x) if (inherits(x,"PackedSpatRaster")) terra::rast(x) else x) ## Set resampling based on loi_numeric if (loi_numeric == TRUE) { @@ -50,13 +112,15 @@ hydroweight_attributes <- function(loi = NULL, loi_resample <- "ngb" } - if (inherits(loi, "RasterLayer")) { + if (inherits(loi, ("SpatRaster"))) { message("\n Reprojecting `loi` to match `distance_weights` using method `ngb/bilinear` if loi_categorical == `TRUE/FALSE`") - loi_r <- raster::projectRaster( - from = loi, - to = distance_weights[[1]], - method = loi_resample + loi_r <- terra::project( + x = loi, + y = distance_weights[[1]], + method = loi_resample, + overwrite = TRUE, + filename=file.path(paste0(tempfile(),".tif")) ) } @@ -67,96 +131,111 @@ hydroweight_attributes <- function(loi = NULL, ## If polygon loi has a field of interest with categorical data, categories ## are used to produce a RasterBrick of these - if (inherits(loi, "sf")) { + if (inherits(loi, "SpatVector")) { if (loi_numeric == TRUE) { loi_r <- lapply(loi_columns, function(x) { - loi_return <- fasterize::fasterize(loi, - raster = distance_weights[[1]], - field = x + loi_return <- terra::rasterize(x=loi, + y= distance_weights[[1]], + field = x ) }) names(loi_r) <- loi_columns - loi_r <- raster::brick(loi_r) + loi_r <- terra::rast(loi_r) } if (loi_numeric == FALSE) { loi_r <- lapply(loi_columns, function(x) { - brick_ret <- fasterize::fasterize(loi, - raster = distance_weights[[1]], - by = x + brick_ret <- terra::rasterize(x=loi, + y= distance_weights[[1]], + field = x ) - names(brick_ret) <- paste0(x, names(brick_ret)) + # names(brick_ret) <- paste0(x, names(brick_ret)) brick_ret }) - loi_r <- raster::brick(loi_r) + loi_r <- terra::rast(loi_r) ## Account for fasterizing NAs - names(loi_r) <- gsub("NA\\.", "XNA", names(loi_r)) + # names(loi_r) <- gsub("NA\\.", "XNA", names(loi_r)) } } ## Generate roi - if (inherits(roi, "sf")) { - roi_r <- fasterize::fasterize(roi, raster = distance_weights[[1]]) + if (inherits(roi, "SpatVector")) { + roi_r <- terra::rasterize(x=roi, y= distance_weights[[1]]) } else { message("\n Reprojecting `roi` to match `distance_weights` attributes using method `loi_resample`") - roi_r <- raster::projectRaster( - from = roi, - to = distance_weights[[1]], - method = loi_resample + roi_r <- terra::project( + x = roi, + y = distance_weights[[1]], + method = loi_resample, + overwrite = TRUE, + filename=file.path(paste0(tempfile(),".tif")) ) } ## Mask out remove_region if present if (!is.null(remove_region)) { - if (inherits(remove_region, "sf")) { - remove_region_r <- fasterize::fasterize(remove_region, raster = distance_weights[[1]]) + if (inherits(remove_region, "SpatVector")) { + remove_region_r <- terra::rasterize(x=remove_region, y = distance_weights[[1]]) } else { remove_region_r <- remove_region } - roi_r <- raster::mask(roi_r, mask = remove_region_r, inverse = TRUE) + roi_r <- terra::mask(x=roi_r, mask = remove_region_r, inverse = TRUE) } distance_weights_attributes <- lapply(1:length(distance_weights), function(ii) { + #browser() + # This loop could definitely be optimized better ## For raster data with loi_numeric numbers if (loi_numeric == TRUE) { ## Mask out roi - loi_r_mask <- raster::mask(loi_r, roi_r) - distance_weights_mask <- raster::mask(distance_weights[[ii]], roi_r) + loi_r_mask <- terra::mask(loi_r, roi_r) + distance_weights_mask <- terra::mask(distance_weights[[ii]], roi_r) ## Make sure NA across loi_r_mask is replicated across distance_weights_mask distance_weights_mask <- distance_weights_mask * !is.na(loi_r_mask) ## - (loi_dist <- loi_r_mask * distance_weights_mask) + loi_dist <- loi_r_mask * distance_weights_mask names(loi_dist) <- names(loi_r_mask) ## Weighted mean - (loi_distwtd_mean <- raster::cellStats(loi_dist, stat = "sum", na.rm = TRUE) / raster::cellStats(distance_weights_mask, stat = "sum", na.rm = T)) + loi_distwtd_mean <- terra::global(loi_dist, fun = "sum", na.rm = TRUE) / terra::global(distance_weights_mask, fun = "sum", na.rm = T) + colnames(loi_distwtd_mean)<-"distwtd_mean" ## Weighted standard deviation ## https://stats.stackexchange.com/questions/6534/how-do-i-calculate-a-weighted-standard-deviation-in-excel - (term1 <- raster::cellStats((distance_weights_mask * (loi_r_mask - loi_distwtd_mean)^2), stat = "sum", na.rm = TRUE)) - (M <- raster::cellStats(distance_weights_mask != 0, "sum", na.rm = T)) - (term2 <- ((M - 1) / M) * raster::cellStats(distance_weights_mask, stat = "sum", na.rm = TRUE)) + term1 <- terra::global((distance_weights_mask * (loi_r_mask - unlist(loi_distwtd_mean))^2), fun = "sum", na.rm = TRUE) + M <- terra::global(distance_weights_mask != 0, fun="sum", na.rm = T) + term2 <- ((M - 1) / M) * terra::global(distance_weights_mask, fun = "sum", na.rm = TRUE) - (loi_distwtd_sd <- sqrt(term1 / term2)) + loi_distwtd_sd <- sqrt(term1 / term2) + colnames(loi_distwtd_sd)<-"distwtd_sd" ## Non-weighted statistics - (loi_mean <- raster::cellStats(loi_r_mask, stat = "mean", na.rm = T)) - (loi_sd <- raster::cellStats(loi_r_mask, stat = "sd", na.rm = T)) - (loi_median <- stats::median(loi_r_mask@data@values, na.rm = T)) - (loi_min <- raster::cellStats(loi_r_mask, stat = "min", na.rm = T)) - (loi_max <- raster::cellStats(loi_r_mask, stat = "max", na.rm = T)) - (loi_sum <- raster::cellStats(loi_r_mask, stat = "sum", na.rm = T)) - (loi_cell_count <- !is.na(loi_r_mask)) - (loi_cell_count <- raster::cellStats(loi_cell_count, "sum", na.rm = T)) - (roi_cell_count <- raster::cellStats(roi_r, "sum", na.rm = T)) - (loi_NA_cell_count <- roi_cell_count - loi_cell_count) + loi_mean <- terra::global(loi_r_mask, fun = "mean", na.rm = T) + colnames(loi_mean)<-"mean" + loi_sd <- terra::global(loi_r_mask, fun = "sd", na.rm = T) + colnames(loi_sd)<-"sd" + loi_median <- terra::global(loi_r_mask, fun = function(x) median(x,na.rm=T)) + colnames(loi_median)<-"median" + loi_min <- terra::global(loi_r_mask, fun = "min", na.rm = T) + colnames(loi_min)<-"min" + loi_max <- terra::global(loi_r_mask, fun = "max", na.rm = T) + colnames(loi_max)<-"max" + loi_sum <- terra::global(loi_r_mask, fun = "sum", na.rm = T) + colnames(loi_sum)<-"sum" + loi_cell_count <- !is.na(loi_r_mask) + loi_cell_count <- terra::global(loi_cell_count, fun="sum", na.rm = T) + colnames(loi_cell_count)<-"cell_count" + roi_cell_count <- terra::global(roi_r, fun="sum", na.rm = T) + loi_NA_cell_count <- unlist(roi_cell_count) - unlist(loi_cell_count) + loi_NA_cell_count<-data.frame(matrix(loi_NA_cell_count,nrow=dim(loi_mean)[1])) + colnames(loi_NA_cell_count)<-"NA_cell_count" loi_stats <- data.frame( loi_distwtd_mean, loi_distwtd_sd, loi_mean, loi_sd, @@ -165,25 +244,21 @@ hydroweight_attributes <- function(loi = NULL, ) ## If single RasterLayer - if (raster::nlayers(loi_dist) == 1) { + if (terra::nlyr(loi_dist) == 1) { loi_stats <- as.data.frame(loi_stats) colnames(loi_stats) <- gsub("loi_", "", colnames(loi_stats)) colnames(loi_stats) <- paste(loi_attr_col, colnames(loi_stats), sep = "_") } ## If RasterBrick - if (raster::nlayers(loi_dist) > 1) { + if (terra::nlyr(loi_dist) > 1) { loi_stats$cats <- rownames(loi_stats) - loi_stats_w <- tidyr::pivot_wider(loi_stats, values_from = c( - loi_distwtd_mean, loi_distwtd_sd, loi_mean, loi_sd, - loi_median, loi_min, loi_max, - loi_sum, loi_cell_count, loi_NA_cell_count - ), names_from = "cats") + loi_stats_w <- tidyr::pivot_wider(loi_stats, values_from = c(any_of(colnames(loi_stats))), names_from = "cats") colnames(loi_stats_w) <- gsub("loi_", "", colnames(loi_stats_w)) - (vars_strings <- stringr::str_extract(colnames(loi_stats_w), loi_columns)) - (stats_strings <- stringr::str_replace(colnames(loi_stats_w), paste0("_", loi_columns), "")) - (colnames_strings <- paste(vars_strings, stats_strings, sep = "_")) + vars_strings <- stringr::str_extract(colnames(loi_stats_w), loi_columns) + stats_strings <- stringr::str_replace(colnames(loi_stats_w), paste0("_", loi_columns), "") + colnames_strings <- paste(vars_strings, stats_strings, sep = "_") loi_stats_w <- as.data.frame(loi_stats_w) colnames(loi_stats_w) <- paste(loi_attr_col, colnames_strings, sep = "_") @@ -197,41 +272,54 @@ hydroweight_attributes <- function(loi = NULL, if (loi_numeric == FALSE) { ## Construct brick if "RasterLayer" - if (inherits(loi_r, "RasterLayer")) { - - ## Change all categorical NAs to 987654321; these will be converted back to NA shortly - loi_r[is.na(loi_r)] <- 987654321 + if (inherits(loi_r, "SpatRaster")) { + + if (nlyr(loi_r)>1) { + brick_list<-terra::split(loi_r,names(loi_r)) + names(brick_list)<-names(loi_r) + } else { + brick_list<-loi_r + } + + brick_list<-lapply(names(brick_list),function(y){ + uv <- unlist(terra::unique(brick_list[[y]])) + + out<-lapply(uv,function(x) { + repl<-values(brick_list[[y]]) + repl[repl!=x]<-NA + repl[!is.na(repl)]<-1 + out<-terra::setValues(brick_list[[y]],repl) + names(out)<-paste0(y,"_",x) + return(out) + }) + + nms<-sapply(out,names) + out <- terra::rast(out) + names(out) <- nms + return(out) + }) - (uv <- raster::unique(loi_r, na.last = TRUE)) + loi_r <- terra::rast(brick_list) - brick_list <- lapply(uv, function(x) { - loi_r_ret <- loi_r - loi_r_ret[loi_r_ret@data@values == x] <- 9999 - loi_r_ret[loi_r_ret@data@values != 9999] <- NA - loi_r_ret[loi_r_ret@data@values == 9999] <- 1 + #names(loi_r) <- uv - return(loi_r_ret) - }) - loi_r <- raster::brick(brick_list) - names(loi_r) <- uv - names(loi_r) <- gsub("987654321", "NA", names(loi_r)) } - loi_r_mask <- raster::mask(loi_r, roi_r) - distance_weights_mask <- raster::mask(distance_weights[[ii]], roi_r) + loi_r_mask <- terra::mask(loi_r, roi_r) + distance_weights_mask <- terra::mask(distance_weights[[ii]], roi_r) loi_dist <- loi_r_mask * distance_weights_mask names(loi_dist) <- names(loi_r_mask) - (loi_pct_distwtd <- raster::cellStats(loi_dist, stat = "sum", na.rm = TRUE) / - raster::cellStats(distance_weights_mask, stat = "sum", na.rm = TRUE)) - (names(loi_pct_distwtd) <- names(loi_r_mask)) + loi_pct_distwtd <- unlist(terra::global(loi_dist, fun = "sum", na.rm = TRUE)) / + unlist(terra::global(distance_weights_mask, fun = "sum", na.rm = TRUE)) + names(loi_pct_distwtd) <- names(loi_r_mask) - (loi_stats <- data.frame(t(loi_pct_distwtd))) - (colnames(loi_stats) <- gsub("X", "_", colnames(loi_stats))) - (colnames(loi_stats) <- paste(loi_attr_col, "prop", colnames(loi_stats), sep = "_")) - (colnames(loi_stats) <- gsub("__", "_", colnames(loi_stats))) + loi_stats <- data.frame(t(loi_pct_distwtd)) + colnames(loi_stats) <- gsub("X", "_", colnames(loi_stats)) + colnames(loi_stats) <- paste(loi_attr_col, "prop", colnames(loi_stats), sep = "_") + colnames(loi_stats) <- gsub("__", "_", colnames(loi_stats)) } loi_stats <- data.frame(data.frame(roi_uid = roi_uid), loi_stats) @@ -248,7 +336,7 @@ hydroweight_attributes <- function(loi = NULL, loi_stats <- loi_stats[, c(1, col_return)] } - loi_stats + #loi_stats if (return_products == TRUE) { ret_list <- list(loi_stats, loi_r_mask, distance_weights_mask) @@ -313,7 +401,7 @@ hydroweight_attributes <- function(loi = NULL, ## If return_products == TRUE, remove the attribute table, keep the other parts of the list, and name according to distance_weights if (return_products == TRUE) { attribute_products <- lapply(1:length(distance_weights_attributes), function(ii) { - sub_products <- distance_weights_attributes[[ii]][-1] + sub_products <- lapply(distance_weights_attributes[[ii]][-1],terra::wrap) }) names(attribute_products) <- names(distance_weights) @@ -325,3 +413,4 @@ hydroweight_attributes <- function(loi = NULL, return(return_list) } + diff --git a/README.Rmd b/README.Rmd index 67683d3..d43213f 100644 --- a/README.Rmd +++ b/README.Rmd @@ -3,6 +3,9 @@ title: "hydroweight: Inverse distance-weighted rasters and landscape attributes" output: github_document: pandoc_args: --webtex +editor_options: + markdown: + wrap: 72 --- @@ -18,100 +21,130 @@ knitr::opts_chunk$set( [![DOI](https://zenodo.org/badge/330996075.svg)](https://zenodo.org/badge/latestdoi/330996075) -## Contents -* [1.0 Introduction](#10-introduction) -* [2.0 System setup and installation](#20-system-setup-and-installation) -* [3.0 Inverse distance-weighted rasters using `hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) - + [3.1 Generate toy terrain dataset](#31-generate-toy-terrain-dataset) - + [3.2 Generate targets](#32-generate-targets) - + [3.3 Run `hydroweight()`](#33-run-hydroweight) - + [3.4 Run `hydroweight()` across a set of sites](#34-run-hydroweight-across-a-set-of-sites) - + [3.5 Using `iFLO` output as catchment boundaries for `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) -* [4.0 Inverse distance-weighted rasters using `hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) - + [4.1 Using a numeric raster layer of interest](#41-using-a-numeric-raster-layer-of-interest) - + [4.2 Using a categorical raster layer of interest](#42-using-a-categorical-raster-layer-of-interest) - + [4.3 Using a polygon layer of interest with numeric data in the column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) - + [4.4 Using a polygon layer of interest with categorical data in the column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) -* [5.0 Inverse distance-weighted rasters and attributes across multiple layers and sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) - + [5.1 Run hydroweight across sites](#51-Run-hydroweight-across-sites) - + [5.2 Generate `loi` lists populated with `hydroweight_attributes()` parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) - + [5.3 Run `hydroweight_attributes()` across sites and layers](#53-run-hydroweight_attributes-across-sites-and-layers) - + [5.4 Extract and adjust results data frames](#54-extract-and-adjust-results-data-frames) -* [6.0 Future plans](#60-future-plans) -* [7.0 Acknowledgements](#70-acknowledgements) -* [8.0 References](#80-references) -* [9.0 Copyright](#90-copyright) +## Contents + +- [1.0 Introduction](#10-introduction) +- [2.0 System setup and + installation](#20-system-setup-and-installation) +- [3.0 Inverse distance-weighted rasters using + `hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) + - [3.1 Generate toy terrain + dataset](#31-generate-toy-terrain-dataset) + - [3.2 Generate targets](#32-generate-targets) + - [3.3 Run `hydroweight()`](#33-run-hydroweight) + - [3.4 Run `hydroweight()` across a set of + sites](#34-run-hydroweight-across-a-set-of-sites) + - [3.5 Using `iFLO` output as catchment boundaries for + `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) +- [4.0 Inverse distance-weighted rasters using + `hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) + - [4.1 Using a numeric raster layer of + interest](#41-using-a-numeric-raster-layer-of-interest) + - [4.2 Using a categorical raster layer of + interest](#42-using-a-categorical-raster-layer-of-interest) + - [4.3 Using a polygon layer of interest with numeric data in the + column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) + - [4.4 Using a polygon layer of interest with categorical data in + the + column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) +- [5.0 Inverse distance-weighted rasters and attributes across + multiple layers and + sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) + - [5.1 Run hydroweight across + sites](#51-Run-hydroweight-across-sites) + - [5.2 Generate `loi` lists populated with + `hydroweight_attributes()` + parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) + - [5.3 Run `hydroweight_attributes()` across sites and + layers](#53-run-hydroweight_attributes-across-sites-and-layers) + - [5.4 Extract and adjust results data + frames](#54-extract-and-adjust-results-data-frames) +- [6.0 Future plans](#60-future-plans) +- [7.0 Acknowledgements](#70-acknowledgements) +- [8.0 References](#80-references) +- [9.0 Copyright](#90-copyright) - ## 1.0 Introduction ```{r pressure, echo=FALSE, out.width = '75%', fig.align = 'center'} knitr::include_graphics("man/figures/README-unnamed-chunk-6-1.png") ``` -Environmental scientists often want to calculate landscape statistics within -upstream topographic contributing areas (i.e., catchments) to examine their potential -effects on a target (e.g., stream network point or waterbody). When calculating -landscape statistics like the proportion of upstream urban cover, practitioners -typically use a "lumped" approach; this approach gives equal weighting to areas nearby -and far away from the target (Peterson et al. 2011). - -A more spatially explicit approach could be to generate buffers of successive -distances away from the target and calculate the lumped statistics. For example, -one could calculate the proportion of urban cover in a 250 m buffer and a 1000 m -buffer from the target (Kielstra et al. 2019). - -Another approach is to calculate landscape statistics based on distances to the -target where areas nearby have more weight than those farther away (i.e., inverse -distance-weighting). A set of inverse distance weighting scenarios for stream -survey sites was described in Peterson *et al.* (2011) that included various -types of Euclidean and flow-path distances to targets. Tools are implemented -as *IDW-Plus* in *ArcGIS* (Peterson et al. 2017) as well as in *rdwplus* in *R* -through *GRASS GIS* (Pearse et al. 2019). - -***hydroweight*** replicates the above approaches but also provides a set of simple and -flexible functions to accommodate a wider set of scenarios and statistics -(e.g., numerical and categorical rasters and polygons). It also -uses the speedy WhiteboxTools (Lindsay 2016, Wu 2020). - -There are two functions: - -* `hydroweight()` generates distance-weighted rasters for targets -on a digital elevation model raster. Examples of targets include single points, -areas such as lakes, or linear features such as streams. The function outputs -a list of `length(weighting_scheme)` and an accompanying `*.rds` file -of distance-weighted rasters for targets (`target_O` is a point/area target as -in iFLO and `target_S` is a linear feature target as in iFLS in -Peterson *et al.* 2011). IMPORTANTLY, this function acts on a single set of targets -but can produce multiple weights. The distance-weighted rasters can be used -for generating distance-weighted attributes with `hydroweight_attributes()` (e.g., % urban -cover weighted by flow distance to a point). See `?hydroweight`. - -* `hydroweight_attributes()` calculates distance-weighted attributes using -distance-weighted rasters generated in `hydroweight()`, an attribute layer (`loi`, -e.g., land use raster/polygon), and a region of interest (`roi`, e.g., a catchment -polygon). The function outputs an attribute summary table or a list -that includes the summary table and layers used for calculation. Summary statistics -are calculated as in Peterson *et al.* (2011). IMPORTANTLY, this function only -produces one instance of the `loi` x `distance_weights` summary statistics (i.e., one `loi`, one `roi`, and one set of `distance_weights`). See `?hydroweight_attributes`. - -Workflows are provided below to run these functions across multiple sites and layers. - -Distance weights defined by Peterson *et al.* (2011) are: - -|Distance weight|Definition|Input layers required| -|---------------|----------|---------------------| -|lumped|all weights = 1|`dem`, `target_O`/`target_S`| -|iEucO| weighted inverse Euclidean distance to `target_O` (i.e., stream outlet)|`dem`, `target_O`| -|iEucS| weighted inverse Euclidean distance to `target_S` (i.e., streams)|`dem`, `target_S`| -|iFLO| weighted inverse flow-path distance to `target_O` using d8 flow direction|`dem`, `target_O`| |iFLS| weighted inverse flow-path distance to `target_S` using d8 flow direction|`dem`, `target_S`| |HAiFLO| hydrologically-active (proportional to flow accumulation) weighted inverse flow-path distance to `target_O` using d8 flow direction|`dem`, `target_O`, `accum`| -|HAiFLS| hydrologically-active (proportional to flow accumulation) weighted inverse flow-path distance to `target_S` using d8 flow direction|`dem`, `target_S`, `accum`| +Environmental scientists often want to calculate landscape statistics +within upstream topographic contributing areas (i.e., catchments) to +examine their potential effects on a target (e.g., stream network point +or waterbody). When calculating landscape statistics like the proportion +of upstream urban cover, practitioners typically use a "lumped" +approach; this approach gives equal weighting to areas nearby and far +away from the target (Peterson et al. 2011). + +A more spatially explicit approach could be to generate buffers of +successive distances away from the target and calculate the lumped +statistics. For example, one could calculate the proportion of urban +cover in a 250 m buffer and a 1000 m buffer from the target (Kielstra et +al. 2019). + +Another approach is to calculate landscape statistics based on distances +to the target where areas nearby have more weight than those farther +away (i.e., inverse distance-weighting). A set of inverse distance +weighting scenarios for stream survey sites was described in Peterson +*et al.* (2011) that included various types of Euclidean and flow-path +distances to targets. Tools are implemented as *IDW-Plus* in *ArcGIS* +(Peterson et al. 2017) as well as in *rdwplus* in *R* through *GRASS +GIS* (Pearse et al. 2019). + +***hydroweight*** replicates the above approaches but also provides a +set of simple and flexible functions to accommodate a wider set of +scenarios and statistics (e.g., numerical and categorical rasters and +polygons). It also uses the speedy WhiteboxTools (Lindsay 2016, Wu +2020). + +There are two functions: + +- `hydroweight()` generates distance-weighted rasters for targets on a + digital elevation model raster. Examples of targets include single + points, areas such as lakes, or linear features such as streams. The + function outputs a list of `length(weighting_scheme)` and an + accompanying `*.rds` file of distance-weighted rasters for targets + (`target_O` is a point/area target as in iFLO and `target_S` is a + linear feature target as in iFLS in Peterson *et al.* 2011). + IMPORTANTLY, this function acts on a single set of targets but can + produce multiple weights. The distance-weighted rasters can be used + for generating distance-weighted attributes with + `hydroweight_attributes()` (e.g., % urban cover weighted by flow + distance to a point). See `?hydroweight`. + +- `hydroweight_attributes()` calculates distance-weighted attributes + using distance-weighted rasters generated in `hydroweight()`, an + attribute layer (`loi`, e.g., land use raster/polygon), and a region + of interest (`roi`, e.g., a catchment polygon). The function outputs + an attribute summary table or a list that includes the summary table + and layers used for calculation. Summary statistics are calculated + as in Peterson *et al.* (2011). IMPORTANTLY, this function only + produces one instance of the `loi` x `distance_weights` summary + statistics (i.e., one `loi`, one `roi`, and one set of + `distance_weights`). See `?hydroweight_attributes`. + +Workflows are provided below to run these functions across multiple +sites and layers. + +Distance weights defined by Peterson *et al.* (2011) are: + +| Distance weight | Definition | Input layers required | +|-----------------------|------------------|--------------------------------| +| lumped | all weights = 1 | `dem`, `target_O`/`target_S` | +| iEucO | weighted inverse Euclidean distance to `target_O` (i.e., stream outlet) | `dem`, `target_O` | +| iEucS | weighted inverse Euclidean distance to `target_S` (i.e., streams) | `dem`, `target_S` | +| iFLO | weighted inverse flow-path distance to `target_O` using d8 flow direction | `dem`, `target_O` | +| HAiFLS | hydrologically-active (proportional to flow accumulation) weighted inverse flow-path distance to `target_S` using d8 flow direction | `dem`, `target_S`, `accum` | [Back to top](#contents) ## 2.0 System setup and installation -*WhiteboxTools* and *whitebox* are required for ***hydroweight***. See [whiteboxR](https://github.com/giswqs/whiteboxR) or below for installation. +*WhiteboxTools* and *whitebox* are required for ***hydroweight***. See +[whiteboxR](https://github.com/giswqs/whiteboxR) or below for +installation. ```{r, eval = FALSE} ## Follow instructions for whitebox installation accordingly @@ -150,14 +183,15 @@ devtools::install_github("bkielstr/hydroweight@main") ### 3.1 Generate toy terrain dataset -We begin by bringing in our toy digital elevation model and using it to generate terrain products. +We begin by bringing in our toy digital elevation model and using it to +generate terrain products. ```{r, message = FALSE, error = FALSE, warning = FALSE} ## Load libraries library(dplyr) library(foreach) library(hydroweight) -library(raster) +library(terra) library(sf) library(viridis) library(whitebox) @@ -165,8 +199,8 @@ library(whitebox) ## Import toy_dem from whitebox package toy_file<-sample_dem_data() toy_file <- system.file("extdata", "DEM.tif", package = "whitebox") -toy_dem <- raster(x = toy_file, values = TRUE) -crs(toy_dem) <- "+init=epsg:3161" +toy_dem <- rast(x = toy_file) +crs(toy_dem) <- "epsg:3161" ## Generate hydroweight_dir as a temporary directory hydroweight_dir <- tempdir() @@ -208,16 +242,19 @@ wbt_extract_streams( ### 3.2 Generate toy targets -Next we generate a few targets below. Users can provide their -own vector or raster type targets (see `?hydroweight`). Targets are often -called *pour points* in the literature; here, targets can be a group of raster cells, polygons, polylines, or points. +Next we generate a few targets below. Users can provide their own vector +or raster type targets (see `?hydroweight`). Targets are often called +*pour points* in the literature; here, targets can be a group of raster +cells, polygons, polylines, or points. -Our first target is a low lying area we will call a lake (`tg_O`). -All cells <220 m elevation are assigned `TRUE` or `1` and those >220 m are assigned `NA`. -We also generate its catchment (`tg_O_catchment`) using `whitebox::wbt_watershed()`. -Our target streams (`tg_S`) are loaded from the `whitebox::wbt_extract_streams()` output. -Finally, we do some manipulation to the stream network raster to generate three points along the -stream network (`tg_O_multi`) and their catchments (`tg_O_multi_catchment`). +Our first target is a low lying area we will call a lake (`tg_O`). All +cells \<220 m elevation are assigned `TRUE` or `1` and those \>220 m are +assigned `NA`. We also generate its catchment (`tg_O_catchment`) using +`whitebox::wbt_watershed()`. Our target streams (`tg_S`) are loaded from +the `whitebox::wbt_extract_streams()` output. Finally, we do some +manipulation to the stream network raster to generate three points along +the stream network (`tg_O_multi`) and their catchments +(`tg_O_multi_catchment`). ```{r, fig.width = 5, fig.height = 5, message = FALSE, error = FALSE, warning = FALSE} ## For hydroweight, there are target_O and target_S @@ -226,9 +263,9 @@ stream network (`tg_O_multi`) and their catchments (`tg_O_multi_catchment`). ## Generate target_O, tg_O, representing a lake. tg_O <- toy_dem < 220 -tg_O[tg_O@data@values != 1] <- NA +tg_O[tg_O != 1] <- NA writeRaster(tg_O, file.path(hydroweight_dir, "tg_O.tif"), overwrite = TRUE) -tg_O <- rasterToPolygons(tg_O, dissolve = TRUE) +tg_O <- as.polygons(tg_O, dissolve = TRUE) tg_O <- st_as_sf(tg_O) ## Generate catchment for tg_O @@ -238,16 +275,17 @@ wbt_watershed( output = file.path(hydroweight_dir, "tg_O_catchment.tif") ) -tg_O_catchment <- raster(file.path(hydroweight_dir, "tg_O_catchment.tif")) -tg_O_catchment <- rasterToPolygons(tg_O_catchment, dissolve = TRUE) +tg_O_catchment <- rast(file.path(hydroweight_dir, "tg_O_catchment.tif")) +tg_O_catchment <- as.polygons(tg_O_catchment, dissolve = TRUE) tg_O_catchment <- st_as_sf(tg_O_catchment) +names(tg_O_catchment)[1]<-"Lake" ## Generate target_S, tg_S, representing the stream network -tg_S <- raster(file.path(hydroweight_dir, "toy_dem_streams.tif")) +tg_S <- rast(file.path(hydroweight_dir, "toy_dem_streams.tif")) ## Generate target_O, tg_O, representing several points along stream network, and their catchments -tg_O_multi <- raster(file.path(hydroweight_dir, "toy_dem_streams.tif")) -tg_O_multi <- rasterToPoints(tg_O_multi, spatial = TRUE) +tg_O_multi <- rast(file.path(hydroweight_dir, "toy_dem_streams.tif")) +tg_O_multi <- as.points(tg_O_multi) tg_O_multi <- st_as_sf(tg_O_multi) tg_O_multi <- tg_O_multi[st_coordinates(tg_O_multi)[, 1] < 675000, ] # selects single network tg_O_multi <- tg_O_multi[c(10, 50, 100), ] @@ -269,8 +307,8 @@ tg_O_multi_catchment <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass" ) ## Load catchment and convert to polygon with Site code. - sel_catchment_r <- raster(file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif")) - sel_catchment_r <- rasterToPolygons(sel_catchment_r, dissolve = TRUE) + sel_catchment_r <- rast(file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif")) + sel_catchment_r <- as.polygons(sel_catchment_r, dissolve = TRUE) sel_catchment_r$Site <- sel$Site sel_catchment_r <- st_as_sf(sel_catchment_r) @@ -292,20 +330,25 @@ legend("bottom", legend = c("target_O sites", "target_S"), fill = c("red", "grey ### 3.3 Run `hydroweight()` -Below, `hydroweight()` is run using our lake as `target_O` for iEucO, iFLO, and HAiFLO, -and using our streams as `target_S` for iEucS, iFLS, and HAiFLS. For export of -the distance-weighted rasters, we use "Lake"; the .rds exported from `hydroweight()` -to `hydroweight_dir` will now be called "Lake_inv_distances.rds". Since our DEM -is small, we decide to not clip our region (i.e., `clip_region = NULL`). Using -`OS_combine = TRUE`, we indicate that distances to the nearest water feature will be -either the lake or stream. Furthermore, for HAiFLO or HAiFLS, both the lake and -streams will be set to NoData for their calculation as these represent areas -of concentrated flow rather than areas of direct terrestrial-aquatic interaction -(see Peterson *et al.* 2011). Our `dem` and `flow_accum` are assigned using character strings with the `.tif` files located in `hydroweight_dir`. Weighting schemes and the inverse function are indicated. - -Note that these distance-weighted rasters will eventually be clipped to an `roi` - a region -of interest like a site's catchment - in `hydroweight_attributes()`. The value -for `clipped_region` is really meant to decrease processing time of large rasters. +Below, `hydroweight()` is run using our lake as `target_O` for iEucO, +iFLO, and HAiFLO, and using our streams as `target_S` for iEucS, iFLS, +and HAiFLS. For export of the distance-weighted rasters, we use "Lake"; +the .rds exported from `hydroweight()` to `hydroweight_dir` will now be +called "Lake_inv_distances.rds". Since our DEM is small, we decide to +not clip our region (i.e., `clip_region = NULL`). Using +`OS_combine = TRUE`, we indicate that distances to the nearest water +feature will be either the lake or stream. Furthermore, for HAiFLO or +HAiFLS, both the lake and streams will be set to NoData for their +calculation as these represent areas of concentrated flow rather than +areas of direct terrestrial-aquatic interaction (see Peterson *et al.* +2011). Our `dem` and `flow_accum` are assigned using character strings +with the `.tif` files located in `hydroweight_dir`. Weighting schemes +and the inverse function are indicated. + +Note that these distance-weighted rasters will eventually be clipped to +an `roi` - a region of interest like a site's catchment - in +`hydroweight_attributes()`. The value for `clipped_region` is really +meant to decrease processing time of large rasters. See `?hydroweight` for more details. @@ -338,9 +381,12 @@ hw_test_1 <- hydroweight::hydroweight( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" ), - inv_function = myinv + inv_function = myinv, + clean_tempfiles=F ) +hw_test_1<-lapply(hw_test_1,rast) + ## Resultant structure: # length(hw_test_1) ## 1 set of targets and 7 distance-weighted rasters # hw_test_1[[1]] ## lumped @@ -372,13 +418,20 @@ plot(log(hw_test_1[[7]]), main = "HAiFLS", axes = F, legend = F, box = FALSE, co Important things to note from this plot: -* Lumped is equal weighting where all values = 1. -* iEucO and iEucS distances extend outward to the extent of the DEM. -* For iFLO/HAiFLO/iFLS/HAiFLS, only distances in cells contributing to the areas of interest are included. -* For iFLS/HAiFLS, all regions draining to *any* streams are included (i.e., the streams to the east). These would be removed depending on catchment boundaries of interest when using `hydroweight::hydroweight_attributes()` -* As in Peterson *et al.* (2011), for HAiFLS, the targets are set to NoData (i.e., NA) since they likely represent concentrated flow areas. - -These temporary files are made per instance of `hydroweight::hydroweight()`: +- Lumped is equal weighting where all values = 1. +- iEucO and iEucS distances extend outward to the extent of the DEM. +- For iFLO/HAiFLO/iFLS/HAiFLS, only distances in cells contributing to + the areas of interest are included. +- For iFLS/HAiFLS, all regions draining to *any* streams are included + (i.e., the streams to the east). These would be removed depending on + catchment boundaries of interest when using + `hydroweight::hydroweight_attributes()` +- As in Peterson *et al.* (2011), for HAiFLS, the targets are set to + NoData (i.e., NA) since they likely represent concentrated flow + areas. + +These temporary files are made per instance of +`hydroweight::hydroweight()`: ```{r} list.files(hydroweight_dir)[grep("TEMP-", list.files(hydroweight_dir))] @@ -398,6 +451,8 @@ hw_test_2 <- hydroweight::hydroweight( weighting_scheme = c("lumped", "iEucS", "iFLS", "HAiFLS"), inv_function = myinv ) + +hw_test_2<-lapply(hw_test_2,rast) ## Resultant structure: # length(hw_test_3) ## 1 set of targets and 4 distance-weighted rasters # hw_test_2[[1]] ## lumped @@ -415,6 +470,9 @@ hw_test_3 <- hydroweight::hydroweight( weighting_scheme = c("lumped", "iEucO", "iFLO", "HAiFLO"), inv_function = myinv ) + +hw_test_3<-lapply(hw_test_3,rast) + # length(hw_test_3) ## 1 set of targets and 4 distance-weighted rasters # hw_test_3[[1]] ## lumped # hw_test_3[[2]] ## iEucO @@ -438,6 +496,8 @@ hw_test_4 <- hydroweight::hydroweight( inv_function = myinv ) +hw_test_4<-lapply(hw_test_4,rast) + ## Plot par(mfrow = c(1, 1), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) plot(hw_test_1[[1]], main = "iEucO - 8000 m clip", axes = FALSE, legend = FALSE, box = FALSE, col = viridis(101)) @@ -448,18 +508,21 @@ plot(hw_test_4[[2]], add = TRUE, axes = FALSE, legend = FALSE, box = FALSE, col ### 3.4 Run `hydroweight()` across a set of sites -We wanted users to access intermediate products and also anticipated that -layers and/or errors may be very case-specific. For these reasons, we don't *yet* -provide an all-in-one solution for multiple sites and/or layers of interest but provide workflows instead. +We wanted users to access intermediate products and also anticipated +that layers and/or errors may be very case-specific. For these reasons, +we don't *yet* provide an all-in-one solution for multiple sites and/or +layers of interest but provide workflows instead. -We advocate using `foreach` since it is `lapply`-like but passes along errors to allow for -later fixing. Linking `foreach` with `doParallel` allows for parallel processing. -(e.g., `foreach(...) %dopar%`). We have not tested `whitebox` using parallel -processing. However `hydroweight_attributes()` can be run in parallel. +We advocate using `foreach` since it is `lapply`-like but passes along +errors to allow for later fixing. Linking `foreach` with `doParallel` +allows for parallel processing. (e.g., `foreach(...) %dopar%`). We have +not tested `whitebox` using parallel processing. However +`hydroweight_attributes()` can be run in parallel. -Since `hydroweight()` exports an `.rds` of its result to `hydroweight_dir`, it -allows users to assign the results of `hydroweight()` to an object in the current -environment or to run `hydroweight()` alone and upload the `.rds` afterwards. +Since `hydroweight()` exports an `.rds` of its result to +`hydroweight_dir`, it allows users to assign the results of +`hydroweight()` to an object in the current environment or to run +`hydroweight()` alone and upload the `.rds` afterwards. ```{r, message = TRUE, error = FALSE, warning = FALSE, fig.height = 3.5, fig.width = 7} ## Run hydroweight across sites found in stream points tg_O_multi/tg_O_multi_catchment @@ -485,6 +548,7 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { return(hw_test_xx) } +hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## Resultant structure: ## length(hw_test_5) # 3 sites ## length(hw_test_5[[1]]) # 7 distance-weighted rasters for each site @@ -503,7 +567,8 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { ## Loading up data as if it were not originally assigned to object hw_test_5 inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.rds")) hw_test_5 <- lapply(inv_distance_collect, function(x) { - readRDS(x) + out<-readRDS(x) + lapply(out,rast) }) ## Resultant structure: @@ -533,21 +598,23 @@ plot(hw_test_5[[3]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), [Back to top](#contents) -### 3.5 Using `iFLO` output as catchment boundaries for `hydroweight_attributes()` +### 3.5 Using `iFLO` output as catchment boundaries for `hydroweight_attributes()` -An advantage of using `hydroweight()` is that an iFLO-derived product can be used as a catchment -boundary in subsequent operations. iFLO uses `whitebox::wbt_downslope_distance_to_stream` -that uses a D8 flow-routing algorithm to trace the flow path. -Converting all non-`NA` iFLO distances will yield a catchment boundary analogous to -`whitebox::wbt_watershed()`. However, we have noticed minor inconsistencies when comparing -catchments derived from the two procedures when catchment boundaries fall along DEM edges. -The procedure for deriving the catchment boundary for Site 3 is below. +An advantage of using `hydroweight()` is that an iFLO-derived product +can be used as a catchment boundary in subsequent operations. iFLO uses +`whitebox::wbt_downslope_distance_to_stream` that uses a D8 flow-routing +algorithm to trace the flow path. Converting all non-`NA` iFLO distances +will yield a catchment boundary analogous to +`whitebox::wbt_watershed()`. However, we have noticed minor +inconsistencies when comparing catchments derived from the two +procedures when catchment boundaries fall along DEM edges. The procedure +for deriving the catchment boundary for Site 3 is below. ```{r, message = TRUE, error = FALSE, warning = FALSE, fig.height = 3.5, fig.width = 7} ## Pull out iFLO from Site 3, convert non-NA values to 1, then to polygons, then to sf site3_catchment <- hw_test_5[[3]][["iFLO"]] site3_catchment[!is.na(site3_catchment)] <- 1 -site3_catchment <- rasterToPolygons(site3_catchment, dissolve = T) +site3_catchment <- as.polygons(site3_catchment, dissolve = T) site3_catchment <- st_as_sf(site3_catchment) ## Compare @@ -568,10 +635,16 @@ plot(st_geometry(tg_O_multi_catchment[3, ]), col = adjustcolor("red", alpha.f = ## 4.0 Inverse distance-weighted attributes using `hydroweight_attributes()` -`hydroweight_attributes()` uses `hydroweight()` output and layers of interest (`loi`) to calculate distance-weighted attributes within a region of interest (`roi`). Inputs can be numeric rasters, categorical rasters, and polygon data with either numeric or categorical data in the columns. Internally, all layers are projected to or rasterized to the spatial resolution of the `hydroweight()` output (i.e., the original DEM). +`hydroweight_attributes()` uses `hydroweight()` output and layers of +interest (`loi`) to calculate distance-weighted attributes within a +region of interest (`roi`). Inputs can be numeric rasters, categorical +rasters, and polygon data with either numeric or categorical data in the +columns. Internally, all layers are projected to or rasterized to the +spatial resolution of the `hydroweight()` output (i.e., the original +DEM). -For numeric inputs, the distance-weighted mean and standard deviation for each `roi`:`loi` combination -are calculated using +For numeric inputs, the distance-weighted mean and standard deviation +for each `roi`:`loi` combination are calculated using

@@ -581,30 +654,46 @@ are calculated using

-where $n$ is the number of cells, $w_i$ are the cell weights, and $x_i$ are `loi` cell values, $m$ is the number or non-zero weights, and $\bar{x}^*$ is the weighted mean. For categorical inputs, the proportion for each `roi`:`loi` combination is calculated using +where $n$ is the number of cells, $w_i$ are the cell weights, and $x_i$ +are `loi` cell values, $m$ is the number or non-zero weights, and +$\bar{x}^*$ is the weighted mean. For categorical inputs, the proportion +for each `roi`:`loi` combination is calculated using

-where $I(k_i)=1$ when category $k$ is present in a cell or $I(k_i)=0$ when not. +where $I(k_i)=1$ when category $k$ is present in a cell or $I(k_i)=0$ +when not. -Finally, `loi` `NA` values are handled differently depending on `loi` type. For numeric, `NA` cells are excluded from all calculations. If `cell_count` is specified in `loi_statistics` (see below), count of non-`NA` cells and `NA` cells are returned in the attribute table. For categorical, `NA` cells are considered a category and are included in the calculated proportions. A `prop_NA` column is included in the attribute table. The `lumped_"loi"_prop_NA` would be the true proportion of `NA` cells whereas other columns would be their respective distance-weighted `NA` proportions. This could allow the user to re-calculate proportions using non-`NA` values only. +Finally, `loi` `NA` values are handled differently depending on `loi` +type. For numeric, `NA` cells are excluded from all calculations. If +`cell_count` is specified in `loi_statistics` (see below), count of +non-`NA` cells and `NA` cells are returned in the attribute table. For +categorical, `NA` cells are considered a category and are included in +the calculated proportions. A `prop_NA` column is included in the +attribute table. The `lumped_"loi"_prop_NA` would be the true proportion +of `NA` cells whereas other columns would be their respective +distance-weighted `NA` proportions. This could allow the user to +re-calculate proportions using non-`NA` values only. ### 4.1 Using a numeric raster layer of interest -Using the results of `hydroweight()` (i.e., a list of distance-weighted rasters), we generate -distance-weighted attributes for a single site across the weighting schemes. +Using the results of `hydroweight()` (i.e., a list of distance-weighted +rasters), we generate distance-weighted attributes for a single site +across the weighting schemes. -First, we generate a numeric raster layer of interest `loi = ndvi` and then summarize those cells -falling within the region of interest, `roi = tg_O_catchment`, for each distance-weighted -raster in `tw_test_1` (all weighting schemes, see above). See `?hydroweight_attributes` for -`loi_`- and `roi_`-specific information indicating type of data and how results are returned. +First, we generate a numeric raster layer of interest `loi = ndvi` and +then summarize those cells falling within the region of interest, +`roi = tg_O_catchment`, for each distance-weighted raster in `tw_test_1` +(all weighting schemes, see above). See `?hydroweight_attributes` for +`loi_`- and `roi_`-specific information indicating type of data and how +results are returned. ```{r, fig.width = 6, fig.height = 6, message = FALSE, error = FALSE, warning = FALSE} ## Construct continuous dataset ndvi <- toy_dem -values(ndvi) <- runif(n = (ndvi@ncols * ndvi@nrows), min = 0, max = 1) +values(ndvi) <- runif(n = (dim(ndvi)[1] * dim(ndvi)[2]), min = 0, max = 1) names(ndvi) <- "ndvi" hwa_test_numeric <- hydroweight_attributes( @@ -621,6 +710,8 @@ hwa_test_numeric <- hydroweight_attributes( ) names(hwa_test_numeric$attribute_table) +hwa_test_numeric$return_products<-lapply(hwa_test_numeric$return_products,function(x) lapply(x,rast)) + ## Resultant structure ## length(hw_test_numeric) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters ## hw_test_numeric[[1]] == hw_test_numeric$attribute_table # Attribute table @@ -672,10 +763,12 @@ plot(hwa_test_numeric$return_products$iFLS$`loi_Raster*_bounded` * hwa_test_nume ### 4.2 Using a categorical raster layer of interest -Here, we generate a categorical raster layer of interest `loi = lulc` and then summarize those cells -falling within the region of interest, `roi = tg_O_catchment`, for each distance-weighted -raster in `tw_test_1` (all weighting schemes, see above). See `?hydroweight_attributes` for -`loi_`- and `roi_`-specific information indicating type of data and how results are returned. +Here, we generate a categorical raster layer of interest `loi = lulc` +and then summarize those cells falling within the region of interest, +`roi = tg_O_catchment`, for each distance-weighted raster in `tw_test_1` +(all weighting schemes, see above). See `?hydroweight_attributes` for +`loi_`- and `roi_`-specific information indicating type of data and how +results are returned. ```{r, fig.width=6, fig.height=6, message = FALSE, error = FALSE, warning = FALSE} ## Construct categorical dataset by reclassify elevation values into categories @@ -683,7 +776,7 @@ raster in `tw_test_1` (all weighting schemes, see above). See `?hydroweight_attr lulc <- toy_dem m <- c(0, 220, 1, 220, 300, 2, 300, 400, 3, 400, Inf, 4) rclmat <- matrix(m, ncol = 3, byrow = TRUE) -lulc <- reclassify(lulc, rclmat) +lulc <- classify(lulc, rclmat) ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc hwa_test_categorical <- hydroweight_attributes( @@ -699,6 +792,8 @@ hwa_test_categorical <- hydroweight_attributes( ) names(hwa_test_categorical$attribute_table) +hwa_test_categorical$return_products<-lapply(hwa_test_categorical$return_products,function(x) lapply(x,rast)) + ## Resultant structure ## length(hw_test_categorical) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters ## hw_test_categorical[[1]] == hw_test_categorical$attribute_table # Attribute table @@ -795,20 +890,23 @@ axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ### 4.3 Using a polygon layer of interest with numeric data in the column -Here, we use `lulc` and polygonize the raster to `lulc_p`. We then generate some numeric data in the polygon -layer called `var_1` and `var_2`. We then spatially summarize the numeric data in those -two columns using `hydroweight_attributes()`. +Here, we use `lulc` and polygonize the raster to `lulc_p`. We then +generate some numeric data in the polygon layer called `var_1` and +`var_2`. We then spatially summarize the numeric data in those two +columns using `hydroweight_attributes()`. -Internally, the `lulc` polygons are rasterized using `distance_weights` as the template. -This basically treats the columns as if they were individual numeric raster layers. -Landscape statistics are calculated accordingly (e.g., distance-weighted mean). -Those cells falling within the region of interest, `roi = tg_O_catchment`, for each distance-weighted -raster in `tw_test_1` (all weighting schemes, see above). See `?hydroweight_attributes` for -`loi_`- and `roi_`-specific information indicating type of data and how results are returned. +Internally, the `lulc` polygons are rasterized using `distance_weights` +as the template. This basically treats the columns as if they were +individual numeric raster layers. Landscape statistics are calculated +accordingly (e.g., distance-weighted mean). Those cells falling within +the region of interest, `roi = tg_O_catchment`, for each +distance-weighted raster in `tw_test_1` (all weighting schemes, see +above). See `?hydroweight_attributes` for `loi_`- and `roi_`-specific +information indicating type of data and how results are returned. ```{r, fig.height = 7, fig.width = 14, message = FALSE, error = FALSE} ## Construct polygons with numeric data by converting lulc to polygons and assigning values to columns -lulc_p <- rasterToPolygons(lulc, dissolve = T, na.rm = T) +lulc_p <- as.polygons(lulc, dissolve = T, na.rm = T) lulc_p <- st_as_sf(lulc_p) set.seed(123) @@ -831,6 +929,7 @@ hwa_test_numeric_polygon <- hydroweight_attributes( return_products = TRUE ) names(hwa_test_numeric_polygon$attribute_table) +hwa_test_numeric_polygon$return_products<-lapply(hwa_test_numeric_polygon$return_products,function(x) lapply(x,rast)) ## Resultant structure ## length(hw_test_numeric_polygon) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -849,13 +948,14 @@ names(hwa_test_numeric_polygon$attribute_table) ### 4.4 Using a polygon layer of interest with categorical data in the column -Here, we continue to use `lulc_p` but specify `loi_numeric = FALSE` indicating -the data are categorical rather than numeric. Note the final number in the column -names of the summary table is the "category" that was summarized. +Here, we continue to use `lulc_p` but specify `loi_numeric = FALSE` +indicating the data are categorical rather than numeric. Note the final +number in the column names of the summary table is the "category" that +was summarized. ```{r, message = FALSE, error = FALSE} ## Construct polygons with categorical data by converting lulc to polygons and assigning values to columns -lulc_p <- rasterToPolygons(lulc, dissolve = T, na.rm = T) +lulc_p <- as.polygons(lulc, dissolve = T, na.rm = T) lulc_p <- st_as_sf(lulc_p) set.seed(123) @@ -895,16 +995,18 @@ names(hwa_test_categorical_polygon$attribute_table) ## 5.0 Inverse distance-weighted rasters and attributes across multiple sites and layers -Now that we are familiar with the results structure of `hydroweight()` and -`hydroweight_attributes()`, we use our stream points to demonstrate how to chain -an analysis together across sites, distances weights, and layers of interest. +Now that we are familiar with the results structure of `hydroweight()` +and `hydroweight_attributes()`, we use our stream points to demonstrate +how to chain an analysis together across sites, distances weights, and +layers of interest. The basic chain looks like this this: -* For each site: Run `hydroweight()` - + For each layer of interest: Run `hydroweight_attributes()` - -Here, we try to make the code easier to troubleshoot rather than make it look pretty: +- For each site: Run `hydroweight()` + - For each layer of interest: Run `hydroweight_attributes()` + +Here, we try to make the code easier to troubleshoot rather than make it +look pretty: ### 5.1 Run `hydroweight()` across sites @@ -1037,7 +1139,7 @@ names(sites_attributes_products[[1]][[1]]$return_products) ## Return products fo ### 5.4 Extract and adjust results data frames -```{r, warning = FALSE, error = FALSE, message = FALSE} +```{r, warning = FALSE, error = FALSE, message = FALSE} sites_attributes_list <- foreach(xx = 1:length(sites_attributes_products), .errorhandling = "pass") %do% { ## Selects an individual site @@ -1066,57 +1168,79 @@ sites_attributes_df[, grep("prop", colnames(sites_attributes_df))][is.na(sites_a colnames(sites_attributes_df) ``` -Now - like any good environmental scientist - you have more variables and/or metrics than sites. +Now - like any good environmental scientist - you have more variables +and/or metrics than sites. [Back to top](#contents) ## 6.0 Future plans -This package was implemented to mostly serve our purposes and is functional enough. -There is probably lots of room for improvement that we don't see yet. +This package was implemented to mostly serve our purposes and is +functional enough. There is probably lots of room for improvement that +we don't see yet. The core functions should stay the same but we would like to: -1. Optimize for speed based on user/my own feedback. -2. Potentially use less in-memory `raster` functions in favour of `WhiteboxTools` functions. -3. Work on moving multi-site/multi-layer capability into their own functions based on feedback. -4. Implement tidier data handling and results structures. -5. ... as things come up. +1. Optimize for speed based on user/my own feedback. +2. Potentially use less in-memory `raster` functions in favour of + `WhiteboxTools` functions. +3. Work on moving multi-site/multi-layer capability into their own + functions based on feedback. +4. Implement tidier data handling and results structures. +5. ... as things come up. [Back to top](#contents) -## 7.0 Acknowledgements +## 7.0 Acknowledgements -Thank you to for early review/testing (alphabetical order): +Thank you to for early review/testing (alphabetical order): Darren McCormick, Courtney Mondoux, Emily Smenderovac -We acknowledge the funding support of Natural Resources Canada, the Ontario Ministry of Natural Resources, -and a Natural Sciences and Engineering Research Council of Canada Strategic Partnership Grant (STPGP 521405-2018). +We acknowledge the funding support of Natural Resources Canada, the +Ontario Ministry of Natural Resources, and a Natural Sciences and +Engineering Research Council of Canada Strategic Partnership Grant +(STPGP 521405-2018). [Back to top](#contents) ## 8.0 References -Kielstra, B. W., Chau, J., & Richardson, J. S. (2019). Measuring function and structure of urban headwater streams with citizen scientists. Ecosphere, 10(4):e02720. https://doi.org/10.1002/ecs2.2720 +Kielstra, B. W., Chau, J., & Richardson, J. S. (2019). Measuring +function and structure of urban headwater streams with citizen +scientists. Ecosphere, 10(4):e02720. -Lindsay, J.B. (2016). Whitebox GAT: A case study in geomorphometric analysis. Computers & Geosciences, 95: 75-84. https://doi.org/10.1016/j.cageo.2016.07.003 +Lindsay, J.B. (2016). Whitebox GAT: A case study in geomorphometric +analysis. Computers & Geosciences, 95: 75-84. + -Peterson, E. E., Sheldon, F., Darnell, R., Bunn, S. E., & Harch, B. D. (2011). A comparison of spatially explicit landscape representation methods and their relationship to stream condition. Freshwater Biology, 56(3), 590–610. https://doi.org/10.1111/j.1365-2427.2010.02507.x +Peterson, E. E., Sheldon, F., Darnell, R., Bunn, S. E., & Harch, B. D. +(2011). A comparison of spatially explicit landscape representation +methods and their relationship to stream condition. Freshwater Biology, +56(3), 590–610. -Peterson, E. E. & Pearse, A. R. (2017). IDW‐Plus: An ArcGIS Toolset for calculating spatially explicit watershed attributes for survey sites. -Journal of the American Water Resources Association, 53(5): 1241–1249. https://doi.org/10.1111/1752-1688.12558 +Peterson, E. E. & Pearse, A. R. (2017). IDW‐Plus: An ArcGIS Toolset for +calculating spatially explicit watershed attributes for survey sites. +Journal of the American Water Resources Association, 53(5): 1241–1249. + -Pearse, A., Heron, G., & Peterson, E. (2019). rdwplus: An Implementation of IDW-PLUS. R package version 0.1.0. https://CRAN.R-project.org/package=rdwplus +Pearse, A., Heron, G., & Peterson, E. (2019). rdwplus: An Implementation +of IDW-PLUS. R package version 0.1.0. + -R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ +R Core Team (2021). R: A language and environment for statistical +computing. R Foundation for Statistical Computing, Vienna, Austria. + -Wickham, H., Bryan, J. (2021). R Packages. 2nd edition. https://r-pkgs.org/. +Wickham, H., Bryan, J. (2021). R Packages. 2nd edition. +. -Wu, Q. (2020). whitebox: 'WhiteboxTools' R Frontend. R package version 1.4.0. https://github.com/giswqs/whiteboxR +Wu, Q. (2020). whitebox: 'WhiteboxTools' R Frontend. R package version +1.4.0. [Back to top](#contents) -## 9.0 Copyright +## 9.0 Copyright -Copyright (C) 2021 Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada +Copyright (C) 2021 Her Majesty the Queen in Right of Canada, as +represented by the Minister of Natural Resources Canada diff --git a/man/figures/README-unnamed-chunk-11-1.png b/man/figures/README-unnamed-chunk-11-1.png index 8c765ffd1b04a96bf4fd83992c78cb8b62052f85..683342745646c493c0bfd9acc0242cce79124891 100644 GIT binary patch literal 169790 zcmd42WmH_f7e3mS0>#~7uu>>mihFS=PH`JxaCaM|xLaGKxH}9E#T{DQoq@rfK?lFQ zzqS6~?}vNWy&tm9N=|Z;v$LO_ot-C-rh=;Y|HUcJJSmy=R|_3F)+|I)iRuU@@6 zKq#BMJkXrvbX{M)!tVVqy&iNdF?;oj=9RpZxQ188(W+M=8^qRGN1|G*%9I_uyCJxNpVJ#^1drek+d4 ztw7rq^zzE$<6E7V;tAH!R~Rq(v_f3t|EkpyzG3~ZU9!Y?alrR=JRPJi5OOC z9!YlU;Lvp3;S&cA!@IQnm*1^^R&2j@R7q=zZ+~b(19u*C;InRNpPB!!6J%*FMit72 z8v|&`U#@81Yv1)XuAqQNx6L*dhex4ey1^{&K<{Dg$9~HH+7$k;jWrkJHK}L+j6auF 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z!k?vY;LTY8vYLqJj57}#-kFBq_LF49!**tNi8Fl5#%W2B9`m4G;^i0(9O7m}3=Ase zPmZnrRo_5zZv@4|gw&&Wr~H=~W1dgAN4`Ux^NuDN5~J23If4j@FLxdOG)&oxK!X-Q z{ypEGqH>b0OX#u10lHxm3*%Y(SZ?KfUmM3V3+`R!;J)+ztBjw_EOl0?5#3Alxw3 zTGard9Ox?#HFY_mGAZV>V35}VaX<_x;?@iFuSJ6#N=*^KU-KTzrI$GFZVt3= z(*fpaoxRPk8m!Qy=nX}g;j%EB_Sy;^p$0*s=v7j9$IV1{{krdU4p5JjCvDqPi&z#I z6H0mbFwFfx5;$+U@Pn9XT!<`|kY&C2Oj@WiC=hTskqiXR6sjO&Z%k1_J(8cyY)>sz zlOV}N{DtDI7?5}wX4U|yvZ4<8AJqp0QNUdvrRv}E!<|HyM773>zGLu$niBoWLfg{K#y;jwikeEB60s;-mdw7xc0Mo1scEqMjY^bn(*JXKm#44 KyH#3GUi~j4VR&T# diff --git a/man/hydroweight.Rd b/man/hydroweight.Rd index 7845640..4397380 100644 --- a/man/hydroweight.Rd +++ b/man/hydroweight.Rd @@ -14,7 +14,10 @@ hydroweight( dem = NULL, flow_accum = NULL, weighting_scheme = NULL, - inv_function = function(x) { (x * 0.001 + 1)^-1 } + inv_function = function(x) { + (x * 0.001 + 1)^-1 + }, + clean_tempfiles = T ) } \arguments{ @@ -36,10 +39,12 @@ hydroweight( \item{weighting_scheme}{character. One or more weighting schemes: c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS")} -\item{inv_function}{function. Inverse function used in \code{raster::calc()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km.} +\item{inv_function}{function or named list of functions based on \code{weighting_scheme} names. Inverse function used in \code{terra::app()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km.} + +\item{clean_tempfiles}{logical. Should temporary files be removed?} } \value{ -A named list of distance-weighted rasters and accompanying \code{*.rds} in \code{hydroweight_dir} +Named list of distance-weighted rasters and accompanying \code{*.rds} in \code{hydroweight_dir} } \description{ \code{hydroweight::hydroweight()} generates distance-weighted rasters for targets @@ -47,7 +52,7 @@ on a digital elevation model raster. Examples of targets include single points, areas such as lakes, or linear features such as streams. The function outputs a list of \code{length(weighting_scheme)} and an accompanying \code{*.rds} file of distance-weighted rasters for targets (\code{target_O} is a point/area target as -in iFLO and \code{target_S} is a stream/waterbody target as in iFLS in +in iFLO and \code{target_S} is a stream/linear feature target as in iFLS in Peterson et al. 2011 \url{https://doi:10.1111/j.1365-2427.2010.02507.x}). IMPORTANTLY, this function acts on a single set of targets but can produce multiple weights. The distance-weighted rasters, can be used for generating @@ -57,7 +62,7 @@ cover weighted by flow distance to a point). See https://github.com/bkielstr/hyd \details{ Spatial layers should align (i.e., identical coordinate reference systems - CRS). Through processing, targets are converted to the resolution and CRS of the -digital elevation model/flow accumulation CRS. TEMP-* files are generated in +digital elevation model/flow accumulation CRS. _TEMP-* files are generated in \code{hydroweight_dir} depending on processing step and can be overwritten. For \code{weighting_scheme}: diff --git a/man/hydroweight_attributes.Rd b/man/hydroweight_attributes.Rd index a6e9cdb..be466d4 100644 --- a/man/hydroweight_attributes.Rd +++ b/man/hydroweight_attributes.Rd @@ -5,21 +5,21 @@ \title{Generate inverse distance-weighted attributes} \usage{ hydroweight_attributes( - loi = NULL, + loi, loi_attr_col = NULL, loi_columns = NULL, loi_numeric = NULL, loi_numeric_stats = NULL, - roi = NULL, - roi_uid = NULL, - roi_uid_col = NULL, - distance_weights = NULL, + roi, + roi_uid, + roi_uid_col, + distance_weights, remove_region = NULL, return_products = TRUE ) } \arguments{ -\item{loi}{\code{sf} or \code{RasterLayer}. Layer of interest (e.g., land use layer).} +\item{loi}{character (with extension, e.g., "lu.shp"), \code{sf} or \code{RasterLayer}. Layer of interest (e.g., land use layer).} \item{loi_attr_col}{character. A name that will precede the calculated attributes (e.g., loi_mean, loi_median etc.)} @@ -29,13 +29,13 @@ hydroweight_attributes( \item{loi_numeric_stats}{character. One or more of c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"). Those without distwtd_ are simple "lumped" statistics.} -\item{roi}{\code{sf} or \code{RasterLayer}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes.} +\item{roi}{character (with extension, e.g., "roi.shp"), \code{sf} or \code{RasterLayer}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes.} \item{roi_uid}{character. Unique identifier value for the roi.} \item{roi_uid_col}{character. Column name that will be assigned to the roi_uid.} -\item{distance_weights}{\code{list}. The distance-weighted rasters output from \code{hydroweight}.} +\item{distance_weights}{character (with extension, e.g., "idw.rds"), \code{list}. The distance-weighted rasters output from \code{hydroweight}.} \item{remove_region}{\code{sf} or \code{RasterLayer}. Regions to remove when summarizing the attributes (e.g., remove lake from catchment)} From ef2806d53907043095c6b1e1c84a891fac7e0887 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 18 Jul 2022 14:58:55 -0400 Subject: [PATCH 32/85] Added support for packaged rasters and vectors --- R/hydroweight_attributes.R | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index fba7d79..599f739 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -53,6 +53,12 @@ hydroweight_attributes <- function(loi, if (inherits(loi,"RasterLayer")){ loi<-terra::rast(loi) } + if (inherits(loi,"PackedSpatRaster")){ + loi<-terra::rast(loi) + } + if (inherits(loi,"PackedSpatVector")){ + loi<-terra::vect(loi) + } if (inherits(loi,"sf")){ loi<-terra::vect(loi) } @@ -69,6 +75,12 @@ hydroweight_attributes <- function(loi, if (inherits(roi,"RasterLayer")){ roi<-terra::rast(roi) } + if (inherits(roi,"PackedSpatRaster")){ + roi<-terra::rast(roi) + } + if (inherits(roi,"PackedSpatVector")){ + roi<-terra::vect(roi) + } if (inherits(roi,"sf")){ roi<-terra::vect(roi) } @@ -89,6 +101,12 @@ hydroweight_attributes <- function(loi, if (inherits(remove_region,"RasterLayer")){ remove_region<-terra::rast(remove_region) } + if (inherits(remove_region,"PackedSpatRaster")){ + remove_region<-terra::rast(remove_region) + } + if (inherits(remove_region,"PackedSpatVector")){ + remove_region<-terra::vect(remove_region) + } if (inherits(remove_region,"sf")){ remove_region<-terra::vect(remove_region) } From 31f47c9e2bc5745aba8817b767b414ed037b19cf Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 18 Jul 2022 16:22:43 -0400 Subject: [PATCH 33/85] minor fix --- R/hydroweight_attributes.R | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 599f739..2eff1db 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -38,8 +38,7 @@ hydroweight_attributes <- function(loi, remove_region=NULL, return_products = TRUE) { - hydroweight_dir<-tempdir() - if (!dir.exists(hydroweight_dir)) dir.create(hydroweight_dir) + if (!dir.exists(hydroweight_dir)) dir.create(tempdir()) if (inherits(loi,"character")){ if (grepl("\\.shp$",loi)) { @@ -138,7 +137,7 @@ hydroweight_attributes <- function(loi, y = distance_weights[[1]], method = loi_resample, overwrite = TRUE, - filename=file.path(paste0(tempfile(),".tif")) + filename=file.path(paste0(tempfile(),"_TEMP.tif")) ) } @@ -188,7 +187,7 @@ hydroweight_attributes <- function(loi, y = distance_weights[[1]], method = loi_resample, overwrite = TRUE, - filename=file.path(paste0(tempfile(),".tif")) + filename=file.path(paste0(tempfile(),"_TEMP.tif")) ) } @@ -292,7 +291,7 @@ hydroweight_attributes <- function(loi, ## Construct brick if "RasterLayer" if (inherits(loi_r, "SpatRaster")) { - if (nlyr(loi_r)>1) { + if (terra::nlyr(loi_r)>1) { brick_list<-terra::split(loi_r,names(loi_r)) names(brick_list)<-names(loi_r) } else { @@ -429,6 +428,8 @@ hydroweight_attributes <- function(loi, return_list <- attribute_frames_return } + file.remove(list.files(tempdir(),pattern="_TEMP.tif")) + return(return_list) } From d59eda9abe4fd8c0091a8ed26f4110417d0b31cf Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 18 Jul 2022 16:28:05 -0400 Subject: [PATCH 34/85] finor fix --- R/hydroweight_attributes.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 2eff1db..35c3d69 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -38,7 +38,7 @@ hydroweight_attributes <- function(loi, remove_region=NULL, return_products = TRUE) { - if (!dir.exists(hydroweight_dir)) dir.create(tempdir()) + if (!dir.exists(tempdir())) dir.create(tempdir()) if (inherits(loi,"character")){ if (grepl("\\.shp$",loi)) { From ce25d955c2f17b68d7f39259100f4c416b1e68ad Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 18 Jul 2022 16:33:21 -0400 Subject: [PATCH 35/85] minor fix --- R/hydroweight_attributes.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 35c3d69..15d0b68 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -302,7 +302,7 @@ hydroweight_attributes <- function(loi, uv <- unlist(terra::unique(brick_list[[y]])) out<-lapply(uv,function(x) { - repl<-values(brick_list[[y]]) + repl<-terra::values(brick_list[[y]]) repl[repl!=x]<-NA repl[!is.na(repl)]<-1 out<-terra::setValues(brick_list[[y]],repl) From 38c6329439ceacb1bd69dfa20a2a53a71fe23680 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Tue, 19 Jul 2022 13:01:22 -0400 Subject: [PATCH 36/85] changed output of hydroweight to .zip --- R/hydroweight.R | 25 ++++++++++++++++++++----- R/hydroweight_attributes.R | 7 ++++++- README.Rmd | 4 ++-- 3 files changed, 28 insertions(+), 8 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 57535bb..b79663b 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -783,12 +783,27 @@ hydroweight <- function(hydroweight_dir = NULL, }) names(dist_list) <- weighting_scheme - dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 + dist_list_out<-lapply(dist_list,function(x) { + terra::writeRaster(x,file.path(hydroweight_dir,paste0(names(x),".tif")),overwrite=T) + return(file.path(hydroweight_dir,paste0(names(x),".tif"))) + }) + + out_file<-file.path(hydroweight_dir,paste0(target_uid, "_inv_distances.zip")) + if (file.exists(out_file)) { + out_file<-file.path(hydroweight_dir,paste0(target_uid,"_",basename(tempfile()), "_inv_distances.zip")) + warning(paste0("Target .zip file already exists. Saving as: ",out_file)) + } + zip(out_file, + unlist(dist_list_out), + flags = '-r9Xj' + ) + + dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 -- this is too slow for large rasters - saveRDS(dist_list, file = file.path( - hydroweight_dir, - paste0(target_uid, "_inv_distances.rds") - )) + # saveRDS(dist_list, file = file.path( + # hydroweight_dir, + # paste0(target_uid, "_inv_distances.rds") + # )) ## CLEAN UP ---- if (clean_tempfiles){ diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 15d0b68..410f49b 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -114,7 +114,12 @@ hydroweight_attributes <- function(loi, if (grepl("\\.rds$",distance_weights)) { distance_weights<-readRDS(distance_weights) } else { - stop("'distance_weights' must be specified as .rds file") + if (grepl("\\.zip$",distance_weights)) { + fls<-unzip(distance_weights,list=T) + fls<-file.path("/vsizip",distance_weights,fls$Name) + distance_weights<-lapply(fls,terra::rast) + names(distance_weights)<-sapply(distance_weights,names) + } else stop("'distance_weights' must be specified as .rds or .zip file") } } diff --git a/README.Rmd b/README.Rmd index d43213f..23ea105 100644 --- a/README.Rmd +++ b/README.Rmd @@ -368,7 +368,7 @@ text(6, 0.8, expression("(Distance + 1)"^-1), cex = 0.75) ```{r, fig.width = 6, fig.height = 4, message = TRUE, error = FALSE, warning = FALSE } ## Run hydroweight::hydroweight() -hw_test_1 <- hydroweight::hydroweight( +hw_test_1 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_S = tg_S, @@ -385,7 +385,7 @@ hw_test_1 <- hydroweight::hydroweight( clean_tempfiles=F ) -hw_test_1<-lapply(hw_test_1,rast) +# hw_test_1<-lapply(hw_test_1,rast) ## Resultant structure: # length(hw_test_1) ## 1 set of targets and 7 distance-weighted rasters From ad0cc82666d42abf0d427a2f5552b396a100ff77 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Tue, 19 Jul 2022 14:57:21 -0400 Subject: [PATCH 37/85] fix to zip filenames --- R/hydroweight.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index b79663b..cecf824 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -784,7 +784,7 @@ hydroweight <- function(hydroweight_dir = NULL, names(dist_list) <- weighting_scheme dist_list_out<-lapply(dist_list,function(x) { - terra::writeRaster(x,file.path(hydroweight_dir,paste0(names(x),".tif")),overwrite=T) + terra::writeRaster(x,file.path(hydroweight_dir,target_uid,"_",paste0(names(x),".tif")),overwrite=T) return(file.path(hydroweight_dir,paste0(names(x),".tif"))) }) From 69c55ca9357586eee007cc06c019d27ee8e4f331 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Tue, 19 Jul 2022 16:07:24 -0400 Subject: [PATCH 38/85] update to zip file storage --- R/hydroweight.R | 11 ++- README.Rmd | 241 ++++++++++++++++++++++++------------------------ 2 files changed, 130 insertions(+), 122 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index cecf824..2bb33ca 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -784,8 +784,11 @@ hydroweight <- function(hydroweight_dir = NULL, names(dist_list) <- weighting_scheme dist_list_out<-lapply(dist_list,function(x) { - terra::writeRaster(x,file.path(hydroweight_dir,target_uid,"_",paste0(names(x),".tif")),overwrite=T) - return(file.path(hydroweight_dir,paste0(names(x),".tif"))) + fl<-file.path(tempdir(),basename(tempfile())) + dir.create(fl) + fl<-file.path(fl,paste0(paste0(names(x),".tif"))) + terra::writeRaster(x,fl,overwrite=T) + return(fl) }) out_file<-file.path(hydroweight_dir,paste0(target_uid, "_inv_distances.zip")) @@ -795,7 +798,7 @@ hydroweight <- function(hydroweight_dir = NULL, } zip(out_file, unlist(dist_list_out), - flags = '-r9Xj' + flags = '-r9Xjq' ) dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 -- this is too slow for large rasters @@ -814,6 +817,8 @@ hydroweight <- function(hydroweight_dir = NULL, temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_TEMP-"), full.names = TRUE) file.remove(temp_rasters) + + file.remove(unlist(dist_list_out)) } return(dist_list) diff --git a/README.Rmd b/README.Rmd index 23ea105..b6f3f62 100644 --- a/README.Rmd +++ b/README.Rmd @@ -25,40 +25,40 @@ knitr::opts_chunk$set( - [1.0 Introduction](#10-introduction) - [2.0 System setup and - installation](#20-system-setup-and-installation) +installation](#20-system-setup-and-installation) - [3.0 Inverse distance-weighted rasters using - `hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) - - [3.1 Generate toy terrain - dataset](#31-generate-toy-terrain-dataset) - - [3.2 Generate targets](#32-generate-targets) - - [3.3 Run `hydroweight()`](#33-run-hydroweight) - - [3.4 Run `hydroweight()` across a set of - sites](#34-run-hydroweight-across-a-set-of-sites) - - [3.5 Using `iFLO` output as catchment boundaries for - `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) +`hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) +- [3.1 Generate toy terrain +dataset](#31-generate-toy-terrain-dataset) +- [3.2 Generate targets](#32-generate-targets) +- [3.3 Run `hydroweight()`](#33-run-hydroweight) +- [3.4 Run `hydroweight()` across a set of +sites](#34-run-hydroweight-across-a-set-of-sites) +- [3.5 Using `iFLO` output as catchment boundaries for +`hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) - [4.0 Inverse distance-weighted rasters using - `hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) - - [4.1 Using a numeric raster layer of - interest](#41-using-a-numeric-raster-layer-of-interest) - - [4.2 Using a categorical raster layer of - interest](#42-using-a-categorical-raster-layer-of-interest) - - [4.3 Using a polygon layer of interest with numeric data in the - column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) - - [4.4 Using a polygon layer of interest with categorical data in - the - column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) +`hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) +- [4.1 Using a numeric raster layer of +interest](#41-using-a-numeric-raster-layer-of-interest) +- [4.2 Using a categorical raster layer of +interest](#42-using-a-categorical-raster-layer-of-interest) +- [4.3 Using a polygon layer of interest with numeric data in the +column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) +- [4.4 Using a polygon layer of interest with categorical data in +the +column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) - [5.0 Inverse distance-weighted rasters and attributes across - multiple layers and - sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) - - [5.1 Run hydroweight across - sites](#51-Run-hydroweight-across-sites) - - [5.2 Generate `loi` lists populated with - `hydroweight_attributes()` - parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) - - [5.3 Run `hydroweight_attributes()` across sites and - layers](#53-run-hydroweight_attributes-across-sites-and-layers) - - [5.4 Extract and adjust results data - frames](#54-extract-and-adjust-results-data-frames) +multiple layers and +sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) +- [5.1 Run hydroweight across +sites](#51-Run-hydroweight-across-sites) +- [5.2 Generate `loi` lists populated with +`hydroweight_attributes()` +parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) +- [5.3 Run `hydroweight_attributes()` across sites and +layers](#53-run-hydroweight_attributes-across-sites-and-layers) +- [5.4 Extract and adjust results data +frames](#54-extract-and-adjust-results-data-frames) - [6.0 Future plans](#60-future-plans) - [7.0 Acknowledgements](#70-acknowledgements) - [8.0 References](#80-references) @@ -102,28 +102,28 @@ polygons). It also uses the speedy WhiteboxTools (Lindsay 2016, Wu There are two functions: - `hydroweight()` generates distance-weighted rasters for targets on a - digital elevation model raster. Examples of targets include single - points, areas such as lakes, or linear features such as streams. The - function outputs a list of `length(weighting_scheme)` and an - accompanying `*.rds` file of distance-weighted rasters for targets - (`target_O` is a point/area target as in iFLO and `target_S` is a - linear feature target as in iFLS in Peterson *et al.* 2011). - IMPORTANTLY, this function acts on a single set of targets but can - produce multiple weights. The distance-weighted rasters can be used - for generating distance-weighted attributes with - `hydroweight_attributes()` (e.g., % urban cover weighted by flow - distance to a point). See `?hydroweight`. +digital elevation model raster. Examples of targets include single +points, areas such as lakes, or linear features such as streams. The +function outputs a list of `length(weighting_scheme)` and an +accompanying `*.rds` file of distance-weighted rasters for targets +(`target_O` is a point/area target as in iFLO and `target_S` is a +linear feature target as in iFLS in Peterson *et al.* 2011). +IMPORTANTLY, this function acts on a single set of targets but can +produce multiple weights. The distance-weighted rasters can be used +for generating distance-weighted attributes with +`hydroweight_attributes()` (e.g., % urban cover weighted by flow +distance to a point). See `?hydroweight`. - `hydroweight_attributes()` calculates distance-weighted attributes - using distance-weighted rasters generated in `hydroweight()`, an - attribute layer (`loi`, e.g., land use raster/polygon), and a region - of interest (`roi`, e.g., a catchment polygon). The function outputs - an attribute summary table or a list that includes the summary table - and layers used for calculation. Summary statistics are calculated - as in Peterson *et al.* (2011). IMPORTANTLY, this function only - produces one instance of the `loi` x `distance_weights` summary - statistics (i.e., one `loi`, one `roi`, and one set of - `distance_weights`). See `?hydroweight_attributes`. +using distance-weighted rasters generated in `hydroweight()`, an +attribute layer (`loi`, e.g., land use raster/polygon), and a region +of interest (`roi`, e.g., a catchment polygon). The function outputs +an attribute summary table or a list that includes the summary table +and layers used for calculation. Summary statistics are calculated +as in Peterson *et al.* (2011). IMPORTANTLY, this function only +produces one instance of the `loi` x `distance_weights` summary +statistics (i.e., one `loi`, one `roi`, and one set of +`distance_weights`). See `?hydroweight_attributes`. Workflows are provided below to run these functions across multiple sites and layers. @@ -292,26 +292,26 @@ tg_O_multi <- tg_O_multi[c(10, 50, 100), ] tg_O_multi$Site <- c(1, 2, 3) tg_O_multi_catchment <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - + ## Take individual stream point and write to file sel <- tg_O_multi[xx, ] st_write(sel, file.path(hydroweight_dir, "tg_O_multi_single.shp"), - delete_layer = TRUE, quiet = TRUE + delete_layer = TRUE, quiet = TRUE ) - + ## Run watershed operation on stream point wbt_watershed( d8_pntr = file.path(hydroweight_dir, "toy_dem_breached_d8.tif"), pour_pts = file.path(hydroweight_dir, "tg_O_multi_single.shp"), output = file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif") ) - + ## Load catchment and convert to polygon with Site code. sel_catchment_r <- rast(file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif")) sel_catchment_r <- as.polygons(sel_catchment_r, dissolve = TRUE) sel_catchment_r$Site <- sel$Site sel_catchment_r <- st_as_sf(sel_catchment_r) - + return(sel_catchment_r) } tg_O_multi_catchment <- bind_rows(tg_O_multi_catchment) @@ -385,7 +385,7 @@ hw_test_1 <- hydroweight( clean_tempfiles=F ) -# hw_test_1<-lapply(hw_test_1,rast) +hw_test_1<-lapply(hw_test_1,rast) ## Resultant structure: # length(hw_test_1) ## 1 set of targets and 7 distance-weighted rasters @@ -421,14 +421,14 @@ Important things to note from this plot: - Lumped is equal weighting where all values = 1. - iEucO and iEucS distances extend outward to the extent of the DEM. - For iFLO/HAiFLO/iFLS/HAiFLS, only distances in cells contributing to - the areas of interest are included. +the areas of interest are included. - For iFLS/HAiFLS, all regions draining to *any* streams are included - (i.e., the streams to the east). These would be removed depending on - catchment boundaries of interest when using - `hydroweight::hydroweight_attributes()` +(i.e., the streams to the east). These would be removed depending on +catchment boundaries of interest when using +`hydroweight::hydroweight_attributes()` - As in Peterson *et al.* (2011), for HAiFLS, the targets are set to - NoData (i.e., NA) since they likely represent concentrated flow - areas. +NoData (i.e., NA) since they likely represent concentrated flow +areas. These temporary files are made per instance of `hydroweight::hydroweight()`: @@ -528,7 +528,7 @@ Since `hydroweight()` exports an `.rds` of its result to ## Run hydroweight across sites found in stream points tg_O_multi/tg_O_multi_catchment hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { message("Running hydroweight for site ", xx, " at ", Sys.time()) - + hw_test_xx <- hydroweight::hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O_multi[xx, ], ## Important to change @@ -544,7 +544,7 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { ), inv_function = myinv ) - + return(hw_test_xx) } @@ -565,10 +565,13 @@ hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## hw_test_5[[3]][[7]] # site 3, HAiFLS ## Loading up data as if it were not originally assigned to object hw_test_5 -inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.rds")) -hw_test_5 <- lapply(inv_distance_collect, function(x) { - out<-readRDS(x) - lapply(out,rast) +inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.zip")) +inv_distance_collect <- lapply(inv_distance_collect, function(x) { + fls<-unzip(x,list=T) + fls<-file.path("/vsizip",x,fls$Name) + x<-lapply(fls,terra::rast) + names(x)<-sapply(x,names) + return(x) }) ## Resultant structure: @@ -620,12 +623,12 @@ site3_catchment <- st_as_sf(site3_catchment) ## Compare par(mfrow = c(1, 3)) plot(st_geometry(tg_O_multi_catchment[3, ]), - col = adjustcolor("blue", alpha.f = 0.5), - main = "Site 3 catchment \n wbt_watershed-derived" + col = adjustcolor("blue", alpha.f = 0.5), + main = "Site 3 catchment \n wbt_watershed-derived" ) plot(st_geometry(site3_catchment), - col = adjustcolor("red", alpha.f = 0.5), - main = "Site 3 catchment \n hydroweight-derived" + col = adjustcolor("red", alpha.f = 0.5), + main = "Site 3 catchment \n hydroweight-derived" ) plot(st_geometry(site3_catchment), col = adjustcolor("blue", alpha.f = 0.5), main = "Overlap") plot(st_geometry(tg_O_multi_catchment[3, ]), col = adjustcolor("red", alpha.f = 0.5), main = "Overlap", add = T) @@ -647,11 +650,11 @@ For numeric inputs, the distance-weighted mean and standard deviation for each `roi`:`loi` combination are calculated using

- +

- +

where $n$ is the number of cells, $w_i$ are the cell weights, and $x_i$ @@ -660,7 +663,7 @@ $\bar{x}^*$ is the weighted mean. For categorical inputs, the proportion for each `roi`:`loi` combination is calculated using

- +

where $I(k_i)=1$ when category $k$ is present in a cell or $I(k_i)=0$ @@ -704,7 +707,7 @@ hwa_test_numeric <- hydroweight_attributes( roi = tg_O_catchment, roi_uid = "1", roi_uid_col = "Lake", - distance_weights = hw_test_1, + distance_weights = file.path(hydroweight_dir,"Lake_inv_distances.zip"),#hw_test_1, remove_region = tg_O, return_products = TRUE ) @@ -731,8 +734,8 @@ plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add plot(st_geometry(tg_O), col = "red", add = T) plot(tg_S, col = "blue", add = T, legend = FALSE) legend("bottom", - legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), - fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 + legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), + fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 ) ``` @@ -813,8 +816,8 @@ plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add plot(tg_O, col = "red", add = T, legend = FALSE) plot(tg_S, col = "blue", add = T, legend = FALSE) legend("bottom", - legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), - fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 + legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), + fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 ) ``` @@ -825,64 +828,64 @@ par(mfrow = c(3, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0), cex = 0.75) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped") plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE + axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 4)") plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[4]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 3)") plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[3]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 2)") plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[2]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO") plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE + axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 4)") plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[4]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 3)") plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[3]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 2)") plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[2]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) ## iFLO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO") plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE + axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 4)") plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[4]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 3)") plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[3]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 2)") plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[2]], + axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) ``` @@ -1003,7 +1006,7 @@ layers of interest. The basic chain looks like this this: - For each site: Run `hydroweight()` - - For each layer of interest: Run `hydroweight_attributes()` +- For each layer of interest: Run `hydroweight_attributes()` Here, we try to make the code easier to troubleshoot rather than make it look pretty: @@ -1016,14 +1019,14 @@ look pretty: # tg_O_multi_catchment ## catchments sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - + ## Distance-weighted raster component message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") - + ## Select individual sites and catchments sel <- tg_O_multi[xx, ] sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) - + ## Run hydroweight site_weights <- hydroweight::hydroweight( hydroweight_dir = hydroweight_dir, @@ -1096,10 +1099,10 @@ loi_variable <- list(loi_ndvi, loi_lulc, loi_lulc_p_n, loi_lulc_p_c) ```{r, warning = FALSE, error = FALSE, message = FALSE} sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - + ## Distance-weighted raster component message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") - + ## Select individual sites, catchments, and weights sel <- tg_O_multi[xx, ] sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) @@ -1114,19 +1117,19 @@ sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = " roi_uid = sel$Site, roi_uid_col = "Site" ) - + ## For each loi, sel_layers_hwa <- foreach(yy = 1:length(loi_variable), .errorhandling = "pass") %do% { - + ## Combine loi_variable[[y]] with loi_consist loi_combined <- c(loi_variable[[yy]], loi_consist) - + ## Run hydroweight_attributes using arguments in loi_combined loi_output <- do.call(hydroweight::hydroweight_attributes, loi_combined) - + return(loi_output) } - + return(sel_layers_hwa) } @@ -1141,18 +1144,18 @@ names(sites_attributes_products[[1]][[1]]$return_products) ## Return products fo ```{r, warning = FALSE, error = FALSE, message = FALSE} sites_attributes_list <- foreach(xx = 1:length(sites_attributes_products), .errorhandling = "pass") %do% { - + ## Selects an individual site sel_site <- sites_attributes_products[[xx]] - + ## Selects distance-weighted raster results set site_stats <- foreach(yy = 1:length(sel_site), .errorhandling = "pass") %do% { sel_site[[yy]]$attribute_table } - + ## Merges the distance-weighted raster-specific datasets site_stats <- Reduce(merge, site_stats) - + return(site_stats) } @@ -1183,9 +1186,9 @@ The core functions should stay the same but we would like to: 1. Optimize for speed based on user/my own feedback. 2. Potentially use less in-memory `raster` functions in favour of - `WhiteboxTools` functions. +`WhiteboxTools` functions. 3. Work on moving multi-site/multi-layer capability into their own - functions based on feedback. +functions based on feedback. 4. Implement tidier data handling and results structures. 5. ... as things come up. From f3b8c3fb3b7c8884544e0ab5480d64920e9eed59 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 21 Jul 2022 06:30:48 -0400 Subject: [PATCH 39/85] nearly done vsrion 2 commit --- NAMESPACE | 1 + R/hydroweight.R | 523 ++++++----------------- R/hydroweight_attributes.R | 509 +++++++--------------- R/hydroweight_uitility.R | 184 ++++++++ README.Rmd | 116 +++-- man/figures/README-unnamed-chunk-7-1.png | Bin 6704 -> 5006 bytes man/figures/README-unnamed-chunk-8-1.png | Bin 5023 -> 10710 bytes man/figures/README-unnamed-chunk-9-1.png | Bin 10710 -> 4076 bytes man/hydroweight.Rd | 16 +- man/hydroweight_attributes.Rd | 17 +- man/process_input.Rd | 19 + 11 files changed, 565 insertions(+), 820 deletions(-) create mode 100644 R/hydroweight_uitility.R create mode 100644 man/process_input.Rd diff --git a/NAMESPACE b/NAMESPACE index 43c6a9a..a52cf0b 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -2,3 +2,4 @@ export(hydroweight) export(hydroweight_attributes) +export(process_input) diff --git a/R/hydroweight.R b/R/hydroweight.R index 2bb33ca..48fe5ac 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -14,7 +14,7 @@ #' #' Spatial layers should align (i.e., identical coordinate reference systems - CRS). #' Through processing, targets are converted to the resolution and CRS of the -#' digital elevation model/flow accumulation CRS. _TEMP-* files are generated in +#' digital elevation model/flow accumulation CRS. _TEMP_* files are generated in #' \code{hydroweight_dir} depending on processing step and can be overwritten. #' #' For \code{weighting_scheme}: @@ -33,18 +33,18 @@ #' #' "HAiFLS" indicates d8 hydrologically-active (proportional to flow accumulation) flow-path distance to \code{target_S} #' -#' @param hydroweight_dir character. File path for read/write. -#' @param target_O \code{sf}, \code{RasterLayer}, or character (with extension, e.g., "target.shp") of file found in \code{hydroweight_dir} of ESRI Shapefile type or GeoTiFF type only. Target for iEucO or iFLO. -#' @param target_S \code{sf}, \code{RasterLayer}, or character (with extension, e.g., "target.shp") of file found in \code{hydroweight_dir} of ESRI Shapefile type or GeoTiFF type only. Target for iEucS or iFLS. +#' @param hydroweight_dir character. File path to write resulting .zip file. +#' @param target_O character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/sample_point.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Target for iEucO or iFLO. +#' @param target_S character (ffull file path with extension, e.g., "C:/Users/Administrator/Desktop/stream_lines.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Target for iEucS or iFLS. #' @param target_uid character. Unique identifier to precede exported list \code{*.rds} (i.e., "target_uid"_inv_distances.rds) #' @param OS_combine logical. Should target_O and target_S be merged as targets for iEucS, iFLS, and/or HAiFLS? Use \code{TRUE} or \code{FALSE}. This allows cells surrounding \code{target_O} to flow directly into \code{target_O} rather than be forced through \code{target_S}. -#' @param clip_region numeric, \code{sf}, \code{RasterLayer}, or character (with extension, e.g., "clip_region.shp") of file found in \code{hydroweight_dir} of ESRI Shapefile type or GeoTiFF type only. Region over which distances are calculated. If numeric, \code{sf::sf_buffer()} produces a default buffer of crs-specific numeric width around \code{target_O}, exports, then clips using \code{whitebox}; if \code{sf}, exports and clips using \code{whitebox}; and if character, loads the file, converts to \code{sf}, exports, and clips using \code{whitebox}. -#' @param dem character (with extension, e.g., "dem.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Digital elevation model raster. -#' @param flow_accum character (with extension, e.g., "flow_accum.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Flow accumulation raster (units: # of cells). +#' @param clip_region character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Region over which distances are calculated. and if character, loads the file, converts to \code{sf}, exports, and clips using \code{whitebox}. +#' @param dem character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/dem.tif"), \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of GeoTiFF type. Digital elevation model raster. +#' @param flow_accum character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/flow_accum.tif"), \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of GeoTiFF type. Flow accumulation raster (units: # of cells). #' @param weighting_scheme character. One or more weighting schemes: c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS") #' @param inv_function function or named list of functions based on \code{weighting_scheme} names. Inverse function used in \code{terra::app()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km. #' @param clean_tempfiles logical. Should temporary files be removed? -#' @return Named list of distance-weighted rasters and accompanying \code{*.rds} in \code{hydroweight_dir} +#' @return Named list of \code{PackedSpatRaster} distance-weighted rasters and accompanying \code{*.zip} in \code{hydroweight_dir} #' @export #' hydroweight <- function(hydroweight_dir = NULL, @@ -60,11 +60,10 @@ hydroweight <- function(hydroweight_dir = NULL, (x * 0.001 + 1)^-1 }, clean_tempfiles=T) { - # TODO: Add checks to make sure all raster inputs are SpatRaster NOT RasterLayer - # TODO: class(___)[1] should be changed to inherits() + require(terra) - if (is.null(target_uid)) stop("target_uid must be specified") - ## SET UP ---- + own_tempdir<-tempfile() + if (!dir.exists(own_tempdir)) dir.create(own_tempdir) ## Set up raster temp file for out-of-memory raster files terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile())), verbose=F) @@ -73,339 +72,112 @@ hydroweight <- function(hydroweight_dir = NULL, ## Set whitebox verbose_mode to FALSE whitebox::wbt_options(verbose = FALSE) - ## PREPARE HYDROWEIGHT LAYERS ---- - - message("Preparing hydroweight layers @ ", Sys.time()) - - (dem_r <- terra::rast(file.path(hydroweight_dir, dem))) - - if (is.na(terra::crs(dem_r)) | is.null(terra::crs(dem_r))) { - stop("dem crs() is NULL or NA. Apply projection before continuing") - } - - (dem_crs <- terra::crs(dem_r)) - - ## Prepare clip_region ---- - clip_region_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")) - if (!is.null(clip_region)) { - if (class(clip_region)[1] == "numeric" & class(target_O)[1] == "sf") { - clip_region <- sf::st_buffer(target_O, clip_region) - sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE - ) - } - - if (class(clip_region)[1] == "sf") { - sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE - ) - } - - if (class(clip_region)[1] == "character") { - if (!grepl(".shp", clip_region) & !grepl(".tif", clip_region)) { - stop("If clip_region is character, target_O should be a .shp or .tif") - } - - if (grepl(".shp", clip_region)) { - clip_region <- sf::st_read(file.path(hydroweight_dir, clip_region)) - sf::st_write(clip_region, clip_region_path,append = FALSE, quiet = TRUE - ) - } else if (grepl(".tif", clip_region)) { - #clip_region <- terra::rast(file.path(hydroweight_dir, clip_region)) - - #if (is.na(terra::crs(clip_region)) | is.null(terra::crs(clip_region))) { - # stop("clip_region crs() is NULL or NA. Apply projection before continuing") - #} - - whitebox::wbt_reclass( - input = file.path(hydroweight_dir, clip_region), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - reclass_vals = "1,min,max" - ) - - whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - output = clip_region_path - ) - - clip_region <- sf::st_read(clip_region_path, quiet = TRUE) - sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE) - } - } - - - } - - if (is.null(clip_region)) { - - whitebox::wbt_reclass( - input = file.path(hydroweight_dir, dem), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - reclass_vals = "1,min,1000000", # because max sometimes misses max values? - verbose_mode = FALSE - ) - - whitebox::wbt_raster_to_vector_polygons( - input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.tif")), - output = clip_region_path, - verbose_mode = FALSE - ) - - clip_region <- sf::st_read(clip_region_path, quiet = TRUE) - sf::st_crs(clip_region) <- sf::st_crs(dem_crs) - sf::st_write(clip_region, clip_region_path, append = FALSE, quiet = TRUE) - - # clip_region <- terra::rast(file.path(hydroweight_dir, dem)) - # clip_region[!is.na(clip_region)] <- 1 - # clip_region <- terra::rastToPolygons(clip_region, dissolve = TRUE) - # clip_region <- sf::st_as_sf(clip_region) - # sf::st_write(clip_region, file.path(hydroweight_dir, "_TEMP-clip_region.shp"), - # append = FALSE, quiet = TRUE - # ) - } - - dem_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")) - - - dem_clip<-terra::crop( - x=terra::rast(file.path(hydroweight_dir, dem)), - y=terra::vect(clip_region_path) - ) - - dem_clip<-terra::mask( - x=dem_clip, - mask=terra::vect(clip_region_path), - touches=T - ) - - terra::crs(dem_clip)<-dem_crs - terra::writeRaster(dem_clip, - dem_clip_path, - overwrite=T) - # whitebox::wbt_clip_raster_to_polygon( #PS I think is is very slow for large rasters - # input = file.path(hydroweight_dir, dem), - # polygons = clip_region_path, - # output = dem_clip_path, - # verbose_mode = FALSE - # ) - - - dem_clip <- terra::rast(dem_clip_path) - terra::crs(dem_clip) <- dem_crs - - ## Prepare target_O ---- - - ## If sf, write to .shp - if (class(target_O)[1] == "sf") { - sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O.shp")), - append = FALSE, quiet = TRUE - ) - } - - ## If character, check if .shp or .tif, stop if not, then notify. - ## If character and .shp or .tif, load and write to .shp - if (class(target_O)[1] == "character") { - if (!grepl(".shp", target_O) & !grepl(".tif", target_O)) { - stop("If target_O is character, target_O should be a .shp or .tif") - } - - if (grepl(".shp", target_O)) { - target_O <- sf::st_read(file.path(hydroweight_dir, target_O)) - sf::st_write(target_O, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O.shp")), - append = FALSE, quiet = TRUE - ) - } else if (grepl(".tif", target_O)) { - target_O <- terra::rast(file.path(hydroweight_dir, target_O)) - } - } - - ## write target_O and adjust to clip_region if sf - if (class(target_O)[1] == "sf") { - if (any(sf::st_is(target_O, c("POLYGON", "MULTIPOLYGON")))) { - target_O_r <- terra::rasterize(x=terra::vect(target_O), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - field = 1, - overwrite = TRUE - ) - } - - if (any(sf::st_is(target_O, c("LINESTRING", "MULTILINESTRING")))) { - dem_clip_extent <- sf::st_as_sfc(sf::st_bbox(terra::ext(dem_clip))) - sf::st_crs(dem_clip_extent) <- sf::st_crs(dem_clip) - - target_O_int <- sf::st_intersects(target_O, dem_clip_extent) - target_O_int <- target_O[lengths(target_O_int) > 0, ] - - target_O_r <- terra::rasterize(terra::vect(target_O_int), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - field = 1, - overwrite = TRUE - ) - } - - if (sf::st_is(target_O, "POINT")) { - target_O_r <- terra::rasterize(sf::st_coordinates(target_O), - y = dem_clip, - # field = 1, # this isn't needed in terra - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - overwrite = TRUE - ) - } - } - - ## write target_O and adjust to clip_region if RasterLayer - if (class(target_O)[1] %in% c("SpatRaster","RasterLayer")) { - if (class(target_O)[1] %in% c("RasterLayer")) target_O_r <- terra::rast(target_O) - if (class(target_O)[1] %in% c("SpatRaster")) target_O_r <- target_O - - target_O_r <- terra::project(target_O_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip1.tif"))) - terra::writeRaster(target_O_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - overwrite = TRUE - ) - } - - ## Prepare target_S ---- - - ## If sf, write to .shp - if (class(target_S)[1] == "sf") { - sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S.shp")), - append = FALSE, quiet = TRUE - ) - } - - ## If character, check if .shp or .tif, stop if not, then notify. - ## If character and .shp or .tif, load and write to .shp - if (class(target_S)[1] == "character") { - if (!grepl(".shp", target_S) & !grepl(".tif", target_S)) { - stop("If target_S is character, target_S should be a .shp or .tif") - } - - if (grepl(".shp", target_S)) { - target_S <- sf::st_read(file.path(hydroweight_dir, target_S)) - sf::st_write(target_S, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S.shp")), - append = FALSE, quiet = TRUE - ) - } else if (grepl(".tif", target_S)) { - target_S <- terra::rast(file.path(hydroweight_dir, target_S)) - } - } - - ## write target_S and adjust to clip_region if sf - if (class(target_S)[1] == "sf") { - if (any(sf::st_is(target_S, c("POLYGON", "MULTIPOLYGON")))) { - target_S_r <- terra::rasterize(sf::as_Spatial(target_S), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - field = 1, - overwrite = TRUE - ) - } - - if (any(sf::st_is(target_S, c("LINESTRING", "MULTILINESTRING")))) { - dem_clip_extent <- sf::st_as_sfc(sf::st_bbox(terra::ext(dem_clip))) - sf::st_crs(dem_clip_extent) <- sf::st_crs(dem_crs) - - target_S_int <- sf::st_intersects(target_S, dem_clip_extent) - target_S_int <- target_S[lengths(target_S_int) > 0, ] - - target_S_r <- terra::rasterize(sf::as_Spatial(target_S_int), - y = dem_clip, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - field = 1, - overwrite = TRUE - ) - } - - if (sf::st_is(target_S, "POINT")) { - target_S_r <- terra::rasterize(sf::st_coordinates(target_S), - y = dem_clip, - field = 1, - filename = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - overwrite = TRUE - ) - } - } - - ## write target_S and adjust to clip_region if RasterLayer - if (class(target_S)[1] %in% c("SpatRaster","RasterLayer")) { - if (class(target_S)[1] %in% c("RasterLayer")) target_S_r <- terra::rast(target_S) - if (class(target_S)[1] %in% c("SpatRaster")) target_S_r <- target_S - target_S_r <- terra::project(target_S_r, dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip1.tif"))) - terra::writeRaster(target_S_r, file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - overwrite = TRUE - ) - } + if (is.null(target_uid)) stop("target_uid must be specified") - ## Prepare OS_combine ---- + # Process DEM Input ---------------------------------------------------------- + dem<-process_input(input = dem,input_name="dem") + dem_crs<-terra::crs(dem) + + # Process clip_region Input -------------------------------------------------- + clip_region<-process_input(input = clip_region, + target = dem, + clip_region = dem, + input_name="clip_region") + + dem<-process_input(input = dem, + target = dem, + clip_region=clip_region, + resample_type="bilinear", + input_name="dem") + + # Process flow_accum Input --------------------------------------------------- + flow_accum<-process_input(input = flow_accum, + target = dem, + clip_region=clip_region, + resample_type = "bilinear", + input_name="flow_accum") + + # Process target_O Input ----------------------------------------------------- + target_O<-process_input(input = target_O, + target = dem, + clip_region=clip_region, + input_name="target_O") + target_O<-target_O[[1]] + + # Process target_S Input ----------------------------------------------------- + target_S<-process_input(input = target_S, + target = dem, + clip_region=clip_region, + input_name="target_S") + target_S<-target_S[[1]] + + + # Setup OS combined ------------------------------------------------------- if (is.null(OS_combine)) { OS_combine <- FALSE } if (OS_combine == TRUE) { - (target_S_OS <- target_S_r) - (target_O_OS <- target_O_r) + (target_S_OS <- target_S) + (target_O_OS <- target_O) target_S_OS[target_S_OS > 0] <- 1 target_O_OS[target_O_OS > 0] <- 1 - # mosaic_list$x <- terra::rast(list(target_O_OS, target_S_OS)) - # mosaic_list$fun <- sum - # mosaic_list$na.rm <- TRUE - OS_combine_r <- terra::mosaic(x=terra::sprc(list(target_O_OS, target_S_OS)), fun="sum") OS_combine_r[OS_combine_r > 0] <- 1 OS_combine_r[OS_combine_r == 0] <- NA - - terra::crs(OS_combine_r) <- dem_crs - terra::writeRaster(OS_combine_r, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), - overwrite = TRUE, gdal = c("COMPRESS=NONE"), - NAflag = -9999 - ) + } else { + OS_combine_r<-NULL } - ## RUN DISTANCE-WEIGHTING ---- + rast_list<-list( + dem, + flow_accum, + clip_region, + target_O, + target_S, + OS_combine_r + ) - message("Running distance-weighting @ ", Sys.time()) + names(rast_list)<-c( + paste0(target_uid,"_TEMP_dem_clip.tif"), + paste0(target_uid,"_TEMP_flow_accum_clip.tif"), + paste0(target_uid,"_TEMP_clip_region.tif"), + paste0(target_uid,"_TEMP_target_O_clip.tif"), + paste0(target_uid,"_TEMP_target_S_clip.tif"), + paste0(target_uid,"_TEMP_OS_combine.tif") - if ("lumped" %in% weighting_scheme) { - # whitebox::wbt_reclass( - # input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - # output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif")), - # reclass_vals = "1,min,1000000" - # ) # because max sometimes misses max values? + ) + + + # Write temporary rasters ------------------------------------------------- + for (i in names(rast_list)){ + if (!is.null(rast_list[[i]])){ + writeRaster(rast_list[[i]],file.path(own_tempdir,i),overwrite=T) + } + } - # lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-lumped.tif"))) - # terra::crs(lumped_inv) <- dem_crs - # lumped_inv <- terra::setValues(terra::rast(lumped_inv), lumped_inv[]) - lumped_inv <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif"))) + if ("lumped" %in% weighting_scheme) { + lumped_inv <- dem lumped_inv[!is.na(lumped_inv)]<-1 + terra::writeRaster(lumped_inv,file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")),overwrite=T) } ## iEucO, Euclidean distance to target_O ---- if ("iEucO" %in% weighting_scheme) { - # whitebox::wbt_reclass( - # input = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - # output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), - # reclass_vals = "1,min,1000000" - # ) # because max sometimes misses max values? - - lumped_inv <- dem_clip - lumped_inv[!is.na(lumped_inv)]<-1 - terra::writeRaster(lumped_inv,file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")),overwrite=T) whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - cost = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), - out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), - out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), + source = file.path(own_tempdir, paste0(target_uid,"_TEMP_target_O_clip.tif")), + cost = file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), + out_accum = file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_distance.tif")), + out_backlink = file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_backlink.tif")), verbose_mode = FALSE ) - iEucO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + iEucO <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_distance.tif"))) terra::crs(iEucO) <- dem_crs if(is.list(inv_function)){ @@ -420,7 +192,6 @@ hydroweight <- function(hydroweight_dir = NULL, } - } else { iEucO_inv <- terra::app(iEucO, fun = inv_function) @@ -429,7 +200,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucO_inv) <- dem_crs terra::writeRaster(iEucO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucO.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_iEucO.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -439,14 +210,14 @@ hydroweight <- function(hydroweight_dir = NULL, if ("iEucS" %in% weighting_scheme) { if (OS_combine == FALSE) { whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - cost = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), - out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), - out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), + source = file.path(own_tempdir, paste0(target_uid,"_TEMP_target_S_clip.tif")), + cost = file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), + out_accum = file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_distance.tif")), + out_backlink = file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_backlink.tif")), verbose_mode = FALSE ) - iEucS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + iEucS <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_distance.tif"))) terra::crs(iEucS) <- dem_crs if(is.list(inv_function)){ @@ -470,7 +241,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucS_inv) <- dem_crs terra::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_iEucS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -478,14 +249,14 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { whitebox::wbt_cost_distance( - source = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), - cost = file.path(hydroweight_dir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), - out_accum = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif")), - out_backlink = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_backlink.tif")), + source = file.path(own_tempdir, paste0(target_uid,"_TEMP_OS_combine.tif")), + cost = file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")), + out_accum = file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_distance.tif")), + out_backlink = file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_backlink.tif")), verbose_mode = FALSE ) - iEucS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-cost_distance.tif"))) + iEucS <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_cost_distance.tif"))) terra::crs(iEucS) <- dem_crs if(is.list(inv_function)){ @@ -509,7 +280,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iEucS_inv) <- dem_crs terra::writeRaster(iEucS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iEucS.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_iEucS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -519,13 +290,13 @@ hydroweight <- function(hydroweight_dir = NULL, ## iFLO, flow line distance to target_O ---- if ("iFLO" %in% weighting_scheme | "HAiFLO" %in% weighting_scheme) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - streams = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_O_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif")), + dem = file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip.tif")), + streams = file.path(own_tempdir, paste0(target_uid,"_TEMP_target_O_clip.tif")), + output = file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLO.tif")), verbose_mode = FALSE ) - iFLO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + iFLO <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLO.tif"))) terra::crs(iFLO) <- dem_crs if(is.list(inv_function)){ @@ -549,7 +320,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLO_inv) <- dem_crs terra::writeRaster(iFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLO.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_iFLO.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -559,13 +330,13 @@ hydroweight <- function(hydroweight_dir = NULL, if ("iFLS" %in% weighting_scheme | "HAiFLS" %in% weighting_scheme) { if (OS_combine == FALSE) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - streams = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-target_S_clip.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif")), + dem = file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip.tif")), + streams = file.path(own_tempdir, paste0(target_uid,"_TEMP_target_S_clip.tif")), + output = file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLS.tif")), verbose_mode = FALSE ) - iFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + iFLS <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLS.tif"))) terra::crs(iFLS) <- dem_crs if(is.list(inv_function)){ @@ -589,7 +360,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLS_inv) <- dem_crs terra::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_iFLS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -597,13 +368,13 @@ hydroweight <- function(hydroweight_dir = NULL, if (OS_combine == TRUE) { whitebox::wbt_downslope_distance_to_stream( - dem = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-dem_clip.tif")), - streams = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-OS_combine.tif")), - output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif")), + dem = file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip.tif")), + streams = file.path(own_tempdir, paste0(target_uid,"_TEMP_OS_combine.tif")), + output = file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLS.tif")), verbose_mode = FALSE ) - iFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + iFLS <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLS.tif"))) terra::crs(iFLS) <- dem_crs if(is.list(inv_function)){ @@ -627,7 +398,7 @@ hydroweight <- function(hydroweight_dir = NULL, terra::crs(iFLS_inv) <- dem_crs terra::writeRaster(iFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-iFLS.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_iFLS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -641,36 +412,9 @@ hydroweight <- function(hydroweight_dir = NULL, stop("`flow_accum` required for HAiFLO and/or HAiFLS calculations") } - flow_accum_clip_path<-file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")) - - - flow_accum_clip<-terra::crop( - x=terra::rast(file.path(hydroweight_dir, flow_accum)), - y=terra::vect(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp"))) - ) - terra::crs(flow_accum_clip)<-dem_crs - flow_accum_clip<-terra::project(flow_accum_clip,dem_clip, method = "near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip1.tif"))) - terra::writeRaster(flow_accum_clip, - flow_accum_clip_path, - overwrite=T) - - - # whitebox::wbt_clip_raster_to_polygon( #PS I think this is slower than terra - # input = file.path(hydroweight_dir, flow_accum), - # polygons = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-clip_region.shp")), - # output = file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif")), - # verbose_mode = FALSE - # ) - - accum_clip <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flow_accum_clip.tif"))) - # accum_clip <- accum_clip + 1 # PS: I don't know if this is necessary anymore - terra::crs(accum_clip) <- dem_crs - - accum_clip<-terra::project(accum_clip,dem_clip,method="near",overwrite = TRUE,filename=file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO1.tif"))) - if ("HAiFLO" %in% weighting_scheme) { - HAiFLO <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLO.tif"))) + HAiFLO <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLO.tif"))) terra::crs(HAiFLO) <- dem_crs if(is.list(inv_function)){ @@ -692,11 +436,11 @@ hydroweight <- function(hydroweight_dir = NULL, } - HAiFLO_inv <- HAiFLO_inv * accum_clip + HAiFLO_inv <- HAiFLO_inv * flow_accum terra::crs(HAiFLO_inv) <- dem_crs terra::writeRaster(HAiFLO_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLO.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_HAiFLO.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -705,7 +449,7 @@ hydroweight <- function(hydroweight_dir = NULL, if ("HAiFLS" %in% weighting_scheme) { if (OS_combine == TRUE) { - HAiFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + HAiFLS <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLS.tif"))) terra::crs(HAiFLS) <- dem_crs if(is.list(inv_function)){ @@ -727,18 +471,18 @@ hydroweight <- function(hydroweight_dir = NULL, } - HAiFLS_inv <- HAiFLS_inv * accum_clip + HAiFLS_inv <- HAiFLS_inv * flow_accum HAiFLS_inv <- terra::mask(HAiFLS_inv, OS_combine_r, maskvalues = 1) terra::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_HAiFLS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) } if (OS_combine == FALSE) { - HAiFLS <- terra::rast(file.path(hydroweight_dir, paste0(target_uid,"_TEMP-flowdist-iFLS.tif"))) + HAiFLS <- terra::rast(file.path(own_tempdir, paste0(target_uid,"_TEMP_flowdist-iFLS.tif"))) terra::crs(HAiFLS) <- dem_crs if(is.list(inv_function)){ @@ -760,11 +504,11 @@ hydroweight <- function(hydroweight_dir = NULL, } - HAiFLS_inv <- HAiFLS_inv * accum_clip - HAiFLS_inv <- terra::mask(HAiFLS_inv, target_S_r, maskvalues = 1) + HAiFLS_inv <- HAiFLS_inv * flow_accum + HAiFLS_inv <- terra::mask(HAiFLS_inv, target_S, maskvalues = 1) terra::writeRaster(HAiFLS_inv, - file.path(hydroweight_dir, paste0(target_uid,"_TEMP-HAiFLS.tif")), + file.path(own_tempdir, paste0(target_uid,"_TEMP_HAiFLS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), NAflag = -9999 ) @@ -777,16 +521,14 @@ hydroweight <- function(hydroweight_dir = NULL, weighting_scheme_inv <- paste0(weighting_scheme, "_inv") dist_list <- lapply(weighting_scheme_inv, function(x) { - out<-get(x) #I think this can cause problems + out<-get(x) names(out)<-gsub("_inv","",x) return(out) }) names(dist_list) <- weighting_scheme dist_list_out<-lapply(dist_list,function(x) { - fl<-file.path(tempdir(),basename(tempfile())) - dir.create(fl) - fl<-file.path(fl,paste0(paste0(names(x),".tif"))) + fl<-file.path(own_tempdir,paste0(paste0(names(x),".tif"))) terra::writeRaster(x,fl,overwrite=T) return(fl) }) @@ -801,20 +543,15 @@ hydroweight <- function(hydroweight_dir = NULL, flags = '-r9Xjq' ) - dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 -- this is too slow for large rasters - - # saveRDS(dist_list, file = file.path( - # hydroweight_dir, - # paste0(target_uid, "_inv_distances.rds") - # )) + dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 -- this is slow for large rasters ## CLEAN UP ---- if (clean_tempfiles){ - temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_hydroweight_"), + temp_rasters <- list.files(path = own_tempdir, pattern = paste0(target_uid,"_hydroweight_"), full.names = TRUE) file.remove(temp_rasters) - temp_rasters <- list.files(path = hydroweight_dir, pattern = paste0(target_uid,"_TEMP-"), + temp_rasters <- list.files(path = own_tempdir, pattern = paste0(target_uid,"_TEMP_"), full.names = TRUE) file.remove(temp_rasters) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 410f49b..7eb2a51 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -12,16 +12,16 @@ #' #' Spatial layers are aligned to \code{distance_weights} (i.e., identical coordinate reference systems - CRS). #' -#' @param loi character (with extension, e.g., "lu.shp"), \code{sf} or \code{RasterLayer}. Layer of interest (e.g., land use layer). -#' @param loi_attr_col character. A name that will precede the calculated attributes (e.g., loi_mean, loi_median etc.) +#' @param loi character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Layer of interest (e.g., land use layer). +#' @param loi_attr_col character. A name that will precede the calculated attributes (e.g., loi_mean, loi_median etc.) (Depreciated, names taken from loi_columns now) #' @param loi_columns character. The column names over which to summarize the attributes. #' @param loi_numeric logical. If \code{TRUE}, the `loi_columns` being summarized are numeric. If \code{FALSE}, the `loi_columns` being summarized are categorical. #' @param loi_numeric_stats character. One or more of c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"). Those without distwtd_ are simple "lumped" statistics. -#' @param roi character (with extension, e.g., "roi.shp"), \code{sf} or \code{RasterLayer}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes. +#' @param roi character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/roi.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes. #' @param roi_uid character. Unique identifier value for the roi. -#' @param roi_uid_col character. Column name that will be assigned to the roi_uid. -#' @param distance_weights character (with extension, e.g., "idw.rds"), \code{list}. The distance-weighted rasters output from \code{hydroweight}. -#' @param remove_region \code{sf} or \code{RasterLayer}. Regions to remove when summarizing the attributes (e.g., remove lake from catchment) +#' @param roi_uid_col character. Column name that will be assigned to the roi_uid; Will be included in the attribute summary table. +#' @param distance_weights character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/idw.rds", or "idw.zip"), \code{list}. The distance-weighted rasters output from \code{hydroweight}. +#' @param remove_region character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Regions to remove when summarizing the attributes (e.g., remove lake from catchment) #' @param return_products logical. If \code{TRUE}, a list containing attribute summary table, the \code{roi-} and \code{remove_region}-masked layer (i.e., all cells contributing to attribute calculation), and \code{distance_weights} raster. If \code{FALSE}, attribute summary table only. #' @return If \code{return_products = TRUE}, a list containing 1) attribute summary table, and 2) a list of return_products of \code{length(distance_weights)} where each list element contains a list of 2 sub-elements: 1) \code{roi-} and \code{remove_region}-masked \code{loi} (i.e., all cells contributing to attribute calculation), and 2) the \code{roi-} and \code{remove_region}-masked \code{distance_weights} raster. If \code{return_products = FALSE}, attribute summary table only. #' @export @@ -29,86 +29,28 @@ hydroweight_attributes <- function(loi, loi_attr_col = NULL, loi_columns = NULL, - loi_numeric = NULL, - loi_numeric_stats = NULL, + loi_numeric, + loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"), roi, roi_uid, - roi_uid_col, + roi_uid_col="ID", distance_weights, remove_region=NULL, return_products = TRUE) { - if (!dir.exists(tempdir())) dir.create(tempdir()) + loi_numeric_stats<-match.arg(loi_numeric_stats,several.ok = T) - if (inherits(loi,"character")){ - if (grepl("\\.shp$",loi)) { - loi<-terra::vect(loi) - } else if (grepl("\\.tif$|\\.tiff",loi)) { - loi<-terra::rast(loi) - } else { - stop("'loi' must be spcified as vector or raster layer, or a character string ending in .shp or .tif") - } - } - if (inherits(loi,"RasterLayer")){ - loi<-terra::rast(loi) - } - if (inherits(loi,"PackedSpatRaster")){ - loi<-terra::rast(loi) - } - if (inherits(loi,"PackedSpatVector")){ - loi<-terra::vect(loi) - } - if (inherits(loi,"sf")){ - loi<-terra::vect(loi) - } - - if (inherits(roi,"character")){ - if (grepl("\\.shp$",roi)) { - roi<-terra::vect(roi) - } else if (grepl("\\.tif$|\\.tiff",roi)) { - roi<-terra::rast(roi) - } else { - stop("'roi' must be spcified as vector or raster layer, or a character string ending in .shp or .tif") - } - } - if (inherits(roi,"RasterLayer")){ - roi<-terra::rast(roi) - } - if (inherits(roi,"PackedSpatRaster")){ - roi<-terra::rast(roi) - } - if (inherits(roi,"PackedSpatVector")){ - roi<-terra::vect(roi) - } - if (inherits(roi,"sf")){ - roi<-terra::vect(roi) + if (loi_numeric == TRUE) { + loi_resample <- "bilinear" } - if (!roi_uid_col %in% names(roi)) { - stop("`roi_uid_col` must be in `roi`") + if (loi_numeric == FALSE) { + loi_resample <- "near" } - if (inherits(remove_region,"character")){ - if (grepl("\\.shp$",remove_region)) { - remove_region<-terra::vect(remove_region) - } else if (grepl("\\.tif$|\\.tiff",remove_region)) { - remove_region<-terra::rast(remove_region) - } else { - stop("'remove_region' must be spcified as vector or raster layer, or a character string ending in .shp or .tif") - } - } - if (inherits(remove_region,"RasterLayer")){ - remove_region<-terra::rast(remove_region) - } - if (inherits(remove_region,"PackedSpatRaster")){ - remove_region<-terra::rast(remove_region) - } - if (inherits(remove_region,"PackedSpatVector")){ - remove_region<-terra::vect(remove_region) - } - if (inherits(remove_region,"sf")){ - remove_region<-terra::vect(remove_region) - } + # Read in distance weights ------------------------------------------------ + own_tempdir<-tempfile() + if (!dir.exists(own_tempdir)) dir.create(own_tempdir) if (inherits(distance_weights,"character")){ if (grepl("\\.rds$",distance_weights)) { @@ -125,314 +67,191 @@ hydroweight_attributes <- function(loi, distance_weights<-lapply(distance_weights,function(x) if (inherits(x,"PackedSpatRaster")) terra::rast(x) else x) - ## Set resampling based on loi_numeric - if (loi_numeric == TRUE) { - loi_resample <- "bilinear" - } + # Prepare input data ------------------------------------------------------ + roi<-process_input(input = roi, + input_name="roi", + target = distance_weights[[1]], + clip_region=distance_weights[[1]], + resample_type="near") + roi<-roi[[1]] + names(roi)<-"roi" + + remove_region<-process_input(input = remove_region, + input_name="remove_region", + target = distance_weights[[1]], + clip_region=distance_weights[[1]], + resample_type="near") - if (loi_numeric == FALSE) { - loi_resample <- "ngb" + if (!is.null(remove_region)) { + remove_region<-remove_region[[1]] + names(remove_region)<-"remove_region" + + roi <- terra::mask(x=roi, mask = remove_region, inverse = TRUE) } - if (inherits(loi, ("SpatRaster"))) { - message("\n Reprojecting `loi` to match `distance_weights` using method `ngb/bilinear` if loi_categorical == `TRUE/FALSE`") + loi<-process_input(input = loi, + input_name="loi", + variable_names=loi_columns, + target = roi, + clip_region=roi, + resample_type=loi_resample) - loi_r <- terra::project( - x = loi, - y = distance_weights[[1]], - method = loi_resample, - overwrite = TRUE, - filename=file.path(paste0(tempfile(),"_TEMP.tif")) - ) - } + distance_weights<-lapply(distance_weights,process_input,target=roi,clip_region=roi,resample_type="bilinear") - ## Generate RasterBrick of polygon loi using distance_weights as template - - ## If polygon loi has a field of interest with numerical data, categories - ## are used to produce a RasterBrick of these - - ## If polygon loi has a field of interest with categorical data, categories - ## are used to produce a RasterBrick of these - if (inherits(loi, "SpatVector")) { - if (loi_numeric == TRUE) { - loi_r <- lapply(loi_columns, function(x) { - loi_return <- terra::rasterize(x=loi, - y= distance_weights[[1]], - field = x - ) - }) - names(loi_r) <- loi_columns - loi_r <- terra::rast(loi_r) - } + loi_stats <- list(setNames(roi_uid,roi_uid_col) %>% unlist()) + names(loi_stats)<-roi_uid_col + loi_stats<-list(UID=loi_stats) - if (loi_numeric == FALSE) { - loi_r <- lapply(loi_columns, function(x) { - brick_ret <- terra::rasterize(x=loi, - y= distance_weights[[1]], - field = x - ) - # names(brick_ret) <- paste0(x, names(brick_ret)) - brick_ret - }) - loi_r <- terra::rast(loi_r) - - ## Account for fasterizing NAs - # names(loi_r) <- gsub("NA\\.", "XNA", names(loi_r)) - } - } - ## Generate roi - if (inherits(roi, "SpatVector")) { - roi_r <- terra::rasterize(x=roi, y= distance_weights[[1]]) - } else { - message("\n Reprojecting `roi` to match `distance_weights` attributes using method `loi_resample`") - - roi_r <- terra::project( - x = roi, - y = distance_weights[[1]], - method = loi_resample, - overwrite = TRUE, - filename=file.path(paste0(tempfile(),"_TEMP.tif")) - ) - } + # For raster data with loi_numeric numbers -------------------------------- + if (loi_numeric == TRUE){ + # Non-weighted statistics ------------------------------------------------- - ## Mask out remove_region if present - if (!is.null(remove_region)) { - if (inherits(remove_region, "SpatVector")) { - remove_region_r <- terra::rasterize(x=remove_region, y = distance_weights[[1]]) + if (any(loi_numeric_stats %in% "mean")){ + loi_mean <- terra::global(loi, fun = "mean", na.rm = T) %>% unlist() + names(loi_mean)<-paste0(names(loi), "_lumped_mean") } else { - remove_region_r <- remove_region + loi_mean<-NULL } - - roi_r <- terra::mask(x=roi_r, mask = remove_region_r, inverse = TRUE) - } - - distance_weights_attributes <- lapply(1:length(distance_weights), function(ii) { - #browser() - # This loop could definitely be optimized better - - ## For raster data with loi_numeric numbers - if (loi_numeric == TRUE) { - - ## Mask out roi - loi_r_mask <- terra::mask(loi_r, roi_r) - distance_weights_mask <- terra::mask(distance_weights[[ii]], roi_r) - - ## Make sure NA across loi_r_mask is replicated across distance_weights_mask - distance_weights_mask <- distance_weights_mask * !is.na(loi_r_mask) - - ## - loi_dist <- loi_r_mask * distance_weights_mask - names(loi_dist) <- names(loi_r_mask) - - ## Weighted mean - loi_distwtd_mean <- terra::global(loi_dist, fun = "sum", na.rm = TRUE) / terra::global(distance_weights_mask, fun = "sum", na.rm = T) - colnames(loi_distwtd_mean)<-"distwtd_mean" - - ## Weighted standard deviation - ## https://stats.stackexchange.com/questions/6534/how-do-i-calculate-a-weighted-standard-deviation-in-excel - term1 <- terra::global((distance_weights_mask * (loi_r_mask - unlist(loi_distwtd_mean))^2), fun = "sum", na.rm = TRUE) - M <- terra::global(distance_weights_mask != 0, fun="sum", na.rm = T) - term2 <- ((M - 1) / M) * terra::global(distance_weights_mask, fun = "sum", na.rm = TRUE) - - loi_distwtd_sd <- sqrt(term1 / term2) - colnames(loi_distwtd_sd)<-"distwtd_sd" - - ## Non-weighted statistics - loi_mean <- terra::global(loi_r_mask, fun = "mean", na.rm = T) - colnames(loi_mean)<-"mean" - loi_sd <- terra::global(loi_r_mask, fun = "sd", na.rm = T) - colnames(loi_sd)<-"sd" - loi_median <- terra::global(loi_r_mask, fun = function(x) median(x,na.rm=T)) - colnames(loi_median)<-"median" - loi_min <- terra::global(loi_r_mask, fun = "min", na.rm = T) - colnames(loi_min)<-"min" - loi_max <- terra::global(loi_r_mask, fun = "max", na.rm = T) - colnames(loi_max)<-"max" - loi_sum <- terra::global(loi_r_mask, fun = "sum", na.rm = T) - colnames(loi_sum)<-"sum" - loi_cell_count <- !is.na(loi_r_mask) - loi_cell_count <- terra::global(loi_cell_count, fun="sum", na.rm = T) - colnames(loi_cell_count)<-"cell_count" - roi_cell_count <- terra::global(roi_r, fun="sum", na.rm = T) + if (any(loi_numeric_stats %in% "sd")){ + loi_sd <- terra::global(loi, fun = "sd", na.rm = T) %>% unlist() + names(loi_sd)<-paste0(names(loi), "_lumped_sd") + } else { + loi_sd<-NULL + } + if (any(loi_numeric_stats %in% "median")){ + loi_median <- terra::global(loi, fun = function(x) median(x,na.rm=T)) %>% unlist() + names(loi_median)<-paste0(names(loi), "_lumped_median") + }else { + loi_median<-NULL + } + if (any(loi_numeric_stats %in% "min")){ + loi_min <- terra::global(loi, fun = "min", na.rm = T) %>% unlist() + names(loi_min)<-paste0(names(loi), "_lumped_min") + }else { + loi_min<-NULL + } + if (any(loi_numeric_stats %in% "max")){ + loi_max <- terra::global(loi, fun = "max", na.rm = T) %>% unlist() + names(loi_max)<-paste0(names(loi), "_lumped_max") + }else { + loi_max<-NULL + } + if (any(loi_numeric_stats %in% "sum")){ + loi_sum <- terra::global(loi, fun = "sum", na.rm = T) %>% unlist() + names(loi_sum)<-paste0(names(loi), "_lumped_sum") + }else { + loi_sum<-NULL + } + if (any(loi_numeric_stats %in% "cell_count")){ + loi_cell_count <- !is.na(loi) + loi_cell_count <- terra::global(loi_cell_count, fun="sum", na.rm = T) %>% unlist() + names(loi_cell_count)<-paste0(names(loi), "_lumped_cell_count") + }else { + loi_cell_count<-NULL + } + if (any(loi_numeric_stats %in% "NA_cell_count")){ + roi_cell_count <- terra::global(roi, fun="sum", na.rm = T) %>% unlist() loi_NA_cell_count <- unlist(roi_cell_count) - unlist(loi_cell_count) - loi_NA_cell_count<-data.frame(matrix(loi_NA_cell_count,nrow=dim(loi_mean)[1])) - colnames(loi_NA_cell_count)<-"NA_cell_count" - - loi_stats <- data.frame( - loi_distwtd_mean, loi_distwtd_sd, loi_mean, loi_sd, - loi_median, loi_min, loi_max, - loi_sum, loi_cell_count, loi_NA_cell_count - ) - - ## If single RasterLayer - if (terra::nlyr(loi_dist) == 1) { - loi_stats <- as.data.frame(loi_stats) - colnames(loi_stats) <- gsub("loi_", "", colnames(loi_stats)) - colnames(loi_stats) <- paste(loi_attr_col, colnames(loi_stats), sep = "_") - } - - ## If RasterBrick - if (terra::nlyr(loi_dist) > 1) { - loi_stats$cats <- rownames(loi_stats) - loi_stats_w <- tidyr::pivot_wider(loi_stats, values_from = c(any_of(colnames(loi_stats))), names_from = "cats") - colnames(loi_stats_w) <- gsub("loi_", "", colnames(loi_stats_w)) - - vars_strings <- stringr::str_extract(colnames(loi_stats_w), loi_columns) - stats_strings <- stringr::str_replace(colnames(loi_stats_w), paste0("_", loi_columns), "") - colnames_strings <- paste(vars_strings, stats_strings, sep = "_") - - loi_stats_w <- as.data.frame(loi_stats_w) - colnames(loi_stats_w) <- paste(loi_attr_col, colnames_strings, sep = "_") - loi_stats_w <- as.data.frame(loi_stats_w) - - loi_stats <- loi_stats_w - } + names(loi_NA_cell_count)<-paste0(names(loi), "_lumped_NA_cell_count") + }else { + loi_NA_cell_count<-NULL } - ## For raster data with categorical numbers - if (loi_numeric == FALSE) { - - ## Construct brick if "RasterLayer" - if (inherits(loi_r, "SpatRaster")) { - - if (terra::nlyr(loi_r)>1) { - brick_list<-terra::split(loi_r,names(loi_r)) - names(brick_list)<-names(loi_r) - } else { - brick_list<-loi_r - } - - brick_list<-lapply(names(brick_list),function(y){ - uv <- unlist(terra::unique(brick_list[[y]])) - - out<-lapply(uv,function(x) { - repl<-terra::values(brick_list[[y]]) - repl[repl!=x]<-NA - repl[!is.na(repl)]<-1 - out<-terra::setValues(brick_list[[y]],repl) - names(out)<-paste0(y,"_",x) - return(out) - }) - - nms<-sapply(out,names) - out <- terra::rast(out) - names(out) <- nms - return(out) - }) - - loi_r <- terra::rast(brick_list) + loi_stats <- c(loi_stats, + list(lummped=list(mean=loi_mean, + sd=loi_sd, + median=loi_median, + min=loi_min, + max=loi_max, + sum=loi_sum, + cell_count=loi_cell_count, + NA_cell_count=loi_NA_cell_count + )) + ) - #names(loi_r) <- uv + # Weighted statistics ----------------------------------------------------- + distance_weights_attributes <- lapply(distance_weights, function(dw) { + loi_dist <- loi * dw + names(loi_dist) <- names(loi) - } + loi_sum<-terra::global(loi_dist, fun = "sum", na.rm = TRUE) + distance_weights_sum<-terra::global(dw, fun = "sum", na.rm = T) - loi_r_mask <- terra::mask(loi_r, roi_r) - distance_weights_mask <- terra::mask(distance_weights[[ii]], roi_r) + if (loi_numeric == TRUE) { - loi_dist <- loi_r_mask * distance_weights_mask - names(loi_dist) <- names(loi_r_mask) + ## Weighted mean + loi_distwtd_mean <- unlist(loi_sum) / unlist(distance_weights_sum) + names(loi_distwtd_mean)<-paste0(names(loi),"_",names(dw),"_distwtd_mean") - loi_pct_distwtd <- unlist(terra::global(loi_dist, fun = "sum", na.rm = TRUE)) / - unlist(terra::global(distance_weights_mask, fun = "sum", na.rm = TRUE)) - names(loi_pct_distwtd) <- names(loi_r_mask) + ## Weighted standard deviation + ## https://stats.stackexchange.com/questions/6534/how-do-i-calculate-a-weighted-standard-deviation-in-excel + term1 <- terra::global((dw * (loi - unlist(loi_distwtd_mean))^2), fun = "sum", na.rm = TRUE) + M <- terra::global(dw != 0, fun="sum", na.rm = T) + term2 <- ((M - 1) / M) * distance_weights_sum - loi_stats <- data.frame(t(loi_pct_distwtd)) - colnames(loi_stats) <- gsub("X", "_", colnames(loi_stats)) - colnames(loi_stats) <- paste(loi_attr_col, "prop", colnames(loi_stats), sep = "_") - colnames(loi_stats) <- gsub("__", "_", colnames(loi_stats)) - } + loi_distwtd_sd <- sqrt(unlist(term1) / unlist(term2)) + names(loi_distwtd_sd)<-paste0(names(loi),"_",names(dw),"_distwtd_sd") - loi_stats <- data.frame(data.frame(roi_uid = roi_uid), loi_stats) - colnames(loi_stats)[1] <- roi_uid_col + loi_stats_temp<-list(distwtd_mean=loi_distwtd_mean, + distwtd_sd=loi_distwtd_sd) - ## Reduce loi_stats frame according to loi_numeric_stats - if (!is.null(loi_numeric_stats)) { - col_return <- lapply(loi_numeric_stats, function(x) { - grep(x, names(loi_stats)) - }) - col_return <- do.call("c", col_return) - col_return <- unique(col_return) + if (return_products == TRUE) { + loi_stats_temp<-c(loi_stats_temp, + list(loi_dist_rast=loi_dist)) + } - loi_stats <- loi_stats[, c(1, col_return)] - } + return(loi_stats_temp) + } + }) + } - #loi_stats + # For raster data with loi_numeric categorical numbers ----------------------- + if (loi_numeric == FALSE){ - if (return_products == TRUE) { - ret_list <- list(loi_stats, loi_r_mask, distance_weights_mask) - names(ret_list) <- c("loi_statistics", "loi_Raster*_bounded", "distance_weights_bounded") - } else { - ret_list <- loi_stats - } + distance_weights_attributes <- lapply(distance_weights, function(dw) { - return(ret_list) - }) + loi_dist <- loi * dw + names(loi_dist) <- names(loi) - ## Pull out attribute_frames and adjust - attribute_frames <- lapply(1:length(distance_weights_attributes), function(ii) { - if (return_products == TRUE) { - sub_frame <- distance_weights_attributes[[ii]][[1]] + loi_sum<-terra::global(loi_dist, fun = "sum", na.rm = TRUE) + distance_weights_sum<-terra::global(dw, fun = "sum", na.rm = T) - colnames(sub_frame)[-1] <- paste0( - names(distance_weights)[[ii]], - "_", - colnames(sub_frame)[-1] - ) - } + loi_pct_distwtd <- unlist(loi_sum) / unlist(distance_weights_sum) + names(loi_pct_distwtd)<-paste0(names(loi),"_",names(dw),"_prop") - if (return_products == FALSE) { - sub_frame <- distance_weights_attributes[[ii]] + loi_stats_temp<-list(pct_distwtd=loi_pct_distwtd) - colnames(sub_frame)[-1] <- paste0( - names(distance_weights)[[ii]], - "_", - colnames(sub_frame)[-1] - ) - } + if (return_products == TRUE) { + loi_stats_temp<-c(loi_stats_temp, + list(loi_dist_rast=loi_dist)) + } + return(loi_stats_temp) + }) + } - return(sub_frame) - }) - attribute_frames <- Reduce(merge, attribute_frames) + # Process final table ----------------------------------------------------- + final_out_table<-lapply(distance_weights_attributes,function(x) x[names(x) != "loi_dist_rast"]) + final_out_table<-c(loi_stats,final_out_table) + final_out_table_nms<-lapply(names(final_out_table),function(x) lapply(names(final_out_table[[x]]),function(y) names(final_out_table[[x]][[y]]))) + final_out_table_nms<-unlist(final_out_table_nms) - if (loi_numeric == TRUE) { + final_out_table<-tibble::enframe(unlist(final_out_table)) %>% + tidyr::pivot_wider() + colnames(final_out_table)<-final_out_table_nms - ## Pull out distance-weighted columns - distwtd_cols <- grep("distwtd", names(attribute_frames)) - distwtd_data <- attribute_frames[distwtd_cols] - - ## All lumped columns are identical data regardless of prefix. Reducing. - lumped_cols <- which(!grepl("distwtd", colnames(attribute_frames)) & !grepl(roi_uid_col, colnames(attribute_frames))) - lumped_data <- attribute_frames[lumped_cols] - lumped_cols_reduce <- grep(names(distance_weights)[1], colnames(lumped_data)) - lumped_data <- lumped_data[lumped_cols_reduce] - colnames(lumped_data) <- gsub(names(distance_weights)[1], "lumped", colnames(lumped_data)) - - ## Bring together - attribute_frames_return <- cbind( - attribute_frames[, roi_uid_col], - lumped_data, - distwtd_data - ) - colnames(attribute_frames_return)[1] <- roi_uid_col - } else { - attribute_frames_return <- attribute_frames - } + return_list <- list(attribute_table=final_out_table) - ## If return_products == TRUE, remove the attribute table, keep the other parts of the list, and name according to distance_weights if (return_products == TRUE) { - attribute_products <- lapply(1:length(distance_weights_attributes), function(ii) { - sub_products <- lapply(distance_weights_attributes[[ii]][-1],terra::wrap) - }) - names(attribute_products) <- names(distance_weights) + final_out_rasts<-lapply(distance_weights_attributes,function(x) x[names(x) == "loi_dist_rast"]) + final_out_rasts<-lapply(final_out_rasts,function(x) lapply(x,terra::wrap)) - return_list <- list(attribute_frames_return, attribute_products) - names(return_list) <- c("attribute_table", "return_products") - } else { - return_list <- attribute_frames_return + return_list<-c(return_list, + list(return_products=final_out_rasts)) } + file.remove(list.files(tempdir(),pattern="_TEMP.tif")) return(return_list) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R new file mode 100644 index 0000000..712c4fa --- /dev/null +++ b/R/hydroweight_uitility.R @@ -0,0 +1,184 @@ +#' Process Input GIS files into target format and clip +#' +#' @export +#' +process_input<-function(input=NULL, + input_name=NULL, + variable_names=NULL, + target=NULL, + clip_region=NULL, + resample_type=c("bilinear","near"), + ...){ + require(terra) + require(sf) + + if (is.null(input)) return(input) + output<-NULL + + resample_type<-match.arg(resample_type) + + # Reconcile Types --------------------------------------------------------- + if (inherits(input,"character")){ + if (grepl("\\.shp$",input)) { + output<-terra::vect(input) + } else if (grepl("\\.tif$|\\.tiff",input)) { + output<-terra::rast(input) + } else { + stop(paste0(input_name," must be spcified as vector or raster layer, or a character string ending in .shp or .tif")) + } + } + if (inherits(input,"RasterLayer")){ + output<-terra::rast(input) + } + if (inherits(input,"PackedSpatRaster")){ + output<-terra::rast(input) + } + if (inherits(input,"PackedSpatVector")){ + output<-terra::vect(input) + } + if (inherits(input,"sf")){ + output<-terra::vect(input) + } + if (inherits(input,"SpatRaster")){ + output<-input + } + if (inherits(input,"SpatVector")){ + output<-input + } + + if (is.na(terra::crs(output)) | is.null(terra::crs(output))) { + stop("'output' crs() is NULL or NA. Apply projection before continuing") + } + + if (is.null(variable_names)) variable_names<-names(output) + if (any(!variable_names %in% names(output))) stop("some 'variable_names' not in input") + + if (length(variable_names)>0) { + if (inherits(output,"SpatVector")) output<-output[names(output) %in% variable_names] + if (inherits(output,"SpatRaster")) output<-terra::subset(output,variable_names) + } + + if (!is.null(target)){ + target<-process_input(input=target) + + if (is.na(terra::crs(target)) | is.null(terra::crs(target))) { + stop("'target' crs() is NULL or NA. Apply projection before continuing") + } + + # If target is raster ----------------------------------------------------- + if (inherits(target,"SpatRaster")){ + if (inherits(output,"SpatVector")) { + + if (resample_type=="near"){ # For categorical vector inputs + output_split<-lapply(setNames(variable_names,variable_names), function(x) { + output %>% + st_as_sf() %>% + select(any_of(x)) %>% + split(.[[x]]) %>% + lapply(vect) + }) + + output_split_nms<-sapply(names(output_split),function(x) paste0(x,"_",names(output_split[[x]]))) + + output_split<-unlist(output_split,recursive = F) + names(output_split)<-output_split_nms + + output <- lapply(output_split, function(x) { + terra::rasterize(x=x, + y=target, + field = "", + overwrite=T, + ... + ) + }) + } + if (resample_type=="bilinear"){ # For numeric vector inputs + output <- lapply(variable_names, function(x) { + terra::rasterize(x=output, + y=target, + field = x, + overwrite=T, + ... + ) + }) + } + + output <- terra::rast(output) + } + } + + # If target is vector ----------------------------------------------------- + if (inherits(target,"SpatVector")){ + if (inherits(output,"SpatRaster")) { + if (terra::is.polygons(target)) output<-terra::as.polygons(output,...) + if (terra::is.points(target)) output<-terra::as.points(output,...) + if (terra::is.lines(target)) output<-terra::as.lines(output,...) + } + } + + if (inherits(output,"SpatRaster")) { + if (length(resample_type)>1) stop("'resample_type' must be one of: 'bilinear','near'") + output <- terra::project( + x = output, + y = target, + method = resample_type, + overwrite = TRUE, + ... + ) + } + + if (inherits(output,"SpatVector")) { + output <- terra::project( + x = output, + y = target, + ... + ) + } + + } + + if (!is.null(clip_region) & !is.null(target)){ + clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=crs(target))) + + output<-terra::crop( + x=output, + y=clip_region, + mask=T + ) + } + + if (resample_type=="near") { + if (terra::nlyr(output)>1) { + brick_list<-terra::split(output,names(output)) + names(brick_list)<-names(output) + } else { + brick_list<-output + } + + brick_list<-lapply(names(brick_list),function(y){ + uv <- unlist(terra::unique(brick_list[[y]])) + uv <- uv[!sapply(uv,is.nan)] + uv <- uv[!sapply(uv,is.na)] + uv <- uv[!sapply(uv,is.infinite)] + + out<-lapply(uv,function(x) { + repl<-terra::values(brick_list[[y]]) + repl[repl!=x]<-NA + repl[!is.na(repl)]<-1 + out<-terra::setValues(brick_list[[y]],repl) + if (length(uv)>1) names(out)<-paste0(y,"_",x) + if (length(uv)==1) names(out)<-y + return(out) + }) + + nms<-sapply(out,names) + out <- terra::rast(out) + names(out) <- nms + return(out) + }) + + output <- terra::rast(brick_list) + } + + return(output) +} diff --git a/README.Rmd b/README.Rmd index b6f3f62..40ad542 100644 --- a/README.Rmd +++ b/README.Rmd @@ -373,10 +373,10 @@ hw_test_1 <- hydroweight( target_O = tg_O, target_S = tg_S, target_uid = "Lake", - clip_region = NULL, + clip_region = tg_O_multi_catchment[1,], OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -422,32 +422,22 @@ Important things to note from this plot: - iEucO and iEucS distances extend outward to the extent of the DEM. - For iFLO/HAiFLO/iFLS/HAiFLS, only distances in cells contributing to the areas of interest are included. -- For iFLS/HAiFLS, all regions draining to *any* streams are included -(i.e., the streams to the east). These would be removed depending on -catchment boundaries of interest when using -`hydroweight::hydroweight_attributes()` - As in Peterson *et al.* (2011), for HAiFLS, the targets are set to NoData (i.e., NA) since they likely represent concentrated flow areas. -These temporary files are made per instance of -`hydroweight::hydroweight()`: - -```{r} -list.files(hydroweight_dir)[grep("TEMP-", list.files(hydroweight_dir))] -``` A few options to consider: ```{r, fig.width = 6, fig.height = 6, message = FALSE, error = FALSE, warning = FALSE} ## Ignoring target_O -hw_test_2 <- hydroweight::hydroweight( +hw_test_2 <- hydroweight( hydroweight_dir = hydroweight_dir, target_S = tg_S, target_uid = "Lake", clip_region = NULL, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c("lumped", "iEucS", "iFLS", "HAiFLS"), inv_function = myinv ) @@ -461,12 +451,12 @@ hw_test_2<-lapply(hw_test_2,rast) # hw_test_2[[4]] ## HAiFLS ## Ignoring target_S -hw_test_3 <- hydroweight::hydroweight( +hw_test_3 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_uid = "Lake", - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c("lumped", "iEucO", "iFLO", "HAiFLO"), inv_function = myinv ) @@ -480,15 +470,15 @@ hw_test_3<-lapply(hw_test_3,rast) # hw_test_3[[4]] ## HAiFLO ## Setting a clip region -hw_test_4 <- hydroweight::hydroweight( +hw_test_4 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_S = tg_S, target_uid = "Lake", - clip_region = 8000, + clip_region = sf::st_buffer(tg_O,8000), OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -529,15 +519,15 @@ Since `hydroweight()` exports an `.rds` of its result to hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { message("Running hydroweight for site ", xx, " at ", Sys.time()) - hw_test_xx <- hydroweight::hydroweight( + hw_test_xx <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O_multi[xx, ], ## Important to change target_S = tg_S, target_uid = tg_O_multi$Site[xx], ## Important to change clip_region = NULL, OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -700,14 +690,16 @@ values(ndvi) <- runif(n = (dim(ndvi)[1] * dim(ndvi)[2]), min = 0, max = 1) names(ndvi) <- "ndvi" hwa_test_numeric <- hydroweight_attributes( - loi = ndvi, + #loi = ndvi, + loi = rast(list(setNames(ndvi,"ndvi1"),setNames(ndvi,"ndvi2"))), + loi_columns=c("ndvi1","ndvi2"), loi_attr_col = "ndvi", loi_numeric = TRUE, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "cell_count"), roi = tg_O_catchment, roi_uid = "1", roi_uid_col = "Lake", - distance_weights = file.path(hydroweight_dir,"Lake_inv_distances.zip"),#hw_test_1, + distance_weights = hw_test_1,#file.path(hydroweight_dir,"Lake_inv_distances.zip"), remove_region = tg_O, return_products = TRUE ) @@ -745,21 +737,21 @@ par(mfrow = c(3, 2), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights") -plot(hwa_test_numeric$return_products$lumped$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE) +plot(hw_test_1$lumped, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$lumped$`loi_Raster*_bounded` * hwa_test_numeric$return_products$lumped$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights") -plot(hwa_test_numeric$return_products$iEucO$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iEucO, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iEucO$`loi_Raster*_bounded` * hwa_test_numeric$return_products$iEucO$distance_weights_bounded, main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iEucO$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) ## iFLS plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights") -plot(hwa_test_numeric$return_products$iFLS$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iFLS, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iFLS$`loi_Raster*_bounded` * hwa_test_numeric$return_products$iFLS$distance_weights_bounded, main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iFLS$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) ``` [Back to top](#contents) @@ -781,10 +773,11 @@ m <- c(0, 220, 1, 220, 300, 2, 300, 400, 3, 400, Inf, 4) rclmat <- matrix(m, ncol = 3, byrow = TRUE) lulc <- classify(lulc, rclmat) +# PICKUP FROM HERE ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc hwa_test_categorical <- hydroweight_attributes( - loi = lulc, - loi_attr_col = "lulc", + loi = rast(list(setNames(lulc,"lulc1"),setNames(lulc,"lulc2"))), + loi_attr_col = c("lulc1","lulc2"), loi_numeric = FALSE, roi = tg_O_catchment, roi_uid = "1", @@ -827,64 +820,55 @@ par(mfrow = c(3, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0), cex = 0.75) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded, +plot(hw_test_1$lumped, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[4]], +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_4, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[3]], +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_3, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[2]], +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_2, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded, +plot(hw_test_1$iEucO, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[4]], +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_4, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[3]], +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_3, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[2]], +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_2, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) -## iFLO -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded, +## iFLS +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS") +plot(hw_test_1$iFLS, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[4]], +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 4)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_4, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[3]], +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 3)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_3, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[2]], +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 2)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_2, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE ) ``` @@ -1028,15 +1012,15 @@ sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) ## Run hydroweight - site_weights <- hydroweight::hydroweight( + site_weights <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = sel, ## Important to change target_S = tg_S, target_uid = sel$Site[xx], ## Important to change clip_region = NULL, OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -1125,7 +1109,7 @@ sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = " loi_combined <- c(loi_variable[[yy]], loi_consist) ## Run hydroweight_attributes using arguments in loi_combined - loi_output <- do.call(hydroweight::hydroweight_attributes, loi_combined) + loi_output <- do.call(hydroweight_attributes, loi_combined) return(loi_output) } diff --git a/man/figures/README-unnamed-chunk-7-1.png b/man/figures/README-unnamed-chunk-7-1.png index a6edbcb5716d644febe14c264d40cabfc6597fcd..01739ab62cabe069c6de199999fdc80cd411d1d5 100644 GIT binary patch literal 5006 zcmeHLdpOhW|NqQ1TG{xbsD};793Cb`&1hw|bYNw5nBUBBzPKi9S0pZEPfyk773`@Zi_62+dZ 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zh2|V2$iGBzV^xsg3~@?^YW3Jlhp}I}HR^ z&MfX(s&SR`**kX0{!eCiBWL>YkagFpFCZSqYro&F9d@=8l^ysf2Rt5l8phjenIaid z5*wN<_Sj)Ilc66sriBf6H(lMXEXD`%9oYGEJa*s&LjxIExsajPhljPoBO5JJ38-eoKK zd$Upy$4d3?o|ilViz!DpWS3{& zU}Dk*NaxE%y#-w2XCCoG#%B zk3NfIQZ~yi@v%VY|AJeG+q4Dm1k`}?3KhdNKcG+doIo(~l# zaH^e*0Od3MQfN_$7Pd?l!nU~*mJD#|0~&{k$Rmgzqu1bS<9g^5`vnr}qvhe%z*Qo` z?i6?rw9^K7jI$$-1&8>GqIq?N@f$0yU@2uiYbqd{Kh^lLL1hDIP%_q-T8g<7)|%O+ zL5fc(nn27D}8XiaLsS7Gyy-J zt=ardvy9rqCE|th8=#e6Hmt||JW zB&b>AJ+DsM8*|8R^(^C#&wfhg`(tbVoLpORs4)wR*&R%ND-4U8>cnkq z`rc}a!cJpnJscpI#J81{(6L9lcI{`-|3XdttG=oKCtl>=!T;ZA0}{36=ND4ZAQtJr P`Ac Date: Thu, 18 Aug 2022 22:43:41 -0400 Subject: [PATCH 62/85] fixed minor bug in parse_input --- R/hydroweight_uitility.R | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index c61d1ca..2792337 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -301,13 +301,13 @@ process_input<-function(input=NULL, } if (need_save) { - final_temp<-file.path(working_dir,paste0(basename(tempfile()),".tif")) + final_temp<-file.path(tdir,paste0(basename(tempfile()),".tif")) terra::writeRaster(output,final_temp,overwrite=T,gdal="COMPRESS=NONE") } } if (inherits(output,"SpatVector")){ - final_temp<-file.path(working_dir,paste0(basename(tempfile()),".shp")) + final_temp<-file.path(tdir,paste0(basename(tempfile()),".shp")) terra::writeVector(output,final_temp,overwrite=T) } From 208fca902a9acc44442c2d6b38d0d37cb81af516 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Sat, 20 Aug 2022 19:54:48 -0400 Subject: [PATCH 63/85] Added option to return products to hydroweight function --- R/hydroweight.R | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 8b0937a..af25a98 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -55,11 +55,15 @@ hydroweight <- function(hydroweight_dir, clip_region = NULL, dem, flow_accum = NULL, - weighting_scheme = NULL, + weighting_scheme = c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS"), inv_function = function(x) { (x * 0.001 + 1)^-1 }, + return_products = T, clean_tempfiles=T) { + + weighting_scheme<-match.arg(weighting_scheme,several.ok = T) + require(terra) own_tempdir<-gsub("file","",tempfile()) @@ -570,7 +574,11 @@ hydroweight <- function(hydroweight_dir, flags = '-r9Xjq' ) - dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 -- this is slow for large rasters + if (return_products){ + dist_list<-lapply(dist_list,terra::wrap) # will need to use wrap() here for terra: https://github.com/rspatial/terra/issues/50 -- this is slow for large rasters + } else { + dist_list<-out_file + } ## CLEAN UP ---- if (clean_tempfiles){ From 41d66c806b6d757f4bdf5faeaf717b15dab8cce8 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Sat, 20 Aug 2022 20:39:25 -0400 Subject: [PATCH 64/85] minor edits --- R/hydroweight_attributes.R | 2 - R/hydroweight_uitility.R | 2 +- README.Rmd | 6 - README.md | 907 ++++++++++++---------- man/figures/README-unnamed-chunk-10-1.png | Bin 4076 -> 169759 bytes man/figures/README-unnamed-chunk-11-1.png | Bin 169790 -> 104914 bytes man/figures/README-unnamed-chunk-12-1.png | Bin 110935 -> 7874 bytes man/figures/README-unnamed-chunk-13-1.png | Bin 6752 -> 29555 bytes man/figures/README-unnamed-chunk-7-1.png | Bin 5006 -> 19637 bytes man/hydroweight.Rd | 3 +- man/hydroweight_attributes.Rd | 3 - 11 files changed, 489 insertions(+), 434 deletions(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 1b95740..d4b5f69 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -13,7 +13,6 @@ #' Spatial layers are aligned to \code{distance_weights} (i.e., identical coordinate reference systems - CRS). #' #' @param loi character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Layer of interest (e.g., land use layer). -#' @param loi_attr_col character. A name that will precede the calculated attributes (e.g., loi_mean, loi_median etc.) (Depreciated, names taken from loi_columns now) #' @param loi_columns character. The column names over which to summarize the attributes. #' @param loi_numeric logical. If \code{TRUE}, the `loi_columns` being summarized are numeric. If \code{FALSE}, the `loi_columns` being summarized are categorical. #' @param loi_numeric_stats character. One or more of c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"). Those without distwtd_ are simple "lumped" statistics. @@ -27,7 +26,6 @@ #' @export hydroweight_attributes <- function(loi, - loi_attr_col = NULL, loi_columns = NULL, loi_numeric, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"), diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 2792337..389bb18 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -67,7 +67,7 @@ process_input<-function(input=NULL, if (inherits(input,"PackedSpatVector")){ output<-terra::vect(input) } - if (inherits(input,"sf")){ + if (inherits(input,c("sf","sfc"))){ output<-terra::vect(input) } if (inherits(input,c("SpatRaster","SpatVector"))){ diff --git a/README.Rmd b/README.Rmd index f548a73..10c5266 100644 --- a/README.Rmd +++ b/README.Rmd @@ -677,7 +677,6 @@ hwa_test_numeric <- hydroweight_attributes( #loi = ndvi, loi = rast(list(setNames(ndvi,"ndvi1"),setNames(ndvi,"ndvi2"))), loi_columns=c("ndvi1","ndvi2"), - loi_attr_col = "ndvi", loi_numeric = TRUE, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "cell_count"), roi = tg_O_catchment, @@ -761,7 +760,6 @@ names(lulc)<-"lulc" ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc hwa_test_categorical <- hydroweight_attributes( loi = rast(list(setNames(lulc,"lulc1"),setNames(lulc,"lulc2"))), - loi_attr_col = c("lulc1","lulc2"), loi_numeric = FALSE, roi = tg_O_catchment, roi_uid = "1", @@ -888,7 +886,6 @@ lulc_p$var_2 <- sample(c(20:30), size = 4, replace = TRUE) ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc_p hwa_test_numeric_polygon <- hydroweight_attributes( loi = lulc_p, - loi_attr_col = "lulc", loi_columns = c("var_1", "var_2"), loi_numeric = TRUE, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "min", "max", "cell_count"), @@ -937,7 +934,6 @@ lulc_p$var_2 <- sample(c(20:30), size = 4, replace = TRUE) ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc_p hwa_test_categorical_polygon <- hydroweight_attributes( loi = lulc_p, - loi_attr_col = "lulc", loi_columns = c("var_1", "var_2"), loi_numeric = FALSE, roi = tg_O_catchment, @@ -1104,13 +1100,11 @@ writeRaster(cat_rasts,file.path(hydroweight_dir,"cat_rasters.tif"),overwrite=T) loi_variable_final<-list( numeric=list( loi = file.path(hydroweight_dir,"numeric_rasters.tif"), - loi_attr_col = names(numeric_rasts), loi_numeric = TRUE, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "min", "max") ), categorical=list( loi = file.path(hydroweight_dir,"cat_rasters.tif"), - loi_attr_col = names(cat_rasts), loi_numeric = FALSE ) ) diff --git a/README.md b/README.md index 4dedebf..4263a9b 100644 --- a/README.md +++ b/README.md @@ -12,41 +12,39 @@ hydroweight: Inverse distance-weighted rasters and landscape attributes installation](#20-system-setup-and-installation) - [3.0 Inverse distance-weighted rasters using `hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) - - [3.1 Generate toy terrain - dataset](#31-generate-toy-terrain-dataset) - - [3.2 Generate targets](#32-generate-targets) - - [3.3 Run `hydroweight()`](#33-run-hydroweight) - - [3.4 Run `hydroweight()` across a set of - sites](#34-run-hydroweight-across-a-set-of-sites) - - [3.5 Using `iFLO` output as catchment boundaries for - `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) +- [3.1 Generate toy terrain dataset](#31-generate-toy-terrain-dataset) +- [3.2 Generate targets](#32-generate-targets) +- [3.3 Run `hydroweight()`](#33-run-hydroweight) +- [3.4 Run `hydroweight()` across a set of + sites](#34-run-hydroweight-across-a-set-of-sites) +- [3.5 Using `iFLO` output as catchment boundaries for + `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) - [4.0 Inverse distance-weighted rasters using `hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) - - [4.1 Using a numeric raster layer of - interest](#41-using-a-numeric-raster-layer-of-interest) - - [4.2 Using a categorical raster layer of - interest](#42-using-a-categorical-raster-layer-of-interest) - - [4.3 Using a polygon layer of interest with numeric data in the - column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) - - [4.4 Using a polygon layer of interest with categorical data in - the - column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) +- [4.1 Using a numeric raster layer of + interest](#41-using-a-numeric-raster-layer-of-interest) +- [4.2 Using a categorical raster layer of + interest](#42-using-a-categorical-raster-layer-of-interest) +- [4.3 Using a polygon layer of interest with numeric data in the + column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) +- [4.4 Using a polygon layer of interest with categorical data in the + column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) - [5.0 Inverse distance-weighted rasters and attributes across multiple layers and sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) - - [5.1 Run hydroweight across - sites](#51-Run-hydroweight-across-sites) - - [5.2 Generate `loi` lists populated with - `hydroweight_attributes()` - parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) - - [5.3 Run `hydroweight_attributes()` across sites and - layers](#53-run-hydroweight_attributes-across-sites-and-layers) - - [5.4 Extract and adjust results data - frames](#54-extract-and-adjust-results-data-frames) -- [6.0 Future plans](#60-future-plans) -- [7.0 Acknowledgements](#70-acknowledgements) -- [8.0 References](#80-references) -- [9.0 Copyright](#90-copyright) +- [5.1 Run hydroweight across sites](#51-Run-hydroweight-across-sites) +- [5.2 Generate `loi` lists populated with `hydroweight_attributes()` + parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) +- [5.3 Run `hydroweight_attributes()` across sites and + layers](#53-run-hydroweight_attributes-across-sites-and-layers) +- [5.4 Extract and adjust results data + frames](#54-extract-and-adjust-results-data-frames) +- [6.0 Processing large amounts of + data](#60-Processing-large-amounts-of-data) +- [7.0 Future plans](#70-future-plans) +- [8.0 Acknowledgements](#80-acknowledgements) +- [9.0 References](#90-references) +- [10.0 Copyright](#100-copyright) ## 1.0 Introduction @@ -132,31 +130,33 @@ installation. ## Follow instructions for whitebox installation accordingly ## devtools::install_github("giswqs/whiteboxR") # For development version ## whitebox is now available on CRAN -install.packages("whitebox") +#install.packages("whitebox") library(whitebox) -install_whitebox() -## Possible warning message: -## ------------------------------------------------------------------------ -## Could not find WhiteboxTools! -## ------------------------------------------------------------------------ -## -## Your next step is to download and install the WhiteboxTools binary: -## > whitebox::install_whitebox() -## -## If you have WhiteboxTools installed already run `wbt_init(exe_path=...)`': -## > wbt_init(exe_path='/home/user/path/to/whitebox_tools') -## -## For whitebox package documentation, ask for help: -## > ??whitebox -## -## For more information visit https://giswqs.github.io/whiteboxR/ -## -## ------------------------------------------------------------------------ +if (F){ + install_whitebox() + # Possible warning message: + # ------------------------------------------------------------------------ + # Could not find WhiteboxTools! + # ------------------------------------------------------------------------ + # + # Your next step is to download and install the WhiteboxTools binary: + # > whitebox::install_whitebox() + # + # If you have WhiteboxTools installed already run `wbt_init(exe_path=...)`': + # > wbt_init(exe_path='/home/user/path/to/whitebox_tools') + # + # For whitebox package documentation, ask for help: + # > ??whitebox + # + # For more information visit https://giswqs.github.io/whiteboxR/ + # + # ------------------------------------------------------------------------ +} ## Install current version of hydroweight -devtools::install_github("bkielstr/hydroweight@main") +#devtools::install_github("bkielstr/hydroweight@main") ``` [Back to top](#contents) @@ -172,16 +172,18 @@ generate terrain products. ## Load libraries library(dplyr) library(foreach) +library(future.apply) library(hydroweight) -library(raster) +library(terra) library(sf) library(viridis) library(whitebox) ## Import toy_dem from whitebox package +toy_file<-sample_dem_data() toy_file <- system.file("extdata", "DEM.tif", package = "whitebox") -toy_dem <- raster(x = toy_file, values = TRUE) -crs(toy_dem) <- "+init=epsg:3161" +toy_dem <- rast(raster::raster(x = toy_file)) # reading the file from terra directly sometimes crashes R for some reason +crs(toy_dem) <- "epsg:3161" ## Generate hydroweight_dir as a temporary directory hydroweight_dir <- tempdir() @@ -244,10 +246,10 @@ the stream network (`tg_O_multi`) and their catchments ## Generate target_O, tg_O, representing a lake. tg_O <- toy_dem < 220 -tg_O[tg_O@data@values != 1] <- NA +tg_O[tg_O != 1] <- NA writeRaster(tg_O, file.path(hydroweight_dir, "tg_O.tif"), overwrite = TRUE) -tg_O <- rasterToPolygons(tg_O, dissolve = TRUE) -tg_O <- st_as_sf(tg_O) +tg_O <- terra::as.polygons(tg_O, dissolve = TRUE) +tg_O <- sf::st_as_sf(tg_O) ## Generate catchment for tg_O wbt_watershed( @@ -256,42 +258,44 @@ wbt_watershed( output = file.path(hydroweight_dir, "tg_O_catchment.tif") ) -tg_O_catchment <- raster(file.path(hydroweight_dir, "tg_O_catchment.tif")) -tg_O_catchment <- rasterToPolygons(tg_O_catchment, dissolve = TRUE) +tg_O_catchment <- rast(file.path(hydroweight_dir, "tg_O_catchment.tif")) +tg_O_catchment <- as.polygons(tg_O_catchment, dissolve = TRUE) tg_O_catchment <- st_as_sf(tg_O_catchment) +names(tg_O_catchment)[1]<-"Lake" ## Generate target_S, tg_S, representing the stream network -tg_S <- raster(file.path(hydroweight_dir, "toy_dem_streams.tif")) +tg_S <- rast(file.path(hydroweight_dir, "toy_dem_streams.tif")) ## Generate target_O, tg_O, representing several points along stream network, and their catchments -tg_O_multi <- raster(file.path(hydroweight_dir, "toy_dem_streams.tif")) -tg_O_multi <- rasterToPoints(tg_O_multi, spatial = TRUE) +tg_O_multi <- rast(file.path(hydroweight_dir, "toy_dem_streams.tif")) +tg_O_multi <- as.points(tg_O_multi) tg_O_multi <- st_as_sf(tg_O_multi) tg_O_multi <- tg_O_multi[st_coordinates(tg_O_multi)[, 1] < 675000, ] # selects single network tg_O_multi <- tg_O_multi[c(10, 50, 100), ] tg_O_multi$Site <- c(1, 2, 3) +tg_O_multi<-tg_O_multi[,-c(1)] tg_O_multi_catchment <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - + ## Take individual stream point and write to file sel <- tg_O_multi[xx, ] st_write(sel, file.path(hydroweight_dir, "tg_O_multi_single.shp"), - delete_layer = TRUE, quiet = TRUE + delete_layer = TRUE, quiet = TRUE ) - + ## Run watershed operation on stream point wbt_watershed( d8_pntr = file.path(hydroweight_dir, "toy_dem_breached_d8.tif"), pour_pts = file.path(hydroweight_dir, "tg_O_multi_single.shp"), output = file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif") ) - + ## Load catchment and convert to polygon with Site code. - sel_catchment_r <- raster(file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif")) - sel_catchment_r <- rasterToPolygons(sel_catchment_r, dissolve = TRUE) + sel_catchment_r <- rast(file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif")) + sel_catchment_r <- as.polygons(sel_catchment_r, dissolve = TRUE) sel_catchment_r$Site <- sel$Site sel_catchment_r <- st_as_sf(sel_catchment_r) - + return(sel_catchment_r) } tg_O_multi_catchment <- bind_rows(tg_O_multi_catchment) @@ -352,23 +356,24 @@ text(6, 0.8, expression("(Distance + 1)"^-1), cex = 0.75) ``` r ## Run hydroweight::hydroweight() -hw_test_1 <- hydroweight::hydroweight( +hw_test_1 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_S = tg_S, target_uid = "Lake", - clip_region = NULL, + clip_region = tg_O_multi_catchment[1,1], OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" ), - inv_function = myinv + inv_function = myinv, + clean_tempfiles=F ) -#> Preparing hydroweight layers @ 2021-12-15 16:44:45 -#> Running distance-weighting @ 2021-12-15 16:44:49 + +hw_test_1<-lapply(hw_test_1,rast) ## Resultant structure: # length(hw_test_1) ## 1 set of targets and 7 distance-weighted rasters @@ -384,19 +389,11 @@ hw_test_1 <- hydroweight::hydroweight( # hw_test_1[["iEucO"]] etc. ## Plot different weighting schemes; where purple --> yellow == low --> high weight -par(mfrow = c(2, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -layout(matrix(c( - 1, 2, 3, 4, - 1, 5, 6, 7 -), nrow = 2, byrow = TRUE)) -plot(hw_test_1[[1]], main = "Lumped", axes = F, legend = F, box = FALSE, col = viridis(101)[101]) -plot(hw_test_1[[2]], main = "iEucO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(hw_test_1[[3]], main = "iFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(log(hw_test_1[[4]]), main = "HAiFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot.new() -plot(hw_test_1[[5]], main = "iEucS", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(hw_test_1[[6]], main = "iFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(log(hw_test_1[[7]]), main = "HAiFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) +hw_test_1$HAiFLO<-log(hw_test_1$HAiFLO) # These two weighting schemes can get vary high weights due to flow accumulation, +hw_test_1$HAiFLS<-log(hw_test_1$HAiFLS) # log transformation improves visualization + +plot(rast(c(hw_test_1[1:4],hw_test_1$lumped,hw_test_1[5:7])), + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) ``` @@ -407,47 +404,26 @@ Important things to note from this plot: - iEucO and iEucS distances extend outward to the extent of the DEM. - For iFLO/HAiFLO/iFLS/HAiFLS, only distances in cells contributing to the areas of interest are included. -- For iFLS/HAiFLS, all regions draining to *any* streams are included - (i.e., the streams to the east). These would be removed depending on - catchment boundaries of interest when using - `hydroweight::hydroweight_attributes()` - As in Peterson *et al.* (2011), for HAiFLS, the targets are set to NoData (i.e., NA) since they likely represent concentrated flow areas. -These temporary files are made per instance of -`hydroweight::hydroweight()`: - -``` r -list.files(hydroweight_dir)[grep("TEMP-", list.files(hydroweight_dir))] -#> [1] "TEMP-clip_region.dbf" "TEMP-clip_region.prj" -#> [3] "TEMP-clip_region.shp" "TEMP-clip_region.shx" -#> [5] "TEMP-clip_region.tif" "TEMP-cost_backlink.tif" -#> [7] "TEMP-cost_distance.tif" "TEMP-dem_clip.tif" -#> [9] "TEMP-flow_accum_clip.tif" "TEMP-flowdist.tif" -#> [11] "TEMP-HAiFLO.tif" "TEMP-HAiFLS.tif" -#> [13] "TEMP-iEucO.tif" "TEMP-iEucS.tif" -#> [15] "TEMP-iFLO.tif" "TEMP-iFLS.tif" -#> [17] "TEMP-lumped.tif" "TEMP-OS_combine.tif" -#> [19] "TEMP-target_O.dbf" "TEMP-target_O.prj" -#> [21] "TEMP-target_O.shp" "TEMP-target_O.shx" -#> [23] "TEMP-target_O_clip.tif" "TEMP-target_S_clip.tif" -``` - A few options to consider: ``` r ## Ignoring target_O -hw_test_2 <- hydroweight::hydroweight( +hw_test_2 <- hydroweight( hydroweight_dir = hydroweight_dir, target_S = tg_S, target_uid = "Lake", clip_region = NULL, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c("lumped", "iEucS", "iFLS", "HAiFLS"), inv_function = myinv ) + +hw_test_2<-lapply(hw_test_2,rast) ## Resultant structure: # length(hw_test_3) ## 1 set of targets and 4 distance-weighted rasters # hw_test_2[[1]] ## lumped @@ -456,15 +432,18 @@ hw_test_2 <- hydroweight::hydroweight( # hw_test_2[[4]] ## HAiFLS ## Ignoring target_S -hw_test_3 <- hydroweight::hydroweight( +hw_test_3 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_uid = "Lake", - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c("lumped", "iEucO", "iFLO", "HAiFLO"), inv_function = myinv ) + +hw_test_3<-lapply(hw_test_3,rast) + # length(hw_test_3) ## 1 set of targets and 4 distance-weighted rasters # hw_test_3[[1]] ## lumped # hw_test_3[[2]] ## iEucO @@ -472,15 +451,15 @@ hw_test_3 <- hydroweight::hydroweight( # hw_test_3[[4]] ## HAiFLO ## Setting a clip region -hw_test_4 <- hydroweight::hydroweight( +hw_test_4 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_S = tg_S, target_uid = "Lake", - clip_region = 8000, + clip_region = sf::st_buffer(tg_O,8000), OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -488,13 +467,17 @@ hw_test_4 <- hydroweight::hydroweight( inv_function = myinv ) +hw_test_4<-lapply(hw_test_4,rast) + ## Plot -par(mfrow = c(1, 1), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -plot(hw_test_1[[1]], main = "iEucO - 8000 m clip", axes = FALSE, legend = FALSE, box = FALSE, col = viridis(101)) -plot(hw_test_4[[2]], add = TRUE, axes = FALSE, legend = FALSE, box = FALSE, col = viridis(101)) +hw_test_4$HAiFLO<-log(hw_test_4$HAiFLO) # These two weighting schemes can get vary high weights due to flow accumulation, +hw_test_4$HAiFLS<-log(hw_test_4$HAiFLS) # log transformation improves visualization + +plot(rast(c(hw_test_4[1:4],hw_test_4$lumped,hw_test_4[5:7])), + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) ``` - + [Back to top](#contents) @@ -520,35 +503,30 @@ Since `hydroweight()` exports an `.rds` of its result to ## Run hydroweight across sites found in stream points tg_O_multi/tg_O_multi_catchment hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { message("Running hydroweight for site ", xx, " at ", Sys.time()) - - hw_test_xx <- hydroweight::hydroweight( + + hw_test_xx <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O_multi[xx, ], ## Important to change target_S = tg_S, target_uid = tg_O_multi$Site[xx], ## Important to change clip_region = NULL, OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" ), inv_function = myinv ) - + return(hw_test_xx) } -#> Running hydroweight for site 1 at 2021-12-15 16:45:23 -#> Preparing hydroweight layers @ 2021-12-15 16:45:23 -#> Running distance-weighting @ 2021-12-15 16:45:27 -#> Running hydroweight for site 2 at 2021-12-15 16:45:33 -#> Preparing hydroweight layers @ 2021-12-15 16:45:33 -#> Running distance-weighting @ 2021-12-15 16:45:36 -#> Running hydroweight for site 3 at 2021-12-15 16:45:43 -#> Preparing hydroweight layers @ 2021-12-15 16:45:43 -#> Running distance-weighting @ 2021-12-15 16:45:46 +#> Running hydroweight for site 1 at 2022-08-20 20:35:54 +#> Running hydroweight for site 2 at 2022-08-20 20:35:56 +#> Running hydroweight for site 3 at 2022-08-20 20:35:58 +hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## Resultant structure: ## length(hw_test_5) # 3 sites ## length(hw_test_5[[1]]) # 7 distance-weighted rasters for each site @@ -564,10 +542,14 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { ## ... ## hw_test_5[[3]][[7]] # site 3, HAiFLS -## Loading up data as if it were not originally assigned to object hw_test_5 -inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.rds")) -hw_test_5 <- lapply(inv_distance_collect, function(x) { - readRDS(x) +## Loading up data from .zip file +inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.zip")) +inv_distance_collect <- lapply(inv_distance_collect, function(x) { + fls<-unzip(x,list=T) + fls<-file.path("/vsizip",x,fls$Name) + x<-lapply(fls,terra::rast) + names(x)<-sapply(x,names) + return(x) }) ## Resultant structure: @@ -586,16 +568,17 @@ hw_test_5 <- lapply(inv_distance_collect, function(x) { ## hw_test_5[[3]][[7]] # site 3, HAiFLS ## Plot sites, their catchments, and their respective distance-weighted iFLO rasters + par(mfrow = c(1, 3), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 1 - iFLO") -plot(hw_test_5[[1]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[1]][[3]], axes = F, legend = F, col = viridis(101), add = T) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 2 - iFLO") -plot(hw_test_5[[2]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[2]][[3]], axes = F, legend = F, col = viridis(101), add = T) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 3 - iFLO") -plot(hw_test_5[[3]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[3]][[3]], axes = F, legend = F, col = viridis(101), add = T) ``` - + [Back to top](#contents) @@ -615,24 +598,24 @@ for deriving the catchment boundary for Site 3 is below. ## Pull out iFLO from Site 3, convert non-NA values to 1, then to polygons, then to sf site3_catchment <- hw_test_5[[3]][["iFLO"]] site3_catchment[!is.na(site3_catchment)] <- 1 -site3_catchment <- rasterToPolygons(site3_catchment, dissolve = T) +site3_catchment <- as.polygons(site3_catchment, dissolve = T) site3_catchment <- st_as_sf(site3_catchment) ## Compare par(mfrow = c(1, 3)) plot(st_geometry(tg_O_multi_catchment[3, ]), - col = adjustcolor("blue", alpha.f = 0.5), - main = "Site 3 catchment \n wbt_watershed-derived" + col = adjustcolor("blue", alpha.f = 0.5), + main = "Site 3 catchment \n wbt_watershed-derived" ) plot(st_geometry(site3_catchment), - col = adjustcolor("red", alpha.f = 0.5), - main = "Site 3 catchment \n hydroweight-derived" + col = adjustcolor("red", alpha.f = 0.5), + main = "Site 3 catchment \n hydroweight-derived" ) plot(st_geometry(site3_catchment), col = adjustcolor("blue", alpha.f = 0.5), main = "Overlap") plot(st_geometry(tg_O_multi_catchment[3, ]), col = adjustcolor("red", alpha.f = 0.5), main = "Overlap", add = T) ``` - + [Back to top](#contents) @@ -661,7 +644,7 @@ cells, ![w_i](https://latex.codecogs.com/png.latex?w_i "w_i") are the cell weights, and ![x_i](https://latex.codecogs.com/png.latex?x_i "x_i") are `loi` cell values, ![m](https://latex.codecogs.com/png.latex?m "m") is the number or non-zero weights, and -![\\bar{x}^\*](https://latex.codecogs.com/png.latex?%5Cbar%7Bx%7D%5E%2A "\bar{x}^*") +![\bar{x}^\*](https://latex.codecogs.com/png.latex?%5Cbar%7Bx%7D%5E%2A "\bar{x}^*") is the weighted mean. For categorical inputs, the proportion for each `roi`:`loi` combination is calculated using @@ -703,33 +686,46 @@ results are returned. ``` r ## Construct continuous dataset ndvi <- toy_dem -values(ndvi) <- runif(n = (ndvi@ncols * ndvi@nrows), min = 0, max = 1) +values(ndvi) <- runif(n = (dim(ndvi)[1] * dim(ndvi)[2]), min = 0, max = 1) names(ndvi) <- "ndvi" hwa_test_numeric <- hydroweight_attributes( - loi = ndvi, - loi_attr_col = "ndvi", + #loi = ndvi, + loi = rast(list(setNames(ndvi,"ndvi1"),setNames(ndvi,"ndvi2"))), + loi_columns=c("ndvi1","ndvi2"), loi_numeric = TRUE, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "cell_count"), roi = tg_O_catchment, roi_uid = "1", roi_uid_col = "Lake", - distance_weights = hw_test_1, + distance_weights = hw_test_1,#file.path(hydroweight_dir,"Lake_inv_distances.zip"), remove_region = tg_O, return_products = TRUE ) names(hwa_test_numeric$attribute_table) -#> [1] "Lake" "lumped_ndvi_mean" -#> [3] "lumped_ndvi_sd" "lumped_ndvi_median" -#> [5] "lumped_ndvi_min" "lumped_ndvi_max" -#> [7] "lumped_ndvi_cell_count" "lumped_ndvi_NA_cell_count" -#> [9] "lumped_ndvi_distwtd_mean" "lumped_ndvi_distwtd_sd" -#> [11] "iEucO_ndvi_distwtd_mean" "iEucO_ndvi_distwtd_sd" -#> [13] "iFLO_ndvi_distwtd_mean" "iFLO_ndvi_distwtd_sd" -#> [15] "HAiFLO_ndvi_distwtd_mean" "HAiFLO_ndvi_distwtd_sd" -#> [17] "iEucS_ndvi_distwtd_mean" "iEucS_ndvi_distwtd_sd" -#> [19] "iFLS_ndvi_distwtd_mean" "iFLS_ndvi_distwtd_sd" -#> [21] "HAiFLS_ndvi_distwtd_mean" "HAiFLS_ndvi_distwtd_sd" +#> [1] "Lake" "ndvi1_lumped_mean" +#> [3] "ndvi2_lumped_mean" "ndvi1_lumped_sd" +#> [5] "ndvi2_lumped_sd" "ndvi1_lumped_median" +#> [7] "ndvi2_lumped_median" "ndvi1_lumped_min" +#> [9] "ndvi2_lumped_min" "ndvi1_lumped_max" +#> [11] "ndvi2_lumped_max" "ndvi1_lumped_cell_count" +#> [13] "ndvi2_lumped_cell_count" "ndvi1_lumped_distwtd_mean" +#> [15] "ndvi2_lumped_distwtd_mean" "ndvi1_lumped_distwtd_sd" +#> [17] "ndvi2_lumped_distwtd_sd" "ndvi1_iEucO_distwtd_mean" +#> [19] "ndvi2_iEucO_distwtd_mean" "ndvi1_iEucO_distwtd_sd" +#> [21] "ndvi2_iEucO_distwtd_sd" "ndvi1_iFLO_distwtd_mean" +#> [23] "ndvi2_iFLO_distwtd_mean" "ndvi1_iFLO_distwtd_sd" +#> [25] "ndvi2_iFLO_distwtd_sd" "ndvi1_HAiFLO_distwtd_mean" +#> [27] "ndvi2_HAiFLO_distwtd_mean" "ndvi1_HAiFLO_distwtd_sd" +#> [29] "ndvi2_HAiFLO_distwtd_sd" "ndvi1_iEucS_distwtd_mean" +#> [31] "ndvi2_iEucS_distwtd_mean" "ndvi1_iEucS_distwtd_sd" +#> [33] "ndvi2_iEucS_distwtd_sd" "ndvi1_iFLS_distwtd_mean" +#> [35] "ndvi2_iFLS_distwtd_mean" "ndvi1_iFLS_distwtd_sd" +#> [37] "ndvi2_iFLS_distwtd_sd" "ndvi1_HAiFLS_distwtd_mean" +#> [39] "ndvi2_HAiFLS_distwtd_mean" "ndvi1_HAiFLS_distwtd_sd" +#> [41] "ndvi2_HAiFLS_distwtd_sd" + +hwa_test_numeric$return_products<-lapply(hwa_test_numeric$return_products,function(x) lapply(x,rast)) ## Resultant structure ## length(hw_test_numeric) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -745,17 +741,17 @@ names(hwa_test_numeric$attribute_table) ## Plot par(mfrow = c(1, 1)) -plot(ndvi, axes = F, legend = F, box = FALSE, col = viridis(101), main = "Toy NDVI") +plot(ndvi, axes = F, legend = F, col = viridis(101), main = "Toy NDVI") plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add = T) plot(st_geometry(tg_O), col = "red", add = T) plot(tg_S, col = "blue", add = T, legend = FALSE) legend("bottom", - legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), - fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 + legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), + fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 ) ``` - + ``` r ## Plot results @@ -763,24 +759,24 @@ par(mfrow = c(3, 2), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights") -plot(hwa_test_numeric$return_products$lumped$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE) +plot(hw_test_1$lumped, axes = F, legend = F, col = "yellow", add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$lumped$`loi_Raster*_bounded` * hwa_test_numeric$return_products$lumped$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], axes = F, legend = F, col = viridis(101), add = TRUE) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights") -plot(hwa_test_numeric$return_products$iEucO$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iEucO, axes = F, legend = F, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iEucO$`loi_Raster*_bounded` * hwa_test_numeric$return_products$iEucO$distance_weights_bounded, main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iEucO$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) ## iFLS plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights") -plot(hwa_test_numeric$return_products$iFLS$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iFLS, axes = F, legend = F, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iFLS$`loi_Raster*_bounded` * hwa_test_numeric$return_products$iFLS$distance_weights_bounded, main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iFLS$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) ``` - + [Back to top](#contents) @@ -799,12 +795,12 @@ results are returned. lulc <- toy_dem m <- c(0, 220, 1, 220, 300, 2, 300, 400, 3, 400, Inf, 4) rclmat <- matrix(m, ncol = 3, byrow = TRUE) -lulc <- reclassify(lulc, rclmat) +lulc <- classify(lulc, rclmat) +names(lulc)<-"lulc" ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc hwa_test_categorical <- hydroweight_attributes( - loi = lulc, - loi_attr_col = "lulc", + loi = rast(list(setNames(lulc,"lulc1"),setNames(lulc,"lulc2"))), loi_numeric = FALSE, roi = tg_O_catchment, roi_uid = "1", @@ -814,16 +810,27 @@ hwa_test_categorical <- hydroweight_attributes( return_products = TRUE ) names(hwa_test_categorical$attribute_table) -#> [1] "Lake" "lumped_lulc_prop_1" "lumped_lulc_prop_2" -#> [4] "lumped_lulc_prop_3" "lumped_lulc_prop_4" "iEucO_lulc_prop_1" -#> [7] "iEucO_lulc_prop_2" "iEucO_lulc_prop_3" "iEucO_lulc_prop_4" -#> [10] "iFLO_lulc_prop_1" "iFLO_lulc_prop_2" "iFLO_lulc_prop_3" -#> [13] "iFLO_lulc_prop_4" "HAiFLO_lulc_prop_1" "HAiFLO_lulc_prop_2" -#> [16] "HAiFLO_lulc_prop_3" "HAiFLO_lulc_prop_4" "iEucS_lulc_prop_1" -#> [19] "iEucS_lulc_prop_2" "iEucS_lulc_prop_3" "iEucS_lulc_prop_4" -#> [22] "iFLS_lulc_prop_1" "iFLS_lulc_prop_2" "iFLS_lulc_prop_3" -#> [25] "iFLS_lulc_prop_4" "HAiFLS_lulc_prop_1" "HAiFLS_lulc_prop_2" -#> [28] "HAiFLS_lulc_prop_3" "HAiFLS_lulc_prop_4" +#> [1] "Lake" "lulc1_1_lumped_prop" "lulc1_2_lumped_prop" +#> [4] "lulc1_3_lumped_prop" "lulc1_4_lumped_prop" "lulc2_1_lumped_prop" +#> [7] "lulc2_2_lumped_prop" "lulc2_3_lumped_prop" "lulc2_4_lumped_prop" +#> [10] "lulc1_1_iEucO_prop" "lulc1_2_iEucO_prop" "lulc1_3_iEucO_prop" +#> [13] "lulc1_4_iEucO_prop" "lulc2_1_iEucO_prop" "lulc2_2_iEucO_prop" +#> [16] "lulc2_3_iEucO_prop" "lulc2_4_iEucO_prop" "lulc1_1_iFLO_prop" +#> [19] "lulc1_2_iFLO_prop" "lulc1_3_iFLO_prop" "lulc1_4_iFLO_prop" +#> [22] "lulc2_1_iFLO_prop" "lulc2_2_iFLO_prop" "lulc2_3_iFLO_prop" +#> [25] "lulc2_4_iFLO_prop" "lulc1_1_HAiFLO_prop" "lulc1_2_HAiFLO_prop" +#> [28] "lulc1_3_HAiFLO_prop" "lulc1_4_HAiFLO_prop" "lulc2_1_HAiFLO_prop" +#> [31] "lulc2_2_HAiFLO_prop" "lulc2_3_HAiFLO_prop" "lulc2_4_HAiFLO_prop" +#> [34] "lulc1_1_iEucS_prop" "lulc1_2_iEucS_prop" "lulc1_3_iEucS_prop" +#> [37] "lulc1_4_iEucS_prop" "lulc2_1_iEucS_prop" "lulc2_2_iEucS_prop" +#> [40] "lulc2_3_iEucS_prop" "lulc2_4_iEucS_prop" "lulc1_1_iFLS_prop" +#> [43] "lulc1_2_iFLS_prop" "lulc1_3_iFLS_prop" "lulc1_4_iFLS_prop" +#> [46] "lulc2_1_iFLS_prop" "lulc2_2_iFLS_prop" "lulc2_3_iFLS_prop" +#> [49] "lulc2_4_iFLS_prop" "lulc1_1_HAiFLS_prop" "lulc1_2_HAiFLS_prop" +#> [52] "lulc1_3_HAiFLS_prop" "lulc1_4_HAiFLS_prop" "lulc2_1_HAiFLS_prop" +#> [55] "lulc2_2_HAiFLS_prop" "lulc2_3_HAiFLS_prop" "lulc2_4_HAiFLS_prop" + +hwa_test_categorical$return_products<-lapply(hwa_test_categorical$return_products,function(x) lapply(x,rast)) ## Resultant structure ## length(hw_test_categorical) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -839,17 +846,17 @@ names(hwa_test_categorical$attribute_table) ## Plot par(mfrow = c(1, 1)) -plot(lulc, axes = F, legend = F, box = FALSE, col = viridis(4), main = "Toy LULC") +plot(lulc, axes = F, legend = F, col = viridis(4), main = "Toy LULC") plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add = T) plot(tg_O, col = "red", add = T, legend = FALSE) plot(tg_S, col = "blue", add = T, legend = FALSE) legend("bottom", - legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), - fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 + legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), + fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 ) ``` - + ``` r ## Plot results @@ -857,69 +864,60 @@ par(mfrow = c(3, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0), cex = 0.75) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE +plot(hw_test_1$lumped, + axes = F, legend = F, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_4, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_3, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_2, + axes = F, legend = F, col = viridis(101), add = TRUE ) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE +plot(hw_test_1$iEucO, + axes = F, legend = F, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_4, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_3, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_2, + axes = F, legend = F, col = viridis(101), add = TRUE ) -## iFLO -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE +## iFLS +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS") +plot(hw_test_1$iFLS, + axes = F, legend = F, col = "yellow", add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 4)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_4, + axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 3)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_3, + axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 2)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_2, + axes = F, legend = F, col = viridis(101), add = TRUE ) ``` - + [Back to top](#contents) @@ -941,7 +939,7 @@ information indicating type of data and how results are returned. ``` r ## Construct polygons with numeric data by converting lulc to polygons and assigning values to columns -lulc_p <- rasterToPolygons(lulc, dissolve = T, na.rm = T) +lulc_p <- as.polygons(lulc, dissolve = T, na.rm = T) lulc_p <- st_as_sf(lulc_p) set.seed(123) @@ -952,7 +950,6 @@ lulc_p$var_2 <- sample(c(20:30), size = 4, replace = TRUE) ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc_p hwa_test_numeric_polygon <- hydroweight_attributes( loi = lulc_p, - loi_attr_col = "lulc", loi_columns = c("var_1", "var_2"), loi_numeric = TRUE, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "min", "max", "cell_count"), @@ -963,28 +960,29 @@ hwa_test_numeric_polygon <- hydroweight_attributes( remove_region = tg_O, return_products = TRUE ) +#> Warning in sqrt(unlist(term1)/unlist(term2)): NaNs produced names(hwa_test_numeric_polygon$attribute_table) -#> [1] "Lake" "lumped_lulc_var_1_mean" -#> [3] "lumped_lulc_var_2_mean" "lumped_lulc_var_1_sd" -#> [5] "lumped_lulc_var_2_sd" "lumped_lulc_var_1_min" -#> [7] "lumped_lulc_var_2_min" "lumped_lulc_var_1_max" -#> [9] "lumped_lulc_var_2_max" "lumped_lulc_var_1_cell_count" -#> [11] "lumped_lulc_var_2_cell_count" "lumped_lulc_var_1_NA_cell_count" -#> [13] "lumped_lulc_var_2_NA_cell_count" "lumped_lulc_var_1_distwtd_mean" -#> [15] "lumped_lulc_var_2_distwtd_mean" "lumped_lulc_var_1_distwtd_sd" -#> [17] "lumped_lulc_var_2_distwtd_sd" "iEucO_lulc_var_1_distwtd_mean" -#> [19] "iEucO_lulc_var_2_distwtd_mean" "iEucO_lulc_var_1_distwtd_sd" -#> [21] "iEucO_lulc_var_2_distwtd_sd" "iFLO_lulc_var_1_distwtd_mean" -#> [23] "iFLO_lulc_var_2_distwtd_mean" "iFLO_lulc_var_1_distwtd_sd" -#> [25] "iFLO_lulc_var_2_distwtd_sd" "HAiFLO_lulc_var_1_distwtd_mean" -#> [27] "HAiFLO_lulc_var_2_distwtd_mean" "HAiFLO_lulc_var_1_distwtd_sd" -#> [29] "HAiFLO_lulc_var_2_distwtd_sd" "iEucS_lulc_var_1_distwtd_mean" -#> [31] "iEucS_lulc_var_2_distwtd_mean" "iEucS_lulc_var_1_distwtd_sd" -#> [33] "iEucS_lulc_var_2_distwtd_sd" "iFLS_lulc_var_1_distwtd_mean" -#> [35] "iFLS_lulc_var_2_distwtd_mean" "iFLS_lulc_var_1_distwtd_sd" -#> [37] "iFLS_lulc_var_2_distwtd_sd" "HAiFLS_lulc_var_1_distwtd_mean" -#> [39] "HAiFLS_lulc_var_2_distwtd_mean" "HAiFLS_lulc_var_1_distwtd_sd" -#> [41] "HAiFLS_lulc_var_2_distwtd_sd" +#> [1] "Lake" "var_1_lumped_mean" +#> [3] "var_2_lumped_mean" "var_1_lumped_sd" +#> [5] "var_2_lumped_sd" "var_1_lumped_min" +#> [7] "var_2_lumped_min" "var_1_lumped_max" +#> [9] "var_2_lumped_max" "var_1_lumped_cell_count" +#> [11] "var_2_lumped_cell_count" "var_1_lumped_distwtd_mean" +#> [13] "var_2_lumped_distwtd_mean" "var_1_lumped_distwtd_sd" +#> [15] "var_2_lumped_distwtd_sd" "var_1_iEucO_distwtd_mean" +#> [17] "var_2_iEucO_distwtd_mean" "var_1_iEucO_distwtd_sd" +#> [19] "var_2_iEucO_distwtd_sd" "var_1_iFLO_distwtd_mean" +#> [21] "var_2_iFLO_distwtd_mean" "var_1_iFLO_distwtd_sd" +#> [23] "var_2_iFLO_distwtd_sd" "var_1_HAiFLO_distwtd_mean" +#> [25] "var_2_HAiFLO_distwtd_mean" "var_1_HAiFLO_distwtd_sd" +#> [27] "var_2_HAiFLO_distwtd_sd" "var_1_iEucS_distwtd_mean" +#> [29] "var_2_iEucS_distwtd_mean" "var_1_iEucS_distwtd_sd" +#> [31] "var_2_iEucS_distwtd_sd" "var_1_iFLS_distwtd_mean" +#> [33] "var_2_iFLS_distwtd_mean" "var_1_iFLS_distwtd_sd" +#> [35] "var_2_iFLS_distwtd_sd" "var_1_HAiFLS_distwtd_mean" +#> [37] "var_2_HAiFLS_distwtd_mean" "var_1_HAiFLS_distwtd_sd" +#> [39] "var_2_HAiFLS_distwtd_sd" +hwa_test_numeric_polygon$return_products<-lapply(hwa_test_numeric_polygon$return_products,function(x) lapply(x,rast)) ## Resultant structure ## length(hw_test_numeric_polygon) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -1010,7 +1008,7 @@ was summarized. ``` r ## Construct polygons with categorical data by converting lulc to polygons and assigning values to columns -lulc_p <- rasterToPolygons(lulc, dissolve = T, na.rm = T) +lulc_p <- as.polygons(lulc, dissolve = T, na.rm = T) lulc_p <- st_as_sf(lulc_p) set.seed(123) @@ -1021,7 +1019,6 @@ lulc_p$var_2 <- sample(c(20:30), size = 4, replace = TRUE) ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc_p hwa_test_categorical_polygon <- hydroweight_attributes( loi = lulc_p, - loi_attr_col = "lulc", loi_columns = c("var_1", "var_2"), loi_numeric = FALSE, roi = tg_O_catchment, @@ -1032,28 +1029,21 @@ hwa_test_categorical_polygon <- hydroweight_attributes( return_products = TRUE ) names(hwa_test_categorical_polygon$attribute_table) -#> [1] "Lake" "lumped_lulc_prop_var_1_3" -#> [3] "lumped_lulc_prop_var_1_10" "lumped_lulc_prop_var_1_2" -#> [5] "lumped_lulc_prop_var_2_22" "lumped_lulc_prop_var_2_29" -#> [7] "lumped_lulc_prop_var_2_21" "iEucO_lulc_prop_var_1_3" -#> [9] "iEucO_lulc_prop_var_1_10" "iEucO_lulc_prop_var_1_2" -#> [11] "iEucO_lulc_prop_var_2_22" "iEucO_lulc_prop_var_2_29" -#> [13] "iEucO_lulc_prop_var_2_21" "iFLO_lulc_prop_var_1_3" -#> [15] "iFLO_lulc_prop_var_1_10" "iFLO_lulc_prop_var_1_2" -#> [17] "iFLO_lulc_prop_var_2_22" "iFLO_lulc_prop_var_2_29" -#> [19] "iFLO_lulc_prop_var_2_21" "HAiFLO_lulc_prop_var_1_3" -#> [21] "HAiFLO_lulc_prop_var_1_10" "HAiFLO_lulc_prop_var_1_2" -#> [23] "HAiFLO_lulc_prop_var_2_22" "HAiFLO_lulc_prop_var_2_29" -#> [25] "HAiFLO_lulc_prop_var_2_21" "iEucS_lulc_prop_var_1_3" -#> [27] "iEucS_lulc_prop_var_1_10" "iEucS_lulc_prop_var_1_2" -#> [29] "iEucS_lulc_prop_var_2_22" "iEucS_lulc_prop_var_2_29" -#> [31] "iEucS_lulc_prop_var_2_21" "iFLS_lulc_prop_var_1_3" -#> [33] "iFLS_lulc_prop_var_1_10" "iFLS_lulc_prop_var_1_2" -#> [35] "iFLS_lulc_prop_var_2_22" "iFLS_lulc_prop_var_2_29" -#> [37] "iFLS_lulc_prop_var_2_21" "HAiFLS_lulc_prop_var_1_3" -#> [39] "HAiFLS_lulc_prop_var_1_10" "HAiFLS_lulc_prop_var_1_2" -#> [41] "HAiFLS_lulc_prop_var_2_22" "HAiFLS_lulc_prop_var_2_29" -#> [43] "HAiFLS_lulc_prop_var_2_21" +#> [1] "Lake" "var_1_2_lumped_prop" "var_1_3_lumped_prop" +#> [4] "var_1_10_lumped_prop" "var_2_21_lumped_prop" "var_2_22_lumped_prop" +#> [7] "var_2_29_lumped_prop" "var_1_2_iEucO_prop" "var_1_3_iEucO_prop" +#> [10] "var_1_10_iEucO_prop" "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" +#> [13] "var_2_29_iEucO_prop" "var_1_2_iFLO_prop" "var_1_3_iFLO_prop" +#> [16] "var_1_10_iFLO_prop" "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" +#> [19] "var_2_29_iFLO_prop" "var_1_2_HAiFLO_prop" "var_1_3_HAiFLO_prop" +#> [22] "var_1_10_HAiFLO_prop" "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" +#> [25] "var_2_29_HAiFLO_prop" "var_1_2_iEucS_prop" "var_1_3_iEucS_prop" +#> [28] "var_1_10_iEucS_prop" "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" +#> [31] "var_2_29_iEucS_prop" "var_1_2_iFLS_prop" "var_1_3_iFLS_prop" +#> [34] "var_1_10_iFLS_prop" "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" +#> [37] "var_2_29_iFLS_prop" "var_1_2_HAiFLS_prop" "var_1_3_HAiFLS_prop" +#> [40] "var_1_10_HAiFLS_prop" "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" +#> [43] "var_2_29_HAiFLS_prop" ## Resultant structure ## length(hw_test_categorical_polygon) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -1080,7 +1070,7 @@ layers of interest. The basic chain looks like this this: - For each site: Run `hydroweight()` - - For each layer of interest: Run `hydroweight_attributes()` +- For each layer of interest: Run `hydroweight_attributes()` Here, we try to make the code easier to troubleshoot rather than make it look pretty: @@ -1092,25 +1082,35 @@ look pretty: # tg_O_multi ## sites # tg_O_multi_catchment ## catchments -sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { +cl <- parallel::makeCluster(3) +doParallel::registerDoParallel(cl) +sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { #note other parallel backends work as well (i.e., future.apply) + #when running in with foreach parallel, must specify libraries in function call + require(sf) + require(terra) + require(hydroweight) + ## Distance-weighted raster component message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") - + ## Select individual sites and catchments sel <- tg_O_multi[xx, ] + write_sf(sel,file.path(hydroweight_dir,paste0("Site_",sel$Site,".shp"))) #parallel execution is best done with file paths rather than objects + sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) - + write_sf(sel_roi,file.path(hydroweight_dir,paste0("ROI_",sel$Site,".shp"))) #parallel execution is best done with file paths rather than objects + ## Run hydroweight - site_weights <- hydroweight::hydroweight( + site_weights <- hydroweight( hydroweight_dir = hydroweight_dir, - target_O = sel, ## Important to change - target_S = tg_S, + target_O = file.path(hydroweight_dir,paste0("Site_",sel$Site,".shp")), ## Important to change + target_S = file.path(hydroweight_dir, "toy_dem_streams.tif"), target_uid = sel$Site[xx], ## Important to change - clip_region = NULL, + clip_region =file.path(hydroweight_dir,paste0("ROI_",sel$Site,".shp")), OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -1118,6 +1118,9 @@ sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% inv_function = myinv ) } + +parallel::stopCluster(cl) + names(sites_weights) <- tg_O_multi$Site ## Resultant structure: @@ -1167,64 +1170,124 @@ loi_lulc_p_c <- list( ## These are combined into a list of lists loi_variable <- list(loi_ndvi, loi_lulc, loi_lulc_p_n, loi_lulc_p_c) + + +# To save processing time, convert all inputs into rasters matching DEM +## Numeric Rasters +numeric_rasts<-loi_variable[sapply(loi_variable,function(x) x$loi_numeric)] +numeric_rasts<-lapply(numeric_rasts,function(x) + process_input(input=x$loi, + target=file.path(hydroweight_dir,"toy_dem_breached.tif"), + variable_names=x$loi_columns, + resample_type="bilinear")) +numeric_rasts<-rast(numeric_rasts) +writeRaster(numeric_rasts,file.path(hydroweight_dir,"numeric_rasters.tif"),overwrite=T) + +## Categorical Rasters +cat_rasts<-loi_variable[sapply(loi_variable,function(x) !x$loi_numeric)] +cat_rasts<-lapply(cat_rasts,function(x) + process_input(input=x$loi, + target=file.path(hydroweight_dir,"toy_dem_breached.tif"), + variable_names=x$loi_columns, + resample_type="near")) +cat_rasts<-rast(cat_rasts) +writeRaster(cat_rasts,file.path(hydroweight_dir,"cat_rasters.tif"),overwrite=T) + +# Combine into final loi variables +## loi is specified as a file path to allow parallel processing +## to pass loi as an in memory raster for parallel processing, use terra::wrap() (note this can be inefficient for large raster) +## if not using parallel processing, loi can be given as an in memory raster object (terra or raster) +loi_variable_final<-list( + numeric=list( + loi = file.path(hydroweight_dir,"numeric_rasters.tif"), + loi_numeric = TRUE, + loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "min", "max") + ), + categorical=list( + loi = file.path(hydroweight_dir,"cat_rasters.tif"), + loi_numeric = FALSE + ) +) ``` ### 5.3 Run `hydroweight_attributes()` across sites and layers +For efficiency, combine all numerical layers and all categorical layers +together + ``` r -sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - ## Distance-weighted raster component - message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") +library(future.apply) - ## Select individual sites, catchments, and weights - sel <- tg_O_multi[xx, ] - sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) - sel_weights <- sites_weights[[sel$Site]] +availableCores() +#> system +#> 16 + +plan(list( #nested loop - note can be memory intensive + tweak(multisession, workers = 3)), # split site processing across 3 cores + tweak(multisession, workers = 2) # split loi processing across 2 cores +) + +sites_attributes_products<-future_lapply(split(tg_O_multi_catchment,tg_O_multi_catchment$Site), function(xx){ + write_sf(xx,file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp"))) + ## Consistent arguments to hydroweight_attributes, not loi-specific. See ?hydroweight_attributes loi_consist <- list( - roi = sel_roi, - distance_weights = sel_weights, + roi = file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp")), + distance_weights = file.path(hydroweight_dir,paste0(xx$Site,"_inv_distances.zip")), remove_region = NULL, - return_products = TRUE, - roi_uid = sel$Site, + return_products = TRUE, #set this to FALSE to decrease memory and space requirement + roi_uid = xx$Site, roi_uid_col = "Site" ) - - ## For each loi, - sel_layers_hwa <- foreach(yy = 1:length(loi_variable), .errorhandling = "pass") %do% { - + + future_lapply(loi_variable_final, function(yy) { ## Combine loi_variable[[y]] with loi_consist - loi_combined <- c(loi_variable[[yy]], loi_consist) - + loi_combined <- c(yy, loi_consist) + ## Run hydroweight_attributes using arguments in loi_combined - loi_output <- do.call(hydroweight::hydroweight_attributes, loi_combined) + do.call(hydroweight_attributes, loi_combined) + }) + +}) - return(loi_output) - } - return(sel_layers_hwa) -} - -length(sites_attributes_products) ## List of results; one list per site -#> [1] 3 -length(sites_attributes_products[[1]]) ## List of results for site 1; one list of results per loi -#> [1] 4 -length(sites_attributes_products[[1]][[1]]) ## List of results for site 1 and loi 1 -#> [1] 2 +names(sites_attributes_products) ## List of results; one list per site +#> [1] "1" "2" "3" +names(sites_attributes_products[[1]]) ## List of results for site 1; one list of results per loi +#> [1] "numeric" "categorical" +names(sites_attributes_products[[1]][[1]]) ## List of results for site 1 and loi 1 +#> [1] "attribute_table" "return_products" names(sites_attributes_products[[1]][[1]]$attribute_table) ## Attribute table for site 1 and loi 1 -#> [1] "Site" "lumped_ndvi_mean" -#> [3] "lumped_ndvi_sd" "lumped_ndvi_min" -#> [5] "lumped_ndvi_max" "lumped_ndvi_cell_count" -#> [7] "lumped_ndvi_NA_cell_count" "lumped_ndvi_distwtd_mean" -#> [9] "lumped_ndvi_distwtd_sd" "iEucO_ndvi_distwtd_mean" -#> [11] "iEucO_ndvi_distwtd_sd" "iFLO_ndvi_distwtd_mean" -#> [13] "iFLO_ndvi_distwtd_sd" "HAiFLO_ndvi_distwtd_mean" -#> [15] "HAiFLO_ndvi_distwtd_sd" "iEucS_ndvi_distwtd_mean" -#> [17] "iEucS_ndvi_distwtd_sd" "iFLS_ndvi_distwtd_mean" -#> [19] "iFLS_ndvi_distwtd_sd" "HAiFLS_ndvi_distwtd_mean" -#> [21] "HAiFLS_ndvi_distwtd_sd" +#> [1] "Site" "ndvi_lumped_mean" +#> [3] "var_1_lumped_mean" "var_2_lumped_mean" +#> [5] "ndvi_lumped_sd" "var_1_lumped_sd" +#> [7] "var_2_lumped_sd" "ndvi_lumped_min" +#> [9] "var_1_lumped_min" "var_2_lumped_min" +#> [11] "ndvi_lumped_max" "var_1_lumped_max" +#> [13] "var_2_lumped_max" "ndvi_lumped_distwtd_mean" +#> [15] "var_1_lumped_distwtd_mean" "var_2_lumped_distwtd_mean" +#> [17] "ndvi_lumped_distwtd_sd" "var_1_lumped_distwtd_sd" +#> [19] "var_2_lumped_distwtd_sd" "ndvi_iEucO_distwtd_mean" +#> [21] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" +#> [23] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" +#> [25] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" +#> [27] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" +#> [29] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" +#> [31] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" +#> [33] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" +#> [35] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" +#> [37] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" +#> [39] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" +#> [41] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" +#> [43] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" +#> [45] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" +#> [47] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" +#> [49] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" +#> [51] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" +#> [53] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" +#> [55] "var_2_HAiFLS_distwtd_sd" names(sites_attributes_products[[1]][[1]]$return_products) ## Return products for site 1 and loi 1 per distance-weighted raster #> [1] "lumped" "iEucO" "iFLO" "HAiFLO" "iEucS" "iFLS" "HAiFLS" ``` @@ -1232,98 +1295,86 @@ names(sites_attributes_products[[1]][[1]]$return_products) ## Return products fo ### 5.4 Extract and adjust results data frames ``` r -sites_attributes_list <- foreach(xx = 1:length(sites_attributes_products), .errorhandling = "pass") %do% { - - ## Selects an individual site - sel_site <- sites_attributes_products[[xx]] - - ## Selects distance-weighted raster results set - site_stats <- foreach(yy = 1:length(sel_site), .errorhandling = "pass") %do% { - sel_site[[yy]]$attribute_table - } - ## Merges the distance-weighted raster-specific datasets - site_stats <- Reduce(merge, site_stats) - - return(site_stats) -} +require(tidyverse) -## Bind rows -sites_attributes_df <- bind_rows(sites_attributes_list) +sites_attributes_df<-map_dfr(sites_attributes_products, #rbind sites + ~map(.,~as_tibble(.$attribute_table)) %>% + reduce(left_join) # join numeric and categorical summaries +) ## If a raster category was missing in a site's catchment but was present in another site's, -## that record would be filled with NA according to bind_rows. Need to fix this. +## that record would be filled with NA according to left_join. Need to fix this. ## This is only true for columns containing "prop". -sites_attributes_df[, grep("prop", colnames(sites_attributes_df))][is.na(sites_attributes_df[, grep("prop", colnames(sites_attributes_df))])] <- 0 + +sites_attributes_df <- sites_attributes_df %>% + mutate(across(ends_with("_prop"),~if_else(is.na(.),0,.))) ## Final data frame colnames(sites_attributes_df) -#> [1] "Site" "lumped_ndvi_mean" -#> [3] "lumped_ndvi_sd" "lumped_ndvi_min" -#> [5] "lumped_ndvi_max" "lumped_ndvi_cell_count" -#> [7] "lumped_ndvi_NA_cell_count" "lumped_ndvi_distwtd_mean" -#> [9] "lumped_ndvi_distwtd_sd" "iEucO_ndvi_distwtd_mean" -#> [11] "iEucO_ndvi_distwtd_sd" "iFLO_ndvi_distwtd_mean" -#> [13] "iFLO_ndvi_distwtd_sd" "HAiFLO_ndvi_distwtd_mean" -#> [15] "HAiFLO_ndvi_distwtd_sd" "iEucS_ndvi_distwtd_mean" -#> [17] "iEucS_ndvi_distwtd_sd" "iFLS_ndvi_distwtd_mean" -#> [19] "iFLS_ndvi_distwtd_sd" "HAiFLS_ndvi_distwtd_mean" -#> [21] "HAiFLS_ndvi_distwtd_sd" "lumped_lulc_prop_1" -#> [23] "lumped_lulc_prop_2" "lumped_lulc_prop_3" -#> [25] "lumped_lulc_prop_4" "iEucO_lulc_prop_1" -#> [27] "iEucO_lulc_prop_2" "iEucO_lulc_prop_3" -#> [29] "iEucO_lulc_prop_4" "iFLO_lulc_prop_1" -#> [31] "iFLO_lulc_prop_2" "iFLO_lulc_prop_3" -#> [33] "iFLO_lulc_prop_4" "HAiFLO_lulc_prop_1" -#> [35] "HAiFLO_lulc_prop_2" "HAiFLO_lulc_prop_3" -#> [37] "HAiFLO_lulc_prop_4" "iEucS_lulc_prop_1" -#> [39] "iEucS_lulc_prop_2" "iEucS_lulc_prop_3" -#> [41] "iEucS_lulc_prop_4" "iFLS_lulc_prop_1" -#> [43] "iFLS_lulc_prop_2" "iFLS_lulc_prop_3" -#> [45] "iFLS_lulc_prop_4" "HAiFLS_lulc_prop_1" -#> [47] "HAiFLS_lulc_prop_2" "HAiFLS_lulc_prop_3" -#> [49] "HAiFLS_lulc_prop_4" "lumped_lulc_var_1_mean" -#> [51] "lumped_lulc_var_2_mean" "lumped_lulc_var_1_sd" -#> [53] "lumped_lulc_var_2_sd" "lumped_lulc_var_1_min" -#> [55] "lumped_lulc_var_2_min" "lumped_lulc_var_1_max" -#> [57] "lumped_lulc_var_2_max" "lumped_lulc_var_1_cell_count" -#> [59] "lumped_lulc_var_2_cell_count" "lumped_lulc_var_1_NA_cell_count" -#> [61] "lumped_lulc_var_2_NA_cell_count" "lumped_lulc_var_1_distwtd_mean" -#> [63] "lumped_lulc_var_2_distwtd_mean" "lumped_lulc_var_1_distwtd_sd" -#> [65] "lumped_lulc_var_2_distwtd_sd" "iEucO_lulc_var_1_distwtd_mean" -#> [67] "iEucO_lulc_var_2_distwtd_mean" "iEucO_lulc_var_1_distwtd_sd" -#> [69] "iEucO_lulc_var_2_distwtd_sd" "iFLO_lulc_var_1_distwtd_mean" -#> [71] "iFLO_lulc_var_2_distwtd_mean" "iFLO_lulc_var_1_distwtd_sd" -#> [73] "iFLO_lulc_var_2_distwtd_sd" "HAiFLO_lulc_var_1_distwtd_mean" -#> [75] "HAiFLO_lulc_var_2_distwtd_mean" "HAiFLO_lulc_var_1_distwtd_sd" -#> [77] "HAiFLO_lulc_var_2_distwtd_sd" "iEucS_lulc_var_1_distwtd_mean" -#> [79] "iEucS_lulc_var_2_distwtd_mean" "iEucS_lulc_var_1_distwtd_sd" -#> [81] "iEucS_lulc_var_2_distwtd_sd" "iFLS_lulc_var_1_distwtd_mean" -#> [83] "iFLS_lulc_var_2_distwtd_mean" "iFLS_lulc_var_1_distwtd_sd" -#> [85] "iFLS_lulc_var_2_distwtd_sd" "HAiFLS_lulc_var_1_distwtd_mean" -#> [87] "HAiFLS_lulc_var_2_distwtd_mean" "HAiFLS_lulc_var_1_distwtd_sd" -#> [89] "HAiFLS_lulc_var_2_distwtd_sd" "lumped_lulc_prop_var_1_3" -#> [91] "lumped_lulc_prop_var_1_10" "lumped_lulc_prop_var_1_2" -#> [93] "lumped_lulc_prop_var_2_22" "lumped_lulc_prop_var_2_29" -#> [95] "lumped_lulc_prop_var_2_21" "iEucO_lulc_prop_var_1_3" -#> [97] "iEucO_lulc_prop_var_1_10" "iEucO_lulc_prop_var_1_2" -#> [99] "iEucO_lulc_prop_var_2_22" "iEucO_lulc_prop_var_2_29" -#> [101] "iEucO_lulc_prop_var_2_21" "iFLO_lulc_prop_var_1_3" -#> [103] "iFLO_lulc_prop_var_1_10" "iFLO_lulc_prop_var_1_2" -#> [105] "iFLO_lulc_prop_var_2_22" "iFLO_lulc_prop_var_2_29" -#> [107] "iFLO_lulc_prop_var_2_21" "HAiFLO_lulc_prop_var_1_3" -#> [109] "HAiFLO_lulc_prop_var_1_10" "HAiFLO_lulc_prop_var_1_2" -#> [111] "HAiFLO_lulc_prop_var_2_22" "HAiFLO_lulc_prop_var_2_29" -#> [113] "HAiFLO_lulc_prop_var_2_21" "iEucS_lulc_prop_var_1_3" -#> [115] "iEucS_lulc_prop_var_1_10" "iEucS_lulc_prop_var_1_2" -#> [117] "iEucS_lulc_prop_var_2_22" "iEucS_lulc_prop_var_2_29" -#> [119] "iEucS_lulc_prop_var_2_21" "iFLS_lulc_prop_var_1_3" -#> [121] "iFLS_lulc_prop_var_1_10" "iFLS_lulc_prop_var_1_2" -#> [123] "iFLS_lulc_prop_var_2_22" "iFLS_lulc_prop_var_2_29" -#> [125] "iFLS_lulc_prop_var_2_21" "HAiFLS_lulc_prop_var_1_3" -#> [127] "HAiFLS_lulc_prop_var_1_10" "HAiFLS_lulc_prop_var_1_2" -#> [129] "HAiFLS_lulc_prop_var_2_22" "HAiFLS_lulc_prop_var_2_29" -#> [131] "HAiFLS_lulc_prop_var_2_21" +#> [1] "Site" "ndvi_lumped_mean" +#> [3] "var_1_lumped_mean" "var_2_lumped_mean" +#> [5] "ndvi_lumped_sd" "var_1_lumped_sd" +#> [7] "var_2_lumped_sd" "ndvi_lumped_min" +#> [9] "var_1_lumped_min" "var_2_lumped_min" +#> [11] "ndvi_lumped_max" "var_1_lumped_max" +#> [13] "var_2_lumped_max" "ndvi_lumped_distwtd_mean" +#> [15] "var_1_lumped_distwtd_mean" "var_2_lumped_distwtd_mean" +#> [17] "ndvi_lumped_distwtd_sd" "var_1_lumped_distwtd_sd" +#> [19] "var_2_lumped_distwtd_sd" "ndvi_iEucO_distwtd_mean" +#> [21] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" +#> [23] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" +#> [25] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" +#> [27] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" +#> [29] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" +#> [31] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" +#> [33] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" +#> [35] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" +#> [37] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" +#> [39] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" +#> [41] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" +#> [43] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" +#> [45] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" +#> [47] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" +#> [49] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" +#> [51] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" +#> [53] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" +#> [55] "var_2_HAiFLS_distwtd_sd" "lulc_1_lumped_prop" +#> [57] "lulc_2_lumped_prop" "lulc_3_lumped_prop" +#> [59] "lulc_4_lumped_prop" "var_1_2_lumped_prop" +#> [61] "var_1_3_lumped_prop" "var_1_10_lumped_prop" +#> [63] "var_2_21_lumped_prop" "var_2_22_lumped_prop" +#> [65] "var_2_29_lumped_prop" "lulc_1_iEucO_prop" +#> [67] "lulc_2_iEucO_prop" "lulc_3_iEucO_prop" +#> [69] "lulc_4_iEucO_prop" "var_1_2_iEucO_prop" +#> [71] "var_1_3_iEucO_prop" "var_1_10_iEucO_prop" +#> [73] "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" +#> [75] "var_2_29_iEucO_prop" "lulc_1_iFLO_prop" +#> [77] "lulc_2_iFLO_prop" "lulc_3_iFLO_prop" +#> [79] "lulc_4_iFLO_prop" "var_1_2_iFLO_prop" +#> [81] "var_1_3_iFLO_prop" "var_1_10_iFLO_prop" +#> [83] "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" +#> [85] "var_2_29_iFLO_prop" "lulc_1_HAiFLO_prop" +#> [87] "lulc_2_HAiFLO_prop" "lulc_3_HAiFLO_prop" +#> [89] "lulc_4_HAiFLO_prop" "var_1_2_HAiFLO_prop" +#> [91] "var_1_3_HAiFLO_prop" "var_1_10_HAiFLO_prop" +#> [93] "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" +#> [95] "var_2_29_HAiFLO_prop" "lulc_1_iEucS_prop" +#> [97] "lulc_2_iEucS_prop" "lulc_3_iEucS_prop" +#> [99] "lulc_4_iEucS_prop" "var_1_2_iEucS_prop" +#> [101] "var_1_3_iEucS_prop" "var_1_10_iEucS_prop" +#> [103] "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" +#> [105] "var_2_29_iEucS_prop" "lulc_1_iFLS_prop" +#> [107] "lulc_2_iFLS_prop" "lulc_3_iFLS_prop" +#> [109] "lulc_4_iFLS_prop" "var_1_2_iFLS_prop" +#> [111] "var_1_3_iFLS_prop" "var_1_10_iFLS_prop" +#> [113] "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" +#> [115] "var_2_29_iFLS_prop" "lulc_1_HAiFLS_prop" +#> [117] "lulc_2_HAiFLS_prop" "lulc_3_HAiFLS_prop" +#> [119] "lulc_4_HAiFLS_prop" "var_1_2_HAiFLS_prop" +#> [121] "var_1_3_HAiFLS_prop" "var_1_10_HAiFLS_prop" +#> [123] "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" +#> [125] "var_2_29_HAiFLS_prop" ``` Now - like any good environmental scientist - you have more variables @@ -1331,7 +1382,21 @@ and/or metrics than sites. [Back to top](#contents) -## 6.0 Future plans +## 6.0 Processing large amounts of data + +Processing large amounts of data (both in number of predictor variables +and sites) can be challenging. The fastest method depends on the size of +the region, the spatial resolution, numbers of predictors and sites, and +available memory. + +``` r + +# Coming soon!!! +``` + +[Back to top](#contents) + +## 7.0 Future plans This package was implemented to mostly serve our purposes and is functional enough. There is probably lots of room for improvement that @@ -1349,7 +1414,7 @@ The core functions should stay the same but we would like to: [Back to top](#contents) -## 7.0 Acknowledgements +## 8.0 Acknowledgements Thank you to for early review/testing (alphabetical order): @@ -1362,7 +1427,7 @@ Engineering Research Council of Canada Strategic Partnership Grant [Back to top](#contents) -## 8.0 References +## 9.0 References Kielstra, B. W., Chau, J., & Richardson, J. S. (2019). Measuring function and structure of urban headwater streams with citizen @@ -1398,7 +1463,7 @@ Wu, Q. (2020). whitebox: ‘WhiteboxTools’ R Frontend. R package version [Back to top](#contents) -## 9.0 Copyright +## 10.0 Copyright Copyright (C) 2021 Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada diff --git a/man/figures/README-unnamed-chunk-10-1.png b/man/figures/README-unnamed-chunk-10-1.png index a08f25a826235de5bc508e0ca1074f18224e1253..dbb3483074c507dcde0f0bf360a3ed2e68e1f27a 100644 GIT binary patch literal 169759 zcmc$ERa9I}5M~Gt!QDN$1cF;|3l>6fhv4p>;64yE!6iU&cbK3<(BK1u6Lf%K(7}e~ zUwPk`J^OIaz1^q#wpDdief7obXsO`gP~*IK@d8gxRq?}%7cbxa_h7wz@#4i1Ld)v; zh3%ngMNOG)&{$qZkltvd>P?_6%2THtu+M$1T^@`oXjB|R-ljD07>@! z)%`Iw{KAXgMY?$9(g;SZh@xNdkU2c8|31SNu^RrXQNuwYN0TFbtH$*Ezv|bVXoiGn za(`K)U*JBMf0Pkg$~~9UNni3jcXRkA{{{WItoh;pQRfFdJ$6N861Lvcbj50DLPUJ2 zfA}qES|n&-KEfR)6lC4ckhceclxrc<-7)&Zd!A=^CYlt;L7l8zIzx7oWIZp5AALk%bzd?li=`}kx`8hYjo#J`zNCKR4tvrFd+`hgUk_vK!Tll7^bVPV( zx98oi|3h-!=o?Uq{oOWM_=m{o2OK2yzwHYL&ttEF%w-(wIk`(_$n>=QZo#J{90jo95f4tDrMH5R!c$J-vyEG6jsUPeEf(VG?PZLe+Fk3e9s5*P)a>_Sl~SJFTA1| 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+13,11 @@ hydroweight( clip_region = NULL, dem, flow_accum = NULL, - weighting_scheme = NULL, + weighting_scheme = c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS"), inv_function = function(x) { (x * 0.001 + 1)^-1 }, + return_products = T, clean_tempfiles = T ) } diff --git a/man/hydroweight_attributes.Rd b/man/hydroweight_attributes.Rd index 056fe22..0a69c0b 100644 --- a/man/hydroweight_attributes.Rd +++ b/man/hydroweight_attributes.Rd @@ -6,7 +6,6 @@ \usage{ hydroweight_attributes( loi, - loi_attr_col = NULL, loi_columns = NULL, loi_numeric, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", @@ -22,8 +21,6 @@ hydroweight_attributes( \arguments{ \item{loi}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Layer of interest (e.g., land use layer).} -\item{loi_attr_col}{character. A name that will precede the calculated attributes (e.g., loi_mean, loi_median etc.) (Depreciated, names taken from loi_columns now)} - \item{loi_columns}{character. The column names over which to summarize the attributes.} \item{loi_numeric}{logical. If \code{TRUE}, the \code{loi_columns} being summarized are numeric. If \code{FALSE}, the \code{loi_columns} being summarized are categorical.} From 05f69ba48b8e311159c113b95937e8b6d6af72c3 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Sun, 21 Aug 2022 20:40:49 -0400 Subject: [PATCH 65/85] dont break this time --- R/{hydroweight_uitility.R => process_input.R} | 0 README.Rmd | 1 + README.md | 929 ++++++++++-------- man/process_input.Rd | 2 +- settings.json | 2 +- 5 files changed, 506 insertions(+), 428 deletions(-) rename R/{hydroweight_uitility.R => process_input.R} (100%) diff --git a/R/hydroweight_uitility.R b/R/process_input.R similarity index 100% rename from R/hydroweight_uitility.R rename to R/process_input.R diff --git a/README.Rmd b/README.Rmd index f548a73..93308ad 100644 --- a/README.Rmd +++ b/README.Rmd @@ -181,6 +181,7 @@ library(terra) library(sf) library(viridis) library(whitebox) +library(mapview) ## Import toy_dem from whitebox package toy_file<-sample_dem_data() diff --git a/README.md b/README.md index 4dedebf..2606bed 100644 --- a/README.md +++ b/README.md @@ -12,41 +12,39 @@ hydroweight: Inverse distance-weighted rasters and landscape attributes installation](#20-system-setup-and-installation) - [3.0 Inverse distance-weighted rasters using `hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) - - [3.1 Generate toy terrain - dataset](#31-generate-toy-terrain-dataset) - - [3.2 Generate targets](#32-generate-targets) - - [3.3 Run `hydroweight()`](#33-run-hydroweight) - - [3.4 Run `hydroweight()` across a set of - sites](#34-run-hydroweight-across-a-set-of-sites) - - [3.5 Using `iFLO` output as catchment boundaries for - `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) +- [3.1 Generate toy terrain dataset](#31-generate-toy-terrain-dataset) +- [3.2 Generate targets](#32-generate-targets) +- [3.3 Run `hydroweight()`](#33-run-hydroweight) +- [3.4 Run `hydroweight()` across a set of + sites](#34-run-hydroweight-across-a-set-of-sites) +- [3.5 Using `iFLO` output as catchment boundaries for + `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) - [4.0 Inverse distance-weighted rasters using `hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) - - [4.1 Using a numeric raster layer of - interest](#41-using-a-numeric-raster-layer-of-interest) - - [4.2 Using a categorical raster layer of - interest](#42-using-a-categorical-raster-layer-of-interest) - - [4.3 Using a polygon layer of interest with numeric data in the - column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) - - [4.4 Using a polygon layer of interest with categorical data in - the - column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) +- [4.1 Using a numeric raster layer of + interest](#41-using-a-numeric-raster-layer-of-interest) +- [4.2 Using a categorical raster layer of + interest](#42-using-a-categorical-raster-layer-of-interest) +- [4.3 Using a polygon layer of interest with numeric data in the + column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) +- [4.4 Using a polygon layer of interest with categorical data in the + column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) - [5.0 Inverse distance-weighted rasters and attributes across multiple layers and sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) - - [5.1 Run hydroweight across - sites](#51-Run-hydroweight-across-sites) - - [5.2 Generate `loi` lists populated with - `hydroweight_attributes()` - parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) - - [5.3 Run `hydroweight_attributes()` across sites and - layers](#53-run-hydroweight_attributes-across-sites-and-layers) - - [5.4 Extract and adjust results data - frames](#54-extract-and-adjust-results-data-frames) -- [6.0 Future plans](#60-future-plans) -- [7.0 Acknowledgements](#70-acknowledgements) -- [8.0 References](#80-references) -- [9.0 Copyright](#90-copyright) +- [5.1 Run hydroweight across sites](#51-Run-hydroweight-across-sites) +- [5.2 Generate `loi` lists populated with `hydroweight_attributes()` + parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) +- [5.3 Run `hydroweight_attributes()` across sites and + layers](#53-run-hydroweight_attributes-across-sites-and-layers) +- [5.4 Extract and adjust results data + frames](#54-extract-and-adjust-results-data-frames) +- [6.0 Processing large amounts of + data](#60-Processing-large-amounts-of-data) +- [7.0 Future plans](#70-future-plans) +- [8.0 Acknowledgements](#80-acknowledgements) +- [9.0 References](#90-references) +- [10.0 Copyright](#100-copyright) ## 1.0 Introduction @@ -132,31 +130,33 @@ installation. ## Follow instructions for whitebox installation accordingly ## devtools::install_github("giswqs/whiteboxR") # For development version ## whitebox is now available on CRAN -install.packages("whitebox") +#install.packages("whitebox") library(whitebox) -install_whitebox() -## Possible warning message: -## ------------------------------------------------------------------------ -## Could not find WhiteboxTools! -## ------------------------------------------------------------------------ -## -## Your next step is to download and install the WhiteboxTools binary: -## > whitebox::install_whitebox() -## -## If you have WhiteboxTools installed already run `wbt_init(exe_path=...)`': -## > wbt_init(exe_path='/home/user/path/to/whitebox_tools') -## -## For whitebox package documentation, ask for help: -## > ??whitebox -## -## For more information visit https://giswqs.github.io/whiteboxR/ -## -## ------------------------------------------------------------------------ +if (F){ + install_whitebox() + # Possible warning message: + # ------------------------------------------------------------------------ + # Could not find WhiteboxTools! + # ------------------------------------------------------------------------ + # + # Your next step is to download and install the WhiteboxTools binary: + # > whitebox::install_whitebox() + # + # If you have WhiteboxTools installed already run `wbt_init(exe_path=...)`': + # > wbt_init(exe_path='/home/user/path/to/whitebox_tools') + # + # For whitebox package documentation, ask for help: + # > ??whitebox + # + # For more information visit https://giswqs.github.io/whiteboxR/ + # + # ------------------------------------------------------------------------ +} ## Install current version of hydroweight -devtools::install_github("bkielstr/hydroweight@main") +#devtools::install_github("bkielstr/hydroweight@main") ``` [Back to top](#contents) @@ -172,16 +172,19 @@ generate terrain products. ## Load libraries library(dplyr) library(foreach) +library(future.apply) library(hydroweight) -library(raster) +library(terra) library(sf) library(viridis) library(whitebox) +library(mapview) ## Import toy_dem from whitebox package +toy_file<-sample_dem_data() toy_file <- system.file("extdata", "DEM.tif", package = "whitebox") -toy_dem <- raster(x = toy_file, values = TRUE) -crs(toy_dem) <- "+init=epsg:3161" +toy_dem <- rast(raster::raster(x = toy_file)) # reading the file from terra directly sometimes crashes R for some reason +crs(toy_dem) <- "epsg:3161" ## Generate hydroweight_dir as a temporary directory hydroweight_dir <- tempdir() @@ -244,10 +247,10 @@ the stream network (`tg_O_multi`) and their catchments ## Generate target_O, tg_O, representing a lake. tg_O <- toy_dem < 220 -tg_O[tg_O@data@values != 1] <- NA +tg_O[tg_O != 1] <- NA writeRaster(tg_O, file.path(hydroweight_dir, "tg_O.tif"), overwrite = TRUE) -tg_O <- rasterToPolygons(tg_O, dissolve = TRUE) -tg_O <- st_as_sf(tg_O) +tg_O <- terra::as.polygons(tg_O, dissolve = TRUE) +tg_O <- sf::st_as_sf(tg_O) ## Generate catchment for tg_O wbt_watershed( @@ -256,42 +259,44 @@ wbt_watershed( output = file.path(hydroweight_dir, "tg_O_catchment.tif") ) -tg_O_catchment <- raster(file.path(hydroweight_dir, "tg_O_catchment.tif")) -tg_O_catchment <- rasterToPolygons(tg_O_catchment, dissolve = TRUE) +tg_O_catchment <- rast(file.path(hydroweight_dir, "tg_O_catchment.tif")) +tg_O_catchment <- as.polygons(tg_O_catchment, dissolve = TRUE) tg_O_catchment <- st_as_sf(tg_O_catchment) +names(tg_O_catchment)[1]<-"Lake" ## Generate target_S, tg_S, representing the stream network -tg_S <- raster(file.path(hydroweight_dir, "toy_dem_streams.tif")) +tg_S <- rast(file.path(hydroweight_dir, "toy_dem_streams.tif")) ## Generate target_O, tg_O, representing several points along stream network, and their catchments -tg_O_multi <- raster(file.path(hydroweight_dir, "toy_dem_streams.tif")) -tg_O_multi <- rasterToPoints(tg_O_multi, spatial = TRUE) +tg_O_multi <- rast(file.path(hydroweight_dir, "toy_dem_streams.tif")) +tg_O_multi <- as.points(tg_O_multi) tg_O_multi <- st_as_sf(tg_O_multi) tg_O_multi <- tg_O_multi[st_coordinates(tg_O_multi)[, 1] < 675000, ] # selects single network tg_O_multi <- tg_O_multi[c(10, 50, 100), ] tg_O_multi$Site <- c(1, 2, 3) +tg_O_multi<-tg_O_multi[,-c(1)] tg_O_multi_catchment <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - + ## Take individual stream point and write to file sel <- tg_O_multi[xx, ] st_write(sel, file.path(hydroweight_dir, "tg_O_multi_single.shp"), - delete_layer = TRUE, quiet = TRUE + delete_layer = TRUE, quiet = TRUE ) - + ## Run watershed operation on stream point wbt_watershed( d8_pntr = file.path(hydroweight_dir, "toy_dem_breached_d8.tif"), pour_pts = file.path(hydroweight_dir, "tg_O_multi_single.shp"), output = file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif") ) - + ## Load catchment and convert to polygon with Site code. - sel_catchment_r <- raster(file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif")) - sel_catchment_r <- rasterToPolygons(sel_catchment_r, dissolve = TRUE) + sel_catchment_r <- rast(file.path(hydroweight_dir, "tg_O_multi_single_catchment.tif")) + sel_catchment_r <- as.polygons(sel_catchment_r, dissolve = TRUE) sel_catchment_r$Site <- sel$Site sel_catchment_r <- st_as_sf(sel_catchment_r) - + return(sel_catchment_r) } tg_O_multi_catchment <- bind_rows(tg_O_multi_catchment) @@ -352,23 +357,24 @@ text(6, 0.8, expression("(Distance + 1)"^-1), cex = 0.75) ``` r ## Run hydroweight::hydroweight() -hw_test_1 <- hydroweight::hydroweight( +hw_test_1 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_S = tg_S, target_uid = "Lake", - clip_region = NULL, + clip_region = tg_O_multi_catchment[1,1], OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" ), - inv_function = myinv + inv_function = myinv, + clean_tempfiles=F ) -#> Preparing hydroweight layers @ 2021-12-15 16:44:45 -#> Running distance-weighting @ 2021-12-15 16:44:49 + +hw_test_1<-lapply(hw_test_1,rast) ## Resultant structure: # length(hw_test_1) ## 1 set of targets and 7 distance-weighted rasters @@ -384,19 +390,11 @@ hw_test_1 <- hydroweight::hydroweight( # hw_test_1[["iEucO"]] etc. ## Plot different weighting schemes; where purple --> yellow == low --> high weight -par(mfrow = c(2, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -layout(matrix(c( - 1, 2, 3, 4, - 1, 5, 6, 7 -), nrow = 2, byrow = TRUE)) -plot(hw_test_1[[1]], main = "Lumped", axes = F, legend = F, box = FALSE, col = viridis(101)[101]) -plot(hw_test_1[[2]], main = "iEucO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(hw_test_1[[3]], main = "iFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(log(hw_test_1[[4]]), main = "HAiFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot.new() -plot(hw_test_1[[5]], main = "iEucS", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(hw_test_1[[6]], main = "iFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(log(hw_test_1[[7]]), main = "HAiFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) +hw_test_1$HAiFLO<-log(hw_test_1$HAiFLO) # These two weighting schemes can get vary high weights due to flow accumulation, +hw_test_1$HAiFLS<-log(hw_test_1$HAiFLS) # log transformation improves visualization + +plot(rast(c(hw_test_1[1:4],hw_test_1$lumped,hw_test_1[5:7])), + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) ``` @@ -407,47 +405,26 @@ Important things to note from this plot: - iEucO and iEucS distances extend outward to the extent of the DEM. - For iFLO/HAiFLO/iFLS/HAiFLS, only distances in cells contributing to the areas of interest are included. -- For iFLS/HAiFLS, all regions draining to *any* streams are included - (i.e., the streams to the east). These would be removed depending on - catchment boundaries of interest when using - `hydroweight::hydroweight_attributes()` - As in Peterson *et al.* (2011), for HAiFLS, the targets are set to NoData (i.e., NA) since they likely represent concentrated flow areas. -These temporary files are made per instance of -`hydroweight::hydroweight()`: - -``` r -list.files(hydroweight_dir)[grep("TEMP-", list.files(hydroweight_dir))] -#> [1] "TEMP-clip_region.dbf" "TEMP-clip_region.prj" -#> [3] "TEMP-clip_region.shp" "TEMP-clip_region.shx" -#> [5] "TEMP-clip_region.tif" "TEMP-cost_backlink.tif" -#> [7] "TEMP-cost_distance.tif" "TEMP-dem_clip.tif" -#> [9] "TEMP-flow_accum_clip.tif" "TEMP-flowdist.tif" -#> [11] "TEMP-HAiFLO.tif" "TEMP-HAiFLS.tif" -#> [13] "TEMP-iEucO.tif" "TEMP-iEucS.tif" -#> [15] "TEMP-iFLO.tif" "TEMP-iFLS.tif" -#> [17] "TEMP-lumped.tif" "TEMP-OS_combine.tif" -#> [19] "TEMP-target_O.dbf" "TEMP-target_O.prj" -#> [21] "TEMP-target_O.shp" "TEMP-target_O.shx" -#> [23] "TEMP-target_O_clip.tif" "TEMP-target_S_clip.tif" -``` - A few options to consider: ``` r ## Ignoring target_O -hw_test_2 <- hydroweight::hydroweight( +hw_test_2 <- hydroweight( hydroweight_dir = hydroweight_dir, target_S = tg_S, target_uid = "Lake", clip_region = NULL, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c("lumped", "iEucS", "iFLS", "HAiFLS"), inv_function = myinv ) + +hw_test_2<-lapply(hw_test_2,rast) ## Resultant structure: # length(hw_test_3) ## 1 set of targets and 4 distance-weighted rasters # hw_test_2[[1]] ## lumped @@ -456,15 +433,18 @@ hw_test_2 <- hydroweight::hydroweight( # hw_test_2[[4]] ## HAiFLS ## Ignoring target_S -hw_test_3 <- hydroweight::hydroweight( +hw_test_3 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_uid = "Lake", - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c("lumped", "iEucO", "iFLO", "HAiFLO"), inv_function = myinv ) + +hw_test_3<-lapply(hw_test_3,rast) + # length(hw_test_3) ## 1 set of targets and 4 distance-weighted rasters # hw_test_3[[1]] ## lumped # hw_test_3[[2]] ## iEucO @@ -472,15 +452,15 @@ hw_test_3 <- hydroweight::hydroweight( # hw_test_3[[4]] ## HAiFLO ## Setting a clip region -hw_test_4 <- hydroweight::hydroweight( +hw_test_4 <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O, target_S = tg_S, target_uid = "Lake", - clip_region = 8000, + clip_region = sf::st_buffer(tg_O,8000), OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -488,13 +468,17 @@ hw_test_4 <- hydroweight::hydroweight( inv_function = myinv ) +hw_test_4<-lapply(hw_test_4,rast) + ## Plot -par(mfrow = c(1, 1), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -plot(hw_test_1[[1]], main = "iEucO - 8000 m clip", axes = FALSE, legend = FALSE, box = FALSE, col = viridis(101)) -plot(hw_test_4[[2]], add = TRUE, axes = FALSE, legend = FALSE, box = FALSE, col = viridis(101)) +hw_test_4$HAiFLO<-log(hw_test_4$HAiFLO) # These two weighting schemes can get vary high weights due to flow accumulation, +hw_test_4$HAiFLS<-log(hw_test_4$HAiFLS) # log transformation improves visualization + +plot(rast(c(hw_test_4[1:4],hw_test_4$lumped,hw_test_4[5:7])), + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) ``` - + [Back to top](#contents) @@ -520,35 +504,30 @@ Since `hydroweight()` exports an `.rds` of its result to ## Run hydroweight across sites found in stream points tg_O_multi/tg_O_multi_catchment hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { message("Running hydroweight for site ", xx, " at ", Sys.time()) - - hw_test_xx <- hydroweight::hydroweight( + + hw_test_xx <- hydroweight( hydroweight_dir = hydroweight_dir, target_O = tg_O_multi[xx, ], ## Important to change target_S = tg_S, target_uid = tg_O_multi$Site[xx], ## Important to change clip_region = NULL, OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" ), inv_function = myinv ) - + return(hw_test_xx) } -#> Running hydroweight for site 1 at 2021-12-15 16:45:23 -#> Preparing hydroweight layers @ 2021-12-15 16:45:23 -#> Running distance-weighting @ 2021-12-15 16:45:27 -#> Running hydroweight for site 2 at 2021-12-15 16:45:33 -#> Preparing hydroweight layers @ 2021-12-15 16:45:33 -#> Running distance-weighting @ 2021-12-15 16:45:36 -#> Running hydroweight for site 3 at 2021-12-15 16:45:43 -#> Preparing hydroweight layers @ 2021-12-15 16:45:43 -#> Running distance-weighting @ 2021-12-15 16:45:46 +#> Running hydroweight for site 1 at 2022-08-17 13:19:33 +#> Running hydroweight for site 2 at 2022-08-17 13:19:36 +#> Running hydroweight for site 3 at 2022-08-17 13:19:40 +hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## Resultant structure: ## length(hw_test_5) # 3 sites ## length(hw_test_5[[1]]) # 7 distance-weighted rasters for each site @@ -564,10 +543,14 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { ## ... ## hw_test_5[[3]][[7]] # site 3, HAiFLS -## Loading up data as if it were not originally assigned to object hw_test_5 -inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.rds")) -hw_test_5 <- lapply(inv_distance_collect, function(x) { - readRDS(x) +## Loading up data from .zip file +inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.zip")) +inv_distance_collect <- lapply(inv_distance_collect, function(x) { + fls<-unzip(x,list=T) + fls<-file.path("/vsizip",x,fls$Name) + x<-lapply(fls,terra::rast) + names(x)<-sapply(x,names) + return(x) }) ## Resultant structure: @@ -586,16 +569,17 @@ hw_test_5 <- lapply(inv_distance_collect, function(x) { ## hw_test_5[[3]][[7]] # site 3, HAiFLS ## Plot sites, their catchments, and their respective distance-weighted iFLO rasters + par(mfrow = c(1, 3), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 1 - iFLO") -plot(hw_test_5[[1]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[1]][[3]], axes = F, legend = F, col = viridis(101), add = T) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 2 - iFLO") -plot(hw_test_5[[2]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[2]][[3]], axes = F, legend = F, col = viridis(101), add = T) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 3 - iFLO") -plot(hw_test_5[[3]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[3]][[3]], axes = F, legend = F, col = viridis(101), add = T) ``` - + [Back to top](#contents) @@ -615,24 +599,24 @@ for deriving the catchment boundary for Site 3 is below. ## Pull out iFLO from Site 3, convert non-NA values to 1, then to polygons, then to sf site3_catchment <- hw_test_5[[3]][["iFLO"]] site3_catchment[!is.na(site3_catchment)] <- 1 -site3_catchment <- rasterToPolygons(site3_catchment, dissolve = T) +site3_catchment <- as.polygons(site3_catchment, dissolve = T) site3_catchment <- st_as_sf(site3_catchment) ## Compare par(mfrow = c(1, 3)) plot(st_geometry(tg_O_multi_catchment[3, ]), - col = adjustcolor("blue", alpha.f = 0.5), - main = "Site 3 catchment \n wbt_watershed-derived" + col = adjustcolor("blue", alpha.f = 0.5), + main = "Site 3 catchment \n wbt_watershed-derived" ) plot(st_geometry(site3_catchment), - col = adjustcolor("red", alpha.f = 0.5), - main = "Site 3 catchment \n hydroweight-derived" + col = adjustcolor("red", alpha.f = 0.5), + main = "Site 3 catchment \n hydroweight-derived" ) plot(st_geometry(site3_catchment), col = adjustcolor("blue", alpha.f = 0.5), main = "Overlap") plot(st_geometry(tg_O_multi_catchment[3, ]), col = adjustcolor("red", alpha.f = 0.5), main = "Overlap", add = T) ``` - + [Back to top](#contents) @@ -656,12 +640,16 @@ for each `roi`:`loi` combination are calculated using

-where ![n](https://latex.codecogs.com/png.latex?n "n") is the number of -cells, ![w_i](https://latex.codecogs.com/png.latex?w_i "w_i") are the -cell weights, and ![x_i](https://latex.codecogs.com/png.latex?x_i "x_i") -are `loi` cell values, ![m](https://latex.codecogs.com/png.latex?m "m") +where +![n](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;n "n") +is the number of cells, +![w_i](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;w_i "w_i") +are the cell weights, and +![x_i](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;x_i "x_i") +are `loi` cell values, +![m](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;m "m") is the number or non-zero weights, and -![\\bar{x}^\*](https://latex.codecogs.com/png.latex?%5Cbar%7Bx%7D%5E%2A "\bar{x}^*") +![\bar{x}^\*](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;%5Cbar%7Bx%7D%5E%2A "\bar{x}^*") is the weighted mean. For categorical inputs, the proportion for each `roi`:`loi` combination is calculated using @@ -670,10 +658,11 @@ is the weighted mean. For categorical inputs, the proportion for each

where -![I(k_i)=1](https://latex.codecogs.com/png.latex?I%28k_i%29%3D1 "I(k_i)=1") -when category ![k](https://latex.codecogs.com/png.latex?k "k") is -present in a cell or -![I(k_i)=0](https://latex.codecogs.com/png.latex?I%28k_i%29%3D0 "I(k_i)=0") +![I(k_i)=1](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;I%28k_i%29%3D1 "I(k_i)=1") +when category +![k](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;k "k") +is present in a cell or +![I(k_i)=0](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;I%28k_i%29%3D0 "I(k_i)=0") when not. Finally, `loi` `NA` values are handled differently depending on `loi` @@ -703,33 +692,47 @@ results are returned. ``` r ## Construct continuous dataset ndvi <- toy_dem -values(ndvi) <- runif(n = (ndvi@ncols * ndvi@nrows), min = 0, max = 1) +values(ndvi) <- runif(n = (dim(ndvi)[1] * dim(ndvi)[2]), min = 0, max = 1) names(ndvi) <- "ndvi" hwa_test_numeric <- hydroweight_attributes( - loi = ndvi, + #loi = ndvi, + loi = rast(list(setNames(ndvi,"ndvi1"),setNames(ndvi,"ndvi2"))), + loi_columns=c("ndvi1","ndvi2"), loi_attr_col = "ndvi", loi_numeric = TRUE, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "cell_count"), roi = tg_O_catchment, roi_uid = "1", roi_uid_col = "Lake", - distance_weights = hw_test_1, + distance_weights = hw_test_1,#file.path(hydroweight_dir,"Lake_inv_distances.zip"), remove_region = tg_O, return_products = TRUE ) names(hwa_test_numeric$attribute_table) -#> [1] "Lake" "lumped_ndvi_mean" -#> [3] "lumped_ndvi_sd" "lumped_ndvi_median" -#> [5] "lumped_ndvi_min" "lumped_ndvi_max" -#> [7] "lumped_ndvi_cell_count" "lumped_ndvi_NA_cell_count" -#> [9] "lumped_ndvi_distwtd_mean" "lumped_ndvi_distwtd_sd" -#> [11] "iEucO_ndvi_distwtd_mean" "iEucO_ndvi_distwtd_sd" -#> [13] "iFLO_ndvi_distwtd_mean" "iFLO_ndvi_distwtd_sd" -#> [15] "HAiFLO_ndvi_distwtd_mean" "HAiFLO_ndvi_distwtd_sd" -#> [17] "iEucS_ndvi_distwtd_mean" "iEucS_ndvi_distwtd_sd" -#> [19] "iFLS_ndvi_distwtd_mean" "iFLS_ndvi_distwtd_sd" -#> [21] "HAiFLS_ndvi_distwtd_mean" "HAiFLS_ndvi_distwtd_sd" +#> [1] "Lake" "ndvi1_lumped_mean" +#> [3] "ndvi2_lumped_mean" "ndvi1_lumped_sd" +#> [5] "ndvi2_lumped_sd" "ndvi1_lumped_median" +#> [7] "ndvi2_lumped_median" "ndvi1_lumped_min" +#> [9] "ndvi2_lumped_min" "ndvi1_lumped_max" +#> [11] "ndvi2_lumped_max" "ndvi1_lumped_cell_count" +#> [13] "ndvi2_lumped_cell_count" "ndvi1_lumped_distwtd_mean" +#> [15] "ndvi2_lumped_distwtd_mean" "ndvi1_lumped_distwtd_sd" +#> [17] "ndvi2_lumped_distwtd_sd" "ndvi1_iEucO_distwtd_mean" +#> [19] "ndvi2_iEucO_distwtd_mean" "ndvi1_iEucO_distwtd_sd" +#> [21] "ndvi2_iEucO_distwtd_sd" "ndvi1_iFLO_distwtd_mean" +#> [23] "ndvi2_iFLO_distwtd_mean" "ndvi1_iFLO_distwtd_sd" +#> [25] "ndvi2_iFLO_distwtd_sd" "ndvi1_HAiFLO_distwtd_mean" +#> [27] "ndvi2_HAiFLO_distwtd_mean" "ndvi1_HAiFLO_distwtd_sd" +#> [29] "ndvi2_HAiFLO_distwtd_sd" "ndvi1_iEucS_distwtd_mean" +#> [31] "ndvi2_iEucS_distwtd_mean" "ndvi1_iEucS_distwtd_sd" +#> [33] "ndvi2_iEucS_distwtd_sd" "ndvi1_iFLS_distwtd_mean" +#> [35] "ndvi2_iFLS_distwtd_mean" "ndvi1_iFLS_distwtd_sd" +#> [37] "ndvi2_iFLS_distwtd_sd" "ndvi1_HAiFLS_distwtd_mean" +#> [39] "ndvi2_HAiFLS_distwtd_mean" "ndvi1_HAiFLS_distwtd_sd" +#> [41] "ndvi2_HAiFLS_distwtd_sd" + +hwa_test_numeric$return_products<-lapply(hwa_test_numeric$return_products,function(x) lapply(x,rast)) ## Resultant structure ## length(hw_test_numeric) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -745,17 +748,17 @@ names(hwa_test_numeric$attribute_table) ## Plot par(mfrow = c(1, 1)) -plot(ndvi, axes = F, legend = F, box = FALSE, col = viridis(101), main = "Toy NDVI") +plot(ndvi, axes = F, legend = F, col = viridis(101), main = "Toy NDVI") plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add = T) plot(st_geometry(tg_O), col = "red", add = T) plot(tg_S, col = "blue", add = T, legend = FALSE) legend("bottom", - legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), - fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 + legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), + fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 ) ``` - + ``` r ## Plot results @@ -763,24 +766,24 @@ par(mfrow = c(3, 2), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights") -plot(hwa_test_numeric$return_products$lumped$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE) +plot(hw_test_1$lumped, axes = F, legend = F, col = "yellow", add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$lumped$`loi_Raster*_bounded` * hwa_test_numeric$return_products$lumped$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], axes = F, legend = F, col = viridis(101), add = TRUE) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights") -plot(hwa_test_numeric$return_products$iEucO$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iEucO, axes = F, legend = F, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iEucO$`loi_Raster*_bounded` * hwa_test_numeric$return_products$iEucO$distance_weights_bounded, main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iEucO$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) ## iFLS plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights") -plot(hwa_test_numeric$return_products$iFLS$distance_weights_bounded, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iFLS, axes = F, legend = F, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iFLS$`loi_Raster*_bounded` * hwa_test_numeric$return_products$iFLS$distance_weights_bounded, main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iFLS$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) ``` - + [Back to top](#contents) @@ -799,12 +802,13 @@ results are returned. lulc <- toy_dem m <- c(0, 220, 1, 220, 300, 2, 300, 400, 3, 400, Inf, 4) rclmat <- matrix(m, ncol = 3, byrow = TRUE) -lulc <- reclassify(lulc, rclmat) +lulc <- classify(lulc, rclmat) +names(lulc)<-"lulc" ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc hwa_test_categorical <- hydroweight_attributes( - loi = lulc, - loi_attr_col = "lulc", + loi = rast(list(setNames(lulc,"lulc1"),setNames(lulc,"lulc2"))), + loi_attr_col = c("lulc1","lulc2"), loi_numeric = FALSE, roi = tg_O_catchment, roi_uid = "1", @@ -814,16 +818,27 @@ hwa_test_categorical <- hydroweight_attributes( return_products = TRUE ) names(hwa_test_categorical$attribute_table) -#> [1] "Lake" "lumped_lulc_prop_1" "lumped_lulc_prop_2" -#> [4] "lumped_lulc_prop_3" "lumped_lulc_prop_4" "iEucO_lulc_prop_1" -#> [7] "iEucO_lulc_prop_2" "iEucO_lulc_prop_3" "iEucO_lulc_prop_4" -#> [10] "iFLO_lulc_prop_1" "iFLO_lulc_prop_2" "iFLO_lulc_prop_3" -#> [13] "iFLO_lulc_prop_4" "HAiFLO_lulc_prop_1" "HAiFLO_lulc_prop_2" -#> [16] "HAiFLO_lulc_prop_3" "HAiFLO_lulc_prop_4" "iEucS_lulc_prop_1" -#> [19] "iEucS_lulc_prop_2" "iEucS_lulc_prop_3" "iEucS_lulc_prop_4" -#> [22] "iFLS_lulc_prop_1" "iFLS_lulc_prop_2" "iFLS_lulc_prop_3" -#> [25] "iFLS_lulc_prop_4" "HAiFLS_lulc_prop_1" "HAiFLS_lulc_prop_2" -#> [28] "HAiFLS_lulc_prop_3" "HAiFLS_lulc_prop_4" +#> [1] "Lake" "lulc1_1_lumped_prop" "lulc1_2_lumped_prop" +#> [4] "lulc1_3_lumped_prop" "lulc1_4_lumped_prop" "lulc2_1_lumped_prop" +#> [7] "lulc2_2_lumped_prop" "lulc2_3_lumped_prop" "lulc2_4_lumped_prop" +#> [10] "lulc1_1_iEucO_prop" "lulc1_2_iEucO_prop" "lulc1_3_iEucO_prop" +#> [13] "lulc1_4_iEucO_prop" "lulc2_1_iEucO_prop" "lulc2_2_iEucO_prop" +#> [16] "lulc2_3_iEucO_prop" "lulc2_4_iEucO_prop" "lulc1_1_iFLO_prop" +#> [19] "lulc1_2_iFLO_prop" "lulc1_3_iFLO_prop" "lulc1_4_iFLO_prop" +#> [22] "lulc2_1_iFLO_prop" "lulc2_2_iFLO_prop" "lulc2_3_iFLO_prop" +#> [25] "lulc2_4_iFLO_prop" "lulc1_1_HAiFLO_prop" "lulc1_2_HAiFLO_prop" +#> [28] "lulc1_3_HAiFLO_prop" "lulc1_4_HAiFLO_prop" "lulc2_1_HAiFLO_prop" +#> [31] "lulc2_2_HAiFLO_prop" "lulc2_3_HAiFLO_prop" "lulc2_4_HAiFLO_prop" +#> [34] "lulc1_1_iEucS_prop" "lulc1_2_iEucS_prop" "lulc1_3_iEucS_prop" +#> [37] "lulc1_4_iEucS_prop" "lulc2_1_iEucS_prop" "lulc2_2_iEucS_prop" +#> [40] "lulc2_3_iEucS_prop" "lulc2_4_iEucS_prop" "lulc1_1_iFLS_prop" +#> [43] "lulc1_2_iFLS_prop" "lulc1_3_iFLS_prop" "lulc1_4_iFLS_prop" +#> [46] "lulc2_1_iFLS_prop" "lulc2_2_iFLS_prop" "lulc2_3_iFLS_prop" +#> [49] "lulc2_4_iFLS_prop" "lulc1_1_HAiFLS_prop" "lulc1_2_HAiFLS_prop" +#> [52] "lulc1_3_HAiFLS_prop" "lulc1_4_HAiFLS_prop" "lulc2_1_HAiFLS_prop" +#> [55] "lulc2_2_HAiFLS_prop" "lulc2_3_HAiFLS_prop" "lulc2_4_HAiFLS_prop" + +hwa_test_categorical$return_products<-lapply(hwa_test_categorical$return_products,function(x) lapply(x,rast)) ## Resultant structure ## length(hw_test_categorical) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -839,17 +854,17 @@ names(hwa_test_categorical$attribute_table) ## Plot par(mfrow = c(1, 1)) -plot(lulc, axes = F, legend = F, box = FALSE, col = viridis(4), main = "Toy LULC") +plot(lulc, axes = F, legend = F, col = viridis(4), main = "Toy LULC") plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add = T) plot(tg_O, col = "red", add = T, legend = FALSE) plot(tg_S, col = "blue", add = T, legend = FALSE) legend("bottom", - legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), - fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 + legend = c("target_O = tg_O", "target_S = tg_S", "catchment"), + fill = c("red", "blue", adjustcolor("grey", alpha.f = 0.5)), horiz = TRUE, bty = "n", cex = 0.75 ) ``` - + ``` r ## Plot results @@ -857,69 +872,60 @@ par(mfrow = c(3, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0), cex = 0.75) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE +plot(hw_test_1$lumped, + axes = F, legend = F, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_4, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_3, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$lumped$distance_weights_bounded * - hwa_test_categorical$return_products$lumped$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_2, + axes = F, legend = F, col = viridis(101), add = TRUE ) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE +plot(hw_test_1$iEucO, + axes = F, legend = F, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_4, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_3, + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iEucO$distance_weights_bounded * - hwa_test_categorical$return_products$iEucO$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_2, + axes = F, legend = F, col = viridis(101), add = TRUE ) -## iFLO -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE +## iFLS +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS") +plot(hw_test_1$iFLS, + axes = F, legend = F, col = "yellow", add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[4]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 4)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_4, + axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[3]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 3)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_3, + axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLO - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iFLO$distance_weights_bounded * - hwa_test_categorical$return_products$iFLO$`loi_Raster*_bounded`[[2]], -axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 2)") +plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_2, + axes = F, legend = F, col = viridis(101), add = TRUE ) ``` - + [Back to top](#contents) @@ -941,7 +947,7 @@ information indicating type of data and how results are returned. ``` r ## Construct polygons with numeric data by converting lulc to polygons and assigning values to columns -lulc_p <- rasterToPolygons(lulc, dissolve = T, na.rm = T) +lulc_p <- as.polygons(lulc, dissolve = T, na.rm = T) lulc_p <- st_as_sf(lulc_p) set.seed(123) @@ -963,28 +969,29 @@ hwa_test_numeric_polygon <- hydroweight_attributes( remove_region = tg_O, return_products = TRUE ) +#> Warning in sqrt(unlist(term1)/unlist(term2)): NaNs produced names(hwa_test_numeric_polygon$attribute_table) -#> [1] "Lake" "lumped_lulc_var_1_mean" -#> [3] "lumped_lulc_var_2_mean" "lumped_lulc_var_1_sd" -#> [5] "lumped_lulc_var_2_sd" "lumped_lulc_var_1_min" -#> [7] "lumped_lulc_var_2_min" "lumped_lulc_var_1_max" -#> [9] "lumped_lulc_var_2_max" "lumped_lulc_var_1_cell_count" -#> [11] "lumped_lulc_var_2_cell_count" "lumped_lulc_var_1_NA_cell_count" -#> [13] "lumped_lulc_var_2_NA_cell_count" "lumped_lulc_var_1_distwtd_mean" -#> [15] "lumped_lulc_var_2_distwtd_mean" "lumped_lulc_var_1_distwtd_sd" -#> [17] "lumped_lulc_var_2_distwtd_sd" "iEucO_lulc_var_1_distwtd_mean" -#> [19] "iEucO_lulc_var_2_distwtd_mean" "iEucO_lulc_var_1_distwtd_sd" -#> [21] "iEucO_lulc_var_2_distwtd_sd" "iFLO_lulc_var_1_distwtd_mean" -#> [23] "iFLO_lulc_var_2_distwtd_mean" "iFLO_lulc_var_1_distwtd_sd" -#> [25] "iFLO_lulc_var_2_distwtd_sd" "HAiFLO_lulc_var_1_distwtd_mean" -#> [27] "HAiFLO_lulc_var_2_distwtd_mean" "HAiFLO_lulc_var_1_distwtd_sd" -#> [29] "HAiFLO_lulc_var_2_distwtd_sd" "iEucS_lulc_var_1_distwtd_mean" -#> [31] "iEucS_lulc_var_2_distwtd_mean" "iEucS_lulc_var_1_distwtd_sd" -#> [33] "iEucS_lulc_var_2_distwtd_sd" "iFLS_lulc_var_1_distwtd_mean" -#> [35] "iFLS_lulc_var_2_distwtd_mean" "iFLS_lulc_var_1_distwtd_sd" -#> [37] "iFLS_lulc_var_2_distwtd_sd" "HAiFLS_lulc_var_1_distwtd_mean" -#> [39] "HAiFLS_lulc_var_2_distwtd_mean" "HAiFLS_lulc_var_1_distwtd_sd" -#> [41] "HAiFLS_lulc_var_2_distwtd_sd" +#> [1] "Lake" "var_1_lumped_mean" +#> [3] "var_2_lumped_mean" "var_1_lumped_sd" +#> [5] "var_2_lumped_sd" "var_1_lumped_min" +#> [7] "var_2_lumped_min" "var_1_lumped_max" +#> [9] "var_2_lumped_max" "var_1_lumped_cell_count" +#> [11] "var_2_lumped_cell_count" "var_1_lumped_distwtd_mean" +#> [13] "var_2_lumped_distwtd_mean" "var_1_lumped_distwtd_sd" +#> [15] "var_2_lumped_distwtd_sd" "var_1_iEucO_distwtd_mean" +#> [17] "var_2_iEucO_distwtd_mean" "var_1_iEucO_distwtd_sd" +#> [19] "var_2_iEucO_distwtd_sd" "var_1_iFLO_distwtd_mean" +#> [21] "var_2_iFLO_distwtd_mean" "var_1_iFLO_distwtd_sd" +#> [23] "var_2_iFLO_distwtd_sd" "var_1_HAiFLO_distwtd_mean" +#> [25] "var_2_HAiFLO_distwtd_mean" "var_1_HAiFLO_distwtd_sd" +#> [27] "var_2_HAiFLO_distwtd_sd" "var_1_iEucS_distwtd_mean" +#> [29] "var_2_iEucS_distwtd_mean" "var_1_iEucS_distwtd_sd" +#> [31] "var_2_iEucS_distwtd_sd" "var_1_iFLS_distwtd_mean" +#> [33] "var_2_iFLS_distwtd_mean" "var_1_iFLS_distwtd_sd" +#> [35] "var_2_iFLS_distwtd_sd" "var_1_HAiFLS_distwtd_mean" +#> [37] "var_2_HAiFLS_distwtd_mean" "var_1_HAiFLS_distwtd_sd" +#> [39] "var_2_HAiFLS_distwtd_sd" +hwa_test_numeric_polygon$return_products<-lapply(hwa_test_numeric_polygon$return_products,function(x) lapply(x,rast)) ## Resultant structure ## length(hw_test_numeric_polygon) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -1010,7 +1017,7 @@ was summarized. ``` r ## Construct polygons with categorical data by converting lulc to polygons and assigning values to columns -lulc_p <- rasterToPolygons(lulc, dissolve = T, na.rm = T) +lulc_p <- as.polygons(lulc, dissolve = T, na.rm = T) lulc_p <- st_as_sf(lulc_p) set.seed(123) @@ -1032,28 +1039,21 @@ hwa_test_categorical_polygon <- hydroweight_attributes( return_products = TRUE ) names(hwa_test_categorical_polygon$attribute_table) -#> [1] "Lake" "lumped_lulc_prop_var_1_3" -#> [3] "lumped_lulc_prop_var_1_10" "lumped_lulc_prop_var_1_2" -#> [5] "lumped_lulc_prop_var_2_22" "lumped_lulc_prop_var_2_29" -#> [7] "lumped_lulc_prop_var_2_21" "iEucO_lulc_prop_var_1_3" -#> [9] "iEucO_lulc_prop_var_1_10" "iEucO_lulc_prop_var_1_2" -#> [11] "iEucO_lulc_prop_var_2_22" "iEucO_lulc_prop_var_2_29" -#> [13] "iEucO_lulc_prop_var_2_21" "iFLO_lulc_prop_var_1_3" -#> [15] "iFLO_lulc_prop_var_1_10" "iFLO_lulc_prop_var_1_2" -#> [17] "iFLO_lulc_prop_var_2_22" "iFLO_lulc_prop_var_2_29" -#> [19] "iFLO_lulc_prop_var_2_21" "HAiFLO_lulc_prop_var_1_3" -#> [21] "HAiFLO_lulc_prop_var_1_10" "HAiFLO_lulc_prop_var_1_2" -#> [23] "HAiFLO_lulc_prop_var_2_22" "HAiFLO_lulc_prop_var_2_29" -#> [25] "HAiFLO_lulc_prop_var_2_21" "iEucS_lulc_prop_var_1_3" -#> [27] "iEucS_lulc_prop_var_1_10" "iEucS_lulc_prop_var_1_2" -#> [29] "iEucS_lulc_prop_var_2_22" "iEucS_lulc_prop_var_2_29" -#> [31] "iEucS_lulc_prop_var_2_21" "iFLS_lulc_prop_var_1_3" -#> [33] "iFLS_lulc_prop_var_1_10" "iFLS_lulc_prop_var_1_2" -#> [35] "iFLS_lulc_prop_var_2_22" "iFLS_lulc_prop_var_2_29" -#> [37] "iFLS_lulc_prop_var_2_21" "HAiFLS_lulc_prop_var_1_3" -#> [39] "HAiFLS_lulc_prop_var_1_10" "HAiFLS_lulc_prop_var_1_2" -#> [41] "HAiFLS_lulc_prop_var_2_22" "HAiFLS_lulc_prop_var_2_29" -#> [43] "HAiFLS_lulc_prop_var_2_21" +#> [1] "Lake" "var_1_2_lumped_prop" "var_1_3_lumped_prop" +#> [4] "var_1_10_lumped_prop" "var_2_21_lumped_prop" "var_2_22_lumped_prop" +#> [7] "var_2_29_lumped_prop" "var_1_2_iEucO_prop" "var_1_3_iEucO_prop" +#> [10] "var_1_10_iEucO_prop" "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" +#> [13] "var_2_29_iEucO_prop" "var_1_2_iFLO_prop" "var_1_3_iFLO_prop" +#> [16] "var_1_10_iFLO_prop" "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" +#> [19] "var_2_29_iFLO_prop" "var_1_2_HAiFLO_prop" "var_1_3_HAiFLO_prop" +#> [22] "var_1_10_HAiFLO_prop" "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" +#> [25] "var_2_29_HAiFLO_prop" "var_1_2_iEucS_prop" "var_1_3_iEucS_prop" +#> [28] "var_1_10_iEucS_prop" "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" +#> [31] "var_2_29_iEucS_prop" "var_1_2_iFLS_prop" "var_1_3_iFLS_prop" +#> [34] "var_1_10_iFLS_prop" "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" +#> [37] "var_2_29_iFLS_prop" "var_1_2_HAiFLS_prop" "var_1_3_HAiFLS_prop" +#> [40] "var_1_10_HAiFLS_prop" "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" +#> [43] "var_2_29_HAiFLS_prop" ## Resultant structure ## length(hw_test_categorical_polygon) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -1080,7 +1080,7 @@ layers of interest. The basic chain looks like this this: - For each site: Run `hydroweight()` - - For each layer of interest: Run `hydroweight_attributes()` +- For each layer of interest: Run `hydroweight_attributes()` Here, we try to make the code easier to troubleshoot rather than make it look pretty: @@ -1092,25 +1092,35 @@ look pretty: # tg_O_multi ## sites # tg_O_multi_catchment ## catchments -sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { +cl <- parallel::makeCluster(3) +doParallel::registerDoParallel(cl) +sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { #note other parallel backends work as well (i.e., future.apply) + #when running in with foreach parallel, must specify libraries in function call + require(sf) + require(terra) + require(hydroweight) + ## Distance-weighted raster component message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") - + ## Select individual sites and catchments sel <- tg_O_multi[xx, ] + write_sf(sel,file.path(hydroweight_dir,paste0("Site_",sel$Site,".shp"))) #parallel execution is best done with file paths rather than objects + sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) - + write_sf(sel_roi,file.path(hydroweight_dir,paste0("ROI_",sel$Site,".shp"))) #parallel execution is best done with file paths rather than objects + ## Run hydroweight - site_weights <- hydroweight::hydroweight( + site_weights <- hydroweight( hydroweight_dir = hydroweight_dir, - target_O = sel, ## Important to change - target_S = tg_S, + target_O = file.path(hydroweight_dir,paste0("Site_",sel$Site,".shp")), ## Important to change + target_S = file.path(hydroweight_dir, "toy_dem_streams.tif"), target_uid = sel$Site[xx], ## Important to change - clip_region = NULL, + clip_region =file.path(hydroweight_dir,paste0("ROI_",sel$Site,".shp")), OS_combine = TRUE, - dem = "toy_dem_breached.tif", - flow_accum = "toy_dem_breached_accum.tif", + dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), + flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), weighting_scheme = c( "lumped", "iEucO", "iFLO", "HAiFLO", "iEucS", "iFLS", "HAiFLS" @@ -1118,6 +1128,9 @@ sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% inv_function = myinv ) } + +parallel::stopCluster(cl) + names(sites_weights) <- tg_O_multi$Site ## Resultant structure: @@ -1167,64 +1180,126 @@ loi_lulc_p_c <- list( ## These are combined into a list of lists loi_variable <- list(loi_ndvi, loi_lulc, loi_lulc_p_n, loi_lulc_p_c) + + +# To save processing time, convert all inputs into rasters matching DEM +## Numeric Rasters +numeric_rasts<-loi_variable[sapply(loi_variable,function(x) x$loi_numeric)] +numeric_rasts<-lapply(numeric_rasts,function(x) + process_input(input=x$loi, + target=file.path(hydroweight_dir,"toy_dem_breached.tif"), + variable_names=x$loi_columns, + resample_type="bilinear")) +numeric_rasts<-rast(numeric_rasts) +writeRaster(numeric_rasts,file.path(hydroweight_dir,"numeric_rasters.tif"),overwrite=T) + +## Categorical Rasters +cat_rasts<-loi_variable[sapply(loi_variable,function(x) !x$loi_numeric)] +cat_rasts<-lapply(cat_rasts,function(x) + process_input(input=x$loi, + target=file.path(hydroweight_dir,"toy_dem_breached.tif"), + variable_names=x$loi_columns, + resample_type="near")) +cat_rasts<-rast(cat_rasts) +writeRaster(cat_rasts,file.path(hydroweight_dir,"cat_rasters.tif"),overwrite=T) + +# Combine into final loi variables +## loi is specified as a file path to allow parallel processing +## to pass loi as an in memory raster for parallel processing, use terra::wrap() (note this can be inefficient for large raster) +## if not using parallel processing, loi can be given as an in memory raster object (terra or raster) +loi_variable_final<-list( + numeric=list( + loi = file.path(hydroweight_dir,"numeric_rasters.tif"), + loi_attr_col = names(numeric_rasts), + loi_numeric = TRUE, + loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "min", "max") + ), + categorical=list( + loi = file.path(hydroweight_dir,"cat_rasters.tif"), + loi_attr_col = names(cat_rasts), + loi_numeric = FALSE + ) +) ``` ### 5.3 Run `hydroweight_attributes()` across sites and layers +For efficiency, combine all numerical layers and all categorical layers +together + ``` r -sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - ## Distance-weighted raster component - message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") +library(future.apply) - ## Select individual sites, catchments, and weights - sel <- tg_O_multi[xx, ] - sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) - sel_weights <- sites_weights[[sel$Site]] +availableCores() +#> system +#> 8 + +plan(list( #nested loop - note can be memory intensive + tweak(multisession, workers = 3)), # split site processing across 3 cores + tweak(multisession, workers = 2) # split loi processing across 2 cores +) + +sites_attributes_products<-future_lapply(split(tg_O_multi_catchment,tg_O_multi_catchment$Site), function(xx){ + write_sf(xx,file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp"))) + ## Consistent arguments to hydroweight_attributes, not loi-specific. See ?hydroweight_attributes loi_consist <- list( - roi = sel_roi, - distance_weights = sel_weights, + roi = file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp")), + distance_weights = file.path(hydroweight_dir,paste0(xx$Site,"_inv_distances.zip")), remove_region = NULL, - return_products = TRUE, - roi_uid = sel$Site, + return_products = TRUE, #set this to FALSE to decrease memory and space requirement + roi_uid = xx$Site, roi_uid_col = "Site" ) - - ## For each loi, - sel_layers_hwa <- foreach(yy = 1:length(loi_variable), .errorhandling = "pass") %do% { - + + future_lapply(loi_variable_final, function(yy) { ## Combine loi_variable[[y]] with loi_consist - loi_combined <- c(loi_variable[[yy]], loi_consist) - + loi_combined <- c(yy, loi_consist) + ## Run hydroweight_attributes using arguments in loi_combined - loi_output <- do.call(hydroweight::hydroweight_attributes, loi_combined) - - return(loi_output) - } + do.call(hydroweight_attributes, loi_combined) + }) + +}) - return(sel_layers_hwa) -} -length(sites_attributes_products) ## List of results; one list per site -#> [1] 3 -length(sites_attributes_products[[1]]) ## List of results for site 1; one list of results per loi -#> [1] 4 -length(sites_attributes_products[[1]][[1]]) ## List of results for site 1 and loi 1 -#> [1] 2 +names(sites_attributes_products) ## List of results; one list per site +#> [1] "1" "2" "3" +names(sites_attributes_products[[1]]) ## List of results for site 1; one list of results per loi +#> [1] "numeric" "categorical" +names(sites_attributes_products[[1]][[1]]) ## List of results for site 1 and loi 1 +#> [1] "attribute_table" "return_products" names(sites_attributes_products[[1]][[1]]$attribute_table) ## Attribute table for site 1 and loi 1 -#> [1] "Site" "lumped_ndvi_mean" -#> [3] "lumped_ndvi_sd" "lumped_ndvi_min" -#> [5] "lumped_ndvi_max" "lumped_ndvi_cell_count" -#> [7] "lumped_ndvi_NA_cell_count" "lumped_ndvi_distwtd_mean" -#> [9] "lumped_ndvi_distwtd_sd" "iEucO_ndvi_distwtd_mean" -#> [11] "iEucO_ndvi_distwtd_sd" "iFLO_ndvi_distwtd_mean" -#> [13] "iFLO_ndvi_distwtd_sd" "HAiFLO_ndvi_distwtd_mean" -#> [15] "HAiFLO_ndvi_distwtd_sd" "iEucS_ndvi_distwtd_mean" -#> [17] "iEucS_ndvi_distwtd_sd" "iFLS_ndvi_distwtd_mean" -#> [19] "iFLS_ndvi_distwtd_sd" "HAiFLS_ndvi_distwtd_mean" -#> [21] "HAiFLS_ndvi_distwtd_sd" +#> [1] "Site" "ndvi_lumped_mean" +#> [3] "var_1_lumped_mean" "var_2_lumped_mean" +#> [5] "ndvi_lumped_sd" "var_1_lumped_sd" +#> [7] "var_2_lumped_sd" "ndvi_lumped_min" +#> [9] "var_1_lumped_min" "var_2_lumped_min" +#> [11] "ndvi_lumped_max" "var_1_lumped_max" +#> [13] "var_2_lumped_max" "ndvi_lumped_distwtd_mean" +#> [15] "var_1_lumped_distwtd_mean" "var_2_lumped_distwtd_mean" +#> [17] "ndvi_lumped_distwtd_sd" "var_1_lumped_distwtd_sd" +#> [19] "var_2_lumped_distwtd_sd" "ndvi_iEucO_distwtd_mean" +#> [21] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" +#> [23] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" +#> [25] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" +#> [27] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" +#> [29] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" +#> [31] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" +#> [33] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" +#> [35] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" +#> [37] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" +#> [39] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" +#> [41] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" +#> [43] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" +#> [45] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" +#> [47] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" +#> [49] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" +#> [51] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" +#> [53] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" +#> [55] "var_2_HAiFLS_distwtd_sd" names(sites_attributes_products[[1]][[1]]$return_products) ## Return products for site 1 and loi 1 per distance-weighted raster #> [1] "lumped" "iEucO" "iFLO" "HAiFLO" "iEucS" "iFLS" "HAiFLS" ``` @@ -1232,98 +1307,86 @@ names(sites_attributes_products[[1]][[1]]$return_products) ## Return products fo ### 5.4 Extract and adjust results data frames ``` r -sites_attributes_list <- foreach(xx = 1:length(sites_attributes_products), .errorhandling = "pass") %do% { - - ## Selects an individual site - sel_site <- sites_attributes_products[[xx]] - - ## Selects distance-weighted raster results set - site_stats <- foreach(yy = 1:length(sel_site), .errorhandling = "pass") %do% { - sel_site[[yy]]$attribute_table - } - - ## Merges the distance-weighted raster-specific datasets - site_stats <- Reduce(merge, site_stats) - return(site_stats) -} +require(tidyverse) -## Bind rows -sites_attributes_df <- bind_rows(sites_attributes_list) +sites_attributes_df<-map_dfr(sites_attributes_products, #rbind sites + ~map(.,~as_tibble(.$attribute_table)) %>% + reduce(left_join) # join numeric and categorical summaries +) ## If a raster category was missing in a site's catchment but was present in another site's, -## that record would be filled with NA according to bind_rows. Need to fix this. +## that record would be filled with NA according to left_join. Need to fix this. ## This is only true for columns containing "prop". -sites_attributes_df[, grep("prop", colnames(sites_attributes_df))][is.na(sites_attributes_df[, grep("prop", colnames(sites_attributes_df))])] <- 0 + +sites_attributes_df <- sites_attributes_df %>% + mutate(across(ends_with("_prop"),~if_else(is.na(.),0,.))) ## Final data frame colnames(sites_attributes_df) -#> [1] "Site" "lumped_ndvi_mean" -#> [3] "lumped_ndvi_sd" "lumped_ndvi_min" -#> [5] "lumped_ndvi_max" "lumped_ndvi_cell_count" -#> [7] "lumped_ndvi_NA_cell_count" "lumped_ndvi_distwtd_mean" -#> [9] "lumped_ndvi_distwtd_sd" "iEucO_ndvi_distwtd_mean" -#> [11] "iEucO_ndvi_distwtd_sd" "iFLO_ndvi_distwtd_mean" -#> [13] "iFLO_ndvi_distwtd_sd" "HAiFLO_ndvi_distwtd_mean" -#> [15] "HAiFLO_ndvi_distwtd_sd" "iEucS_ndvi_distwtd_mean" -#> [17] "iEucS_ndvi_distwtd_sd" "iFLS_ndvi_distwtd_mean" -#> [19] "iFLS_ndvi_distwtd_sd" "HAiFLS_ndvi_distwtd_mean" -#> [21] "HAiFLS_ndvi_distwtd_sd" "lumped_lulc_prop_1" -#> [23] "lumped_lulc_prop_2" "lumped_lulc_prop_3" -#> [25] "lumped_lulc_prop_4" "iEucO_lulc_prop_1" -#> [27] "iEucO_lulc_prop_2" "iEucO_lulc_prop_3" -#> [29] "iEucO_lulc_prop_4" "iFLO_lulc_prop_1" -#> [31] "iFLO_lulc_prop_2" "iFLO_lulc_prop_3" -#> [33] "iFLO_lulc_prop_4" "HAiFLO_lulc_prop_1" -#> [35] "HAiFLO_lulc_prop_2" "HAiFLO_lulc_prop_3" -#> [37] "HAiFLO_lulc_prop_4" "iEucS_lulc_prop_1" -#> [39] "iEucS_lulc_prop_2" "iEucS_lulc_prop_3" -#> [41] "iEucS_lulc_prop_4" "iFLS_lulc_prop_1" -#> [43] "iFLS_lulc_prop_2" "iFLS_lulc_prop_3" -#> [45] "iFLS_lulc_prop_4" "HAiFLS_lulc_prop_1" -#> [47] "HAiFLS_lulc_prop_2" "HAiFLS_lulc_prop_3" -#> [49] "HAiFLS_lulc_prop_4" "lumped_lulc_var_1_mean" -#> [51] "lumped_lulc_var_2_mean" "lumped_lulc_var_1_sd" -#> [53] "lumped_lulc_var_2_sd" "lumped_lulc_var_1_min" -#> [55] "lumped_lulc_var_2_min" "lumped_lulc_var_1_max" -#> [57] "lumped_lulc_var_2_max" "lumped_lulc_var_1_cell_count" -#> [59] "lumped_lulc_var_2_cell_count" "lumped_lulc_var_1_NA_cell_count" -#> [61] "lumped_lulc_var_2_NA_cell_count" "lumped_lulc_var_1_distwtd_mean" -#> [63] "lumped_lulc_var_2_distwtd_mean" "lumped_lulc_var_1_distwtd_sd" -#> [65] "lumped_lulc_var_2_distwtd_sd" "iEucO_lulc_var_1_distwtd_mean" -#> [67] "iEucO_lulc_var_2_distwtd_mean" "iEucO_lulc_var_1_distwtd_sd" -#> [69] "iEucO_lulc_var_2_distwtd_sd" "iFLO_lulc_var_1_distwtd_mean" -#> [71] "iFLO_lulc_var_2_distwtd_mean" "iFLO_lulc_var_1_distwtd_sd" -#> [73] "iFLO_lulc_var_2_distwtd_sd" "HAiFLO_lulc_var_1_distwtd_mean" -#> [75] "HAiFLO_lulc_var_2_distwtd_mean" "HAiFLO_lulc_var_1_distwtd_sd" -#> [77] "HAiFLO_lulc_var_2_distwtd_sd" "iEucS_lulc_var_1_distwtd_mean" -#> [79] "iEucS_lulc_var_2_distwtd_mean" "iEucS_lulc_var_1_distwtd_sd" -#> [81] "iEucS_lulc_var_2_distwtd_sd" "iFLS_lulc_var_1_distwtd_mean" -#> [83] "iFLS_lulc_var_2_distwtd_mean" "iFLS_lulc_var_1_distwtd_sd" -#> [85] "iFLS_lulc_var_2_distwtd_sd" "HAiFLS_lulc_var_1_distwtd_mean" -#> [87] "HAiFLS_lulc_var_2_distwtd_mean" "HAiFLS_lulc_var_1_distwtd_sd" -#> [89] "HAiFLS_lulc_var_2_distwtd_sd" "lumped_lulc_prop_var_1_3" -#> [91] "lumped_lulc_prop_var_1_10" "lumped_lulc_prop_var_1_2" -#> [93] "lumped_lulc_prop_var_2_22" "lumped_lulc_prop_var_2_29" -#> [95] "lumped_lulc_prop_var_2_21" "iEucO_lulc_prop_var_1_3" -#> [97] "iEucO_lulc_prop_var_1_10" "iEucO_lulc_prop_var_1_2" -#> [99] "iEucO_lulc_prop_var_2_22" "iEucO_lulc_prop_var_2_29" -#> [101] "iEucO_lulc_prop_var_2_21" "iFLO_lulc_prop_var_1_3" -#> [103] "iFLO_lulc_prop_var_1_10" "iFLO_lulc_prop_var_1_2" -#> [105] "iFLO_lulc_prop_var_2_22" "iFLO_lulc_prop_var_2_29" -#> [107] "iFLO_lulc_prop_var_2_21" "HAiFLO_lulc_prop_var_1_3" -#> [109] "HAiFLO_lulc_prop_var_1_10" "HAiFLO_lulc_prop_var_1_2" -#> [111] "HAiFLO_lulc_prop_var_2_22" "HAiFLO_lulc_prop_var_2_29" -#> [113] "HAiFLO_lulc_prop_var_2_21" "iEucS_lulc_prop_var_1_3" -#> [115] "iEucS_lulc_prop_var_1_10" "iEucS_lulc_prop_var_1_2" -#> [117] "iEucS_lulc_prop_var_2_22" "iEucS_lulc_prop_var_2_29" -#> [119] "iEucS_lulc_prop_var_2_21" "iFLS_lulc_prop_var_1_3" -#> [121] "iFLS_lulc_prop_var_1_10" "iFLS_lulc_prop_var_1_2" -#> [123] "iFLS_lulc_prop_var_2_22" "iFLS_lulc_prop_var_2_29" -#> [125] "iFLS_lulc_prop_var_2_21" "HAiFLS_lulc_prop_var_1_3" -#> [127] "HAiFLS_lulc_prop_var_1_10" "HAiFLS_lulc_prop_var_1_2" -#> [129] "HAiFLS_lulc_prop_var_2_22" "HAiFLS_lulc_prop_var_2_29" -#> [131] "HAiFLS_lulc_prop_var_2_21" +#> [1] "Site" "ndvi_lumped_mean" +#> [3] "var_1_lumped_mean" "var_2_lumped_mean" +#> [5] "ndvi_lumped_sd" "var_1_lumped_sd" +#> [7] "var_2_lumped_sd" "ndvi_lumped_min" +#> [9] "var_1_lumped_min" "var_2_lumped_min" +#> [11] "ndvi_lumped_max" "var_1_lumped_max" +#> [13] "var_2_lumped_max" "ndvi_lumped_distwtd_mean" +#> [15] "var_1_lumped_distwtd_mean" "var_2_lumped_distwtd_mean" +#> [17] "ndvi_lumped_distwtd_sd" "var_1_lumped_distwtd_sd" +#> [19] "var_2_lumped_distwtd_sd" "ndvi_iEucO_distwtd_mean" +#> [21] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" +#> [23] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" +#> [25] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" +#> [27] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" +#> [29] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" +#> [31] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" +#> [33] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" +#> [35] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" +#> [37] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" +#> [39] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" +#> [41] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" +#> [43] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" +#> [45] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" +#> [47] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" +#> [49] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" +#> [51] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" +#> [53] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" +#> [55] "var_2_HAiFLS_distwtd_sd" "lulc_1_lumped_prop" +#> [57] "lulc_2_lumped_prop" "lulc_3_lumped_prop" +#> [59] "lulc_4_lumped_prop" "var_1_2_lumped_prop" +#> [61] "var_1_3_lumped_prop" "var_1_10_lumped_prop" +#> [63] "var_2_21_lumped_prop" "var_2_22_lumped_prop" +#> [65] "var_2_29_lumped_prop" "lulc_1_iEucO_prop" +#> [67] "lulc_2_iEucO_prop" "lulc_3_iEucO_prop" +#> [69] "lulc_4_iEucO_prop" "var_1_2_iEucO_prop" +#> [71] "var_1_3_iEucO_prop" "var_1_10_iEucO_prop" +#> [73] "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" +#> [75] "var_2_29_iEucO_prop" "lulc_1_iFLO_prop" +#> [77] "lulc_2_iFLO_prop" "lulc_3_iFLO_prop" +#> [79] "lulc_4_iFLO_prop" "var_1_2_iFLO_prop" +#> [81] "var_1_3_iFLO_prop" "var_1_10_iFLO_prop" +#> [83] "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" +#> [85] "var_2_29_iFLO_prop" "lulc_1_HAiFLO_prop" +#> [87] "lulc_2_HAiFLO_prop" "lulc_3_HAiFLO_prop" +#> [89] "lulc_4_HAiFLO_prop" "var_1_2_HAiFLO_prop" +#> [91] "var_1_3_HAiFLO_prop" "var_1_10_HAiFLO_prop" +#> [93] "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" +#> [95] "var_2_29_HAiFLO_prop" "lulc_1_iEucS_prop" +#> [97] "lulc_2_iEucS_prop" "lulc_3_iEucS_prop" +#> [99] "lulc_4_iEucS_prop" "var_1_2_iEucS_prop" +#> [101] "var_1_3_iEucS_prop" "var_1_10_iEucS_prop" +#> [103] "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" +#> [105] "var_2_29_iEucS_prop" "lulc_1_iFLS_prop" +#> [107] "lulc_2_iFLS_prop" "lulc_3_iFLS_prop" +#> [109] "lulc_4_iFLS_prop" "var_1_2_iFLS_prop" +#> [111] "var_1_3_iFLS_prop" "var_1_10_iFLS_prop" +#> [113] "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" +#> [115] "var_2_29_iFLS_prop" "lulc_1_HAiFLS_prop" +#> [117] "lulc_2_HAiFLS_prop" "lulc_3_HAiFLS_prop" +#> [119] "lulc_4_HAiFLS_prop" "var_1_2_HAiFLS_prop" +#> [121] "var_1_3_HAiFLS_prop" "var_1_10_HAiFLS_prop" +#> [123] "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" +#> [125] "var_2_29_HAiFLS_prop" ``` Now - like any good environmental scientist - you have more variables @@ -1331,7 +1394,21 @@ and/or metrics than sites. [Back to top](#contents) -## 6.0 Future plans +## 6.0 Processing large amounts of data + +Processing large amounts of data (both in number of predictor variables +and sites) can be challenging. The fastest method depends on the size of +the region, the spatial resolution, numbers of predictors and sites, and +available memory. + +``` r + +# Coming soon!!! +``` + +[Back to top](#contents) + +## 7.0 Future plans This package was implemented to mostly serve our purposes and is functional enough. There is probably lots of room for improvement that @@ -1349,7 +1426,7 @@ The core functions should stay the same but we would like to: [Back to top](#contents) -## 7.0 Acknowledgements +## 8.0 Acknowledgements Thank you to for early review/testing (alphabetical order): @@ -1362,7 +1439,7 @@ Engineering Research Council of Canada Strategic Partnership Grant [Back to top](#contents) -## 8.0 References +## 9.0 References Kielstra, B. W., Chau, J., & Richardson, J. S. (2019). Measuring function and structure of urban headwater streams with citizen @@ -1398,7 +1475,7 @@ Wu, Q. (2020). whitebox: ‘WhiteboxTools’ R Frontend. R package version [Back to top](#contents) -## 9.0 Copyright +## 10.0 Copyright Copyright (C) 2021 Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada diff --git a/man/process_input.Rd b/man/process_input.Rd index a6ceac8..bdf52b4 100644 --- a/man/process_input.Rd +++ b/man/process_input.Rd @@ -1,5 +1,5 @@ % Generated by roxygen2: do not edit by hand -% Please edit documentation in R/hydroweight_uitility.R +% Please edit documentation in R/process_input.R \name{process_input} \alias{process_input} \title{Process Input GIS files into target format and clip} diff --git a/settings.json b/settings.json index 0e8599c..353c1ef 100644 --- a/settings.json +++ b/settings.json @@ -3,4 +3,4 @@ "working_directory": "", "compress_rasters": false, "max_procs": -1 -} \ No newline at end of file +} From 8c78dd1093e9ff2793c86c4502cf3b6edc15e3bd Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Sun, 21 Aug 2022 21:41:30 -0400 Subject: [PATCH 66/85] fixed loi_numeric_stats not being respected --- R/hydroweight_attributes.R | 29 +++++++++++++++++++---------- 1 file changed, 19 insertions(+), 10 deletions(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index d4b5f69..1f6222a 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -197,18 +197,27 @@ hydroweight_attributes <- function(loi, if (loi_numeric == TRUE) { ## Weighted mean - loi_distwtd_mean <- unlist(loi_sum) / unlist(distance_weights_sum) - names(loi_distwtd_mean)<-paste0(names(loi),"_",names(dw),"_distwtd_mean") - - ## Weighted standard deviation - ## https://stats.stackexchange.com/questions/6534/how-do-i-calculate-a-weighted-standard-deviation-in-excel - term1 <- terra::global((dw * (loi - unlist(loi_distwtd_mean))^2), fun = "sum", na.rm = TRUE) - M <- terra::global(dw != 0, fun="sum", na.rm = T) - term2 <- ((M - 1) / M) * distance_weights_sum + if (any(loi_numeric_stats %in% c("distwtd_mean","distwtd_sd"))){ + loi_distwtd_mean <- unlist(loi_sum) / unlist(distance_weights_sum) + names(loi_distwtd_mean)<-paste0(names(loi),"_",names(dw),"_distwtd_mean") + } else { + loi_distwtd_mean<-NULL + } - loi_distwtd_sd <- sqrt(unlist(term1) / unlist(term2)) - names(loi_distwtd_sd)<-paste0(names(loi),"_",names(dw),"_distwtd_sd") + if (any(loi_numeric_stats %in% "distwtd_sd")){ + ## Weighted standard deviation + ## https://stats.stackexchange.com/questions/6534/how-do-i-calculate-a-weighted-standard-deviation-in-excel + term1 <- terra::global((dw * (loi - unlist(loi_distwtd_mean))^2), fun = "sum", na.rm = TRUE) + M <- terra::global(dw != 0, fun="sum", na.rm = T) + term2 <- ((M - 1) / M) * distance_weights_sum + + loi_distwtd_sd <- sqrt(unlist(term1) / unlist(term2)) + names(loi_distwtd_sd)<-paste0(names(loi),"_",names(dw),"_distwtd_sd") + }else { + loi_distwtd_sd<-NULL + } + if (!any(loi_numeric_stats %in% c("distwtd_mean"))) loi_distwtd_mean<-NULL loi_stats_temp<-list(distwtd_mean=loi_distwtd_mean, distwtd_sd=loi_distwtd_sd) From b41bf96cb6414b3876e3abee08e0efb0a7d089a0 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 22 Aug 2022 13:11:48 -0400 Subject: [PATCH 67/85] Fixed some issues in readme and help files --- R/hydroweight.R | 8 +++--- R/hydroweight_attributes.R | 1 + README.md | 29 +++++++++------------- man/figures/README-unnamed-chunk-10-1.png | Bin 169501 -> 169227 bytes man/figures/README-unnamed-chunk-11-1.png | Bin 105180 -> 105760 bytes man/hydroweight.Rd | 8 +++--- 6 files changed, 23 insertions(+), 23 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index af25a98..4a77d15 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -33,18 +33,20 @@ #' #' "HAiFLS" indicates d8 hydrologically-active (proportional to flow accumulation) flow-path distance to \code{target_S} #' -#' @param hydroweight_dir character. File path to write resulting .zip file. +#' @param hydroweight_dir character. File path to write resulting \code{*.zip} file. #' @param target_O character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/sample_point.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Target for iEucO or iFLO. #' @param target_S character (ffull file path with extension, e.g., "C:/Users/Administrator/Desktop/stream_lines.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Target for iEucS or iFLS. #' @param target_uid character. Unique identifier to precede exported list \code{*.rds} (i.e., "target_uid"_inv_distances.rds) #' @param OS_combine logical. Should target_O and target_S be merged as targets for iEucS, iFLS, and/or HAiFLS? Use \code{TRUE} or \code{FALSE}. This allows cells surrounding \code{target_O} to flow directly into \code{target_O} rather than be forced through \code{target_S}. -#' @param clip_region character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Region over which distances are calculated. and if character, loads the file, converts to \code{sf}, exports, and clips using \code{whitebox}. +#' @param clip_region character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Region over which distances are calculated. #' @param dem character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/dem.tif"), \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of GeoTiFF type. Digital elevation model raster. #' @param flow_accum character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/flow_accum.tif"), \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of GeoTiFF type. Flow accumulation raster (units: # of cells). #' @param weighting_scheme character. One or more weighting schemes: c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS") #' @param inv_function function or named list of functions based on \code{weighting_scheme} names. Inverse function used in \code{terra::app()} to convert distances to inverse distances. Default: \code{(X * 0.001 + 1)^-1} assumes projection is in distance units of m and converts to distance units of km. +#' @param return_products logical. If \code{TRUE}, a list containing the file path to write resulting \code{*.zip} file, and \code{distance_weights} raster. If \code{FALSE}, file path only. #' @param clean_tempfiles logical. Should temporary files be removed? -#' @return Named list of \code{PackedSpatRaster} distance-weighted rasters and accompanying \code{*.zip} in \code{hydroweight_dir} +#' +#' @return Named list of \code{PackedSpatRaster} distance-weighted rasters and location of accompanying \code{*.zip} in \code{hydroweight_dir} #' @export #' hydroweight <- function(hydroweight_dir, diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 1f6222a..300fe0a 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -22,6 +22,7 @@ #' @param distance_weights character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/idw.rds", or "idw.zip"), \code{list}. The distance-weighted rasters output from \code{hydroweight}. #' @param remove_region character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Regions to remove when summarizing the attributes (e.g., remove lake from catchment) #' @param return_products logical. If \code{TRUE}, a list containing attribute summary table, the \code{roi-} and \code{remove_region}-masked layer (i.e., all cells contributing to attribute calculation), and \code{distance_weights} raster. If \code{FALSE}, attribute summary table only. +#' #' @return If \code{return_products = TRUE}, a list containing 1) attribute summary table, and 2) a list of return_products of \code{length(distance_weights)} where each list element contains a list of 2 sub-elements: 1) \code{roi-} and \code{remove_region}-masked \code{loi} (i.e., all cells contributing to attribute calculation), and 2) the \code{roi-} and \code{remove_region}-masked \code{distance_weights} raster. If \code{return_products = FALSE}, attribute summary table only. #' @export diff --git a/README.md b/README.md index 7d378e0..01d4f28 100644 --- a/README.md +++ b/README.md @@ -523,9 +523,9 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { return(hw_test_xx) } -#> Running hydroweight for site 1 at 2022-08-21 20:41:58 -#> Running hydroweight for site 2 at 2022-08-21 20:42:00 -#> Running hydroweight for site 3 at 2022-08-21 20:42:03 +#> Running hydroweight for site 1 at 2022-08-22 09:07:15 +#> Running hydroweight for site 2 at 2022-08-22 09:07:18 +#> Running hydroweight for site 3 at 2022-08-22 09:07:21 hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## Resultant structure: @@ -640,16 +640,12 @@ for each `roi`:`loi` combination are calculated using

-where -![n](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;n "n") -is the number of cells, -![w_i](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;w_i "w_i") -are the cell weights, and -![x_i](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;x_i "x_i") -are `loi` cell values, -![m](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;m "m") +where ![n](https://latex.codecogs.com/png.latex?n "n") is the number of +cells, ![w_i](https://latex.codecogs.com/png.latex?w_i "w_i") are the +cell weights, and ![x_i](https://latex.codecogs.com/png.latex?x_i "x_i") +are `loi` cell values, ![m](https://latex.codecogs.com/png.latex?m "m") is the number or non-zero weights, and -![\bar{x}^\*](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;%5Cbar%7Bx%7D%5E%2A "\bar{x}^*") +![\bar{x}^\*](https://latex.codecogs.com/png.latex?%5Cbar%7Bx%7D%5E%2A "\bar{x}^*") is the weighted mean. For categorical inputs, the proportion for each `roi`:`loi` combination is calculated using @@ -658,11 +654,10 @@ is the weighted mean. For categorical inputs, the proportion for each

where -![I(k_i)=1](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;I%28k_i%29%3D1 "I(k_i)=1") -when category -![k](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;k "k") -is present in a cell or -![I(k_i)=0](https://latex.codecogs.com/png.image?%5Cdpi%7B110%7D&space;%5Cbg_white&space;I%28k_i%29%3D0 "I(k_i)=0") +![I(k_i)=1](https://latex.codecogs.com/png.latex?I%28k_i%29%3D1 "I(k_i)=1") +when category ![k](https://latex.codecogs.com/png.latex?k "k") is +present in a cell or +![I(k_i)=0](https://latex.codecogs.com/png.latex?I%28k_i%29%3D0 "I(k_i)=0") when not. 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zBAoGy%pz8YV2hXM(%TMH9jf_N%Wkt<*d}YqE9Dg?NlTr!$lZJ}=hQcma~f(#gVvla zax*#cE+ygM^3@v-ePA=Gy|P&B)4rQFn_izj1U&Witt`Lb=g$kIURfR$h%aPaUToaU z{!m^0Yt@TIlHG;b7F(RcOrKlTob8IQ2Y0x+7fcFbci=8?D{(SWdbncow4ELwpEKw_ zn|wLIeeb+i>plrPH)UC@jQi?o%@Fk$7||m4JqjOf3p*?PrnbWP(gV*27bl9elxGz0 z^(bGVr1d7_LztGF?5VKA)LnfW_+FHkiHY^~oyeW>OzWsh-Fc2Rinfj}mk%slxjjkJ ze1VzN?JMP03k+X}7cK@b`0Qs7aIexlDE=&Q?xx*e7W16nq@uUbORJYN*mJbcyf8uF_w##9J$rtd8Tgu>`}OPhkr&Pe(`Dinv-Fpz z@|tH9UG-G1`T8p@`gMCnmt&^y1>t__hfg+a{pw%w6gWXBHjy!^@DFo?7_a{hD_h+a zzt{QHFkUE|1NN7Nw-#|+TqSFg7!Z}QbVhDi??ngi zA75(T^?taQSz9?>H0wZfbNwOh|LTk;?tNKG%qH&sz$GDl^ZIx$$k@tCF0ceHeRC-O vQj*f}?8Qsq(y5D=fhE)8<;sIr;g9;;6Q+cIT6AX`0}yz+`njxgN@xNAm?uk= From a6333c4b4daddc04b89a8398d395a04df96529d4 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 15 Sep 2022 05:30:32 -0600 Subject: [PATCH 71/85] removed sf::read_sf() from process_input() --- R/process_input.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/process_input.R b/R/process_input.R index 1b8c192..dcbda54 100644 --- a/R/process_input.R +++ b/R/process_input.R @@ -51,7 +51,7 @@ process_input<-function(input=NULL, # Reconcile Types --------------------------------------------------------- if (inherits(input,"character")){ if (grepl("\\.shp$",input)) { - output<-terra::vect(sf::read_sf(input)) # terra seems to have trouble reading crs sometimes + output<-terra::vect(input) # terra seems to have trouble reading crs sometimes (sf::read_sf()) } else if (grepl("\\.tif$|\\.tiff",input)) { output<-terra::rast(input) } else { From 6525acad91ed02261e2a09efdd151ca39968e67b Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 22 Sep 2022 11:04:02 -0400 Subject: [PATCH 72/85] Added support for distance_weights to be specified as a list of file paths or SpatRaster objects --- R/hydroweight_attributes.R | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 300fe0a..d726310 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -53,8 +53,17 @@ hydroweight_attributes <- function(loi, if (!dir.exists(own_tempdir)) dir.create(own_tempdir) terra::terraOptions(tempdir = own_tempdir, verbose=F) - if (inherits(distance_weights,"character")){ - if (grepl("\\.rds$",distance_weights)) { + if (inherits(distance_weights,"list")){ + if ((inherits(distance_weights[[1]],"character") & grepl("\\.tif$",distance_weights[[1]])) | + inherits(distance_weights[[1]],"PackedSpatRaster")) { + distance_weights<-lapply(distance_weights,terra::rast) + } else if (inherits(distance_weights[[1]],"SpatRaster")) { + distance_weights<-distance_weights + } + } else if (inherits(distance_weights,"character")){ + if (grepl("\\.tif$",distance_weights)) { + distance_weights<-lapply(distance_weights,terra::rast) + } else if (grepl("\\.rds$",distance_weights)) { distance_weights<-readRDS(distance_weights) } else { if (grepl("\\.zip$",distance_weights)) { @@ -62,7 +71,7 @@ hydroweight_attributes <- function(loi, fls<-file.path("/vsizip",distance_weights,fls$Name) distance_weights<-lapply(fls,terra::rast) names(distance_weights)<-sapply(distance_weights,names) - } else stop("'distance_weights' must be specified as .rds or .zip file") + } else stop("'distance_weights' must be specified as .rds or .zip file, or a list of file paths or SpatRast objects") } } From 254a4ad412c44efade4e1abd1fd358efbb2fc199 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 22 Sep 2022 12:29:03 -0400 Subject: [PATCH 73/85] Changed order of roi processing for improved performance. Distance weighted variables no longer calculated on lumped weights --- R/hydroweight_attributes.R | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index d726310..13b8a43 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -76,6 +76,7 @@ hydroweight_attributes <- function(loi, } distance_weights<-lapply(distance_weights,function(x) if (inherits(x,"PackedSpatRaster")) terra::rast(x) else x) + names(distance_weights)<-lapply(distance_weights,names) # Prepare roi data ------------------------------------------------------ if (is.null(roi)) { @@ -85,7 +86,7 @@ hydroweight_attributes <- function(loi, } else { roi<-process_input(input = roi, input_name="roi", - target = distance_weights[[1]], + #target = distance_weights[[1]], clip_region=distance_weights[[1]], resample_type="near", working_dir=own_tempdir) @@ -101,6 +102,15 @@ hydroweight_attributes <- function(loi, working_dir=own_tempdir) if (!is.null(remove_region)) { + roi<-process_input(input = roi, + input_name="roi", + target = distance_weights[[1]], + clip_region=distance_weights[[1]], + resample_type="near", + working_dir=own_tempdir) + roi<-roi[[1]] + names(roi)<-"roi" + remove_region<-remove_region[[1]] names(remove_region)<-"remove_region" @@ -196,7 +206,7 @@ hydroweight_attributes <- function(loi, ) # Weighted statistics ----------------------------------------------------- - distance_weights_attributes <- lapply(distance_weights, function(dw) { + distance_weights_attributes <- lapply(distance_weights[sapply(distance_weights,names)!="lumped"], function(dw) { loi_dist <- loi * dw names(loi_dist) <- names(loi) From 9909bcb5e1da9e5f304852e3b754deef9117d6df Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 22 Sep 2022 12:59:46 -0400 Subject: [PATCH 74/85] Fixed roi subsetting when length>1 --- R/hydroweight_attributes.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 13b8a43..93ea703 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -90,7 +90,8 @@ hydroweight_attributes <- function(loi, clip_region=distance_weights[[1]], resample_type="near", working_dir=own_tempdir) - roi<-roi[[1]] + if (length(roi)>1 & inherits(roi,"SpatRaster")) roi<-roi[[1]] + if (length(roi)>1 & inherits(roi,"SpatVector")) roi<-roi[,1] names(roi)<-"roi" } From f50b1fe6c98cf151a87e88f69058dbf9c2b70e4c Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 22 Sep 2022 14:48:18 -0400 Subject: [PATCH 75/85] Replaced NAs for missing proportions with 0s. --- R/hydroweight_attributes.R | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 93ea703..eef474f 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -283,7 +283,9 @@ hydroweight_attributes <- function(loi, final_out_table_nms<-unlist(final_out_table_nms) final_out_table<-tibble::enframe(unlist(final_out_table)) %>% - tidyr::pivot_wider() + tidyr::pivot_wider() %>% + mutate(across(ends_with("_prop"),~ifelse(is.na(.),0,.))) + colnames(final_out_table)<-final_out_table_nms return_list <- list(attribute_table=final_out_table) From d11e2dbe8610a683872d57fd4405da9620093583 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 22 Sep 2022 23:34:01 -0400 Subject: [PATCH 76/85] Fixed hydroweight_attributes being exported as characters --- R/hydroweight_attributes.R | 1 + 1 file changed, 1 insertion(+) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index eef474f..6b54969 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -284,6 +284,7 @@ hydroweight_attributes <- function(loi, final_out_table<-tibble::enframe(unlist(final_out_table)) %>% tidyr::pivot_wider() %>% + mutate(across(c(everything(),-any_of(roi_uid_col)),as.numeric)) %>% mutate(across(ends_with("_prop"),~ifelse(is.na(.),0,.))) colnames(final_out_table)<-final_out_table_nms From 032a84dd676715bb41873d2a455a15ef914b2876 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Fri, 23 Sep 2022 12:14:06 -0400 Subject: [PATCH 77/85] Fixed roi subselection and added lumped rasters back into returned products for hw_attrib --- R/hydroweight_attributes.R | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 6b54969..f860824 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -91,7 +91,7 @@ hydroweight_attributes <- function(loi, resample_type="near", working_dir=own_tempdir) if (length(roi)>1 & inherits(roi,"SpatRaster")) roi<-roi[[1]] - if (length(roi)>1 & inherits(roi,"SpatVector")) roi<-roi[,1] + if (inherits(roi,"SpatVector") && ncol(roi)>1) roi<-roi[,names(roi)[1]] names(roi)<-"roi" } @@ -276,6 +276,12 @@ hydroweight_attributes <- function(loi, }) } + # Add lumped raster to output in return_products=T + if ("lumped" %in% sapply(distance_weights,names)){ + distance_weights_attributes$lumped<-list(loi_dist_rast=loi) + } + + # Process final table ----------------------------------------------------- final_out_table<-lapply(distance_weights_attributes,function(x) x[names(x) != "loi_dist_rast"]) final_out_table<-c(loi_stats,final_out_table) From 4a3aeeb33a77cba6884a36c72e00c7f5c904bb75 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Fri, 23 Sep 2022 12:32:04 -0400 Subject: [PATCH 78/85] updated readme --- README.Rmd | 67 ++--- README.md | 344 ++++++++++------------ man/figures/README-unnamed-chunk-10-1.png | Bin 169844 -> 169484 bytes man/figures/README-unnamed-chunk-11-1.png | Bin 105401 -> 90680 bytes man/figures/README-unnamed-chunk-13-1.png | Bin 29555 -> 35360 bytes man/figures/README-unnamed-chunk-6-1.png | Bin 41634 -> 38706 bytes man/figures/README-unnamed-chunk-7-1.png | Bin 19637 -> 19830 bytes 7 files changed, 186 insertions(+), 225 deletions(-) diff --git a/README.Rmd b/README.Rmd index bf1aeab..4ee18a6 100644 --- a/README.Rmd +++ b/README.Rmd @@ -186,7 +186,7 @@ library(mapview) ## Import toy_dem from whitebox package toy_file<-sample_dem_data() toy_file <- system.file("extdata", "DEM.tif", package = "whitebox") -toy_dem <- rast(raster::raster(x = toy_file)) # reading the file from terra directly sometimes crashes R for some reason +toy_dem <- rast(x = toy_file) # reading the file from terra directly sometimes crashes R for some reason crs(toy_dem) <- "epsg:3161" ## Generate hydroweight_dir as a temporary directory @@ -393,7 +393,7 @@ hw_test_1$HAiFLO<-log(hw_test_1$HAiFLO) # These two weighting schemes can get va hw_test_1$HAiFLS<-log(hw_test_1$HAiFLS) # log transformation improves visualization plot(rast(c(hw_test_1[1:4],hw_test_1$lumped,hw_test_1[5:7])), - legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1.25,1.25,1.25,1.25),reset=T,cex.main = 1.25) ``` @@ -474,7 +474,7 @@ hw_test_4$HAiFLO<-log(hw_test_4$HAiFLO) # These two weighting schemes can get va hw_test_4$HAiFLS<-log(hw_test_4$HAiFLS) # log transformation improves visualization plot(rast(c(hw_test_4[1:4],hw_test_4$lumped,hw_test_4[5:7])), - legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T,cex.main = 1.25) ``` @@ -717,25 +717,22 @@ legend("bottom", ```{r, fig.width=7, fig.height=14, message = FALSE, error = FALSE} ## Plot results -par(mfrow = c(3, 2), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -## Lumped -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights") -plot(hw_test_1$lumped, axes = F, legend = F, col = "yellow", add = TRUE) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], axes = F, legend = F, col = viridis(101), add = TRUE) +plot( + rast( + list( + hw_test_1$lumped,hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], + hw_test_1$iFLO,hwa_test_numeric$return_products$iFLO$loi_dist_rast[[1]], + hw_test_1$HAiFLS,hwa_test_numeric$return_products$HAiFLS$loi_dist_rast[[1]] + )), + col=viridis(50), + main=c("Lumped - distance_weights","Lumped - distance_weights * ndvi", + "iFLO - distance_weights","iFLO - distance_weights * ndvi", + "HAiFLS - distance_weights","HAiFLS - distance_weights * ndvi"), + axes = F, legend = F,cex.main = 1.25, + nc=2,mar=c(1.5,1.5,1.5,1.5),reset=T) + -## iEucO -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights") -plot(hw_test_1$iEucO, axes = F, legend = F, col = viridis(101), add = TRUE) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iEucO$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) - -## iFLS -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights") -plot(hw_test_1$iFLS, axes = F, legend = F, col = viridis(101), add = TRUE) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iFLS$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) ``` [Back to top](#contents) @@ -837,21 +834,21 @@ plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_2, axes = F, legend = F, col = viridis(101), add = TRUE ) -## iFLS -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS") -plot(hw_test_1$iFLS, +## HAiFLS +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS") +plot(hw_test_1$HAiFLS, axes = F, legend = F, col = "yellow", add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_4, +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS - loi * lulc (cat: 4)") +plot(hwa_test_categorical$return_products$HAiFLS$loi_dist_rast$lulc1_4, axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_3, +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS - loi * lulc (cat: 3)") +plot(hwa_test_categorical$return_products$HAiFLS$loi_dist_rast$lulc1_3, axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_2, +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS - loi * lulc (cat: 2)") +plot(hwa_test_categorical$return_products$HAiFLS$loi_dist_rast$lulc1_2, axes = F, legend = F, col = viridis(101), add = TRUE ) ``` @@ -986,7 +983,8 @@ look pretty: cl <- parallel::makeCluster(3) doParallel::registerDoParallel(cl) -sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { #note other parallel backends work as well (i.e., future.apply) +sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { + #note other parallel backends work as well (i.e., future.apply) #when running in with foreach parallel, must specify libraries in function call require(sf) require(terra) @@ -1129,7 +1127,7 @@ plan(list( #nested loop - note can be memory intensive sites_attributes_products<-future_lapply(split(tg_O_multi_catchment,tg_O_multi_catchment$Site), function(xx){ write_sf(xx,file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp"))) - + ## Consistent arguments to hydroweight_attributes, not loi-specific. See ?hydroweight_attributes loi_consist <- list( roi = file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp")), @@ -1169,13 +1167,6 @@ sites_attributes_df<-map_dfr(sites_attributes_products, #rbind sites reduce(left_join) # join numeric and categorical summaries ) -## If a raster category was missing in a site's catchment but was present in another site's, -## that record would be filled with NA according to left_join. Need to fix this. -## This is only true for columns containing "prop". - -sites_attributes_df <- sites_attributes_df %>% - mutate(across(ends_with("_prop"),~if_else(is.na(.),0,.))) - ## Final data frame colnames(sites_attributes_df) ``` diff --git a/README.md b/README.md index b85c76d..7c65a11 100644 --- a/README.md +++ b/README.md @@ -183,7 +183,7 @@ library(mapview) ## Import toy_dem from whitebox package toy_file<-sample_dem_data() toy_file <- system.file("extdata", "DEM.tif", package = "whitebox") -toy_dem <- rast(raster::raster(x = toy_file)) # reading the file from terra directly sometimes crashes R for some reason +toy_dem <- rast(x = toy_file) # reading the file from terra directly sometimes crashes R for some reason crs(toy_dem) <- "epsg:3161" ## Generate hydroweight_dir as a temporary directory @@ -394,7 +394,7 @@ hw_test_1$HAiFLO<-log(hw_test_1$HAiFLO) # These two weighting schemes can get va hw_test_1$HAiFLS<-log(hw_test_1$HAiFLS) # log transformation improves visualization plot(rast(c(hw_test_1[1:4],hw_test_1$lumped,hw_test_1[5:7])), - legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1.25,1.25,1.25,1.25),reset=T,cex.main = 1.25) ``` @@ -475,7 +475,7 @@ hw_test_4$HAiFLO<-log(hw_test_4$HAiFLO) # These two weighting schemes can get va hw_test_4$HAiFLS<-log(hw_test_4$HAiFLS) # log transformation improves visualization plot(rast(c(hw_test_4[1:4],hw_test_4$lumped,hw_test_4[5:7])), - legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T,cex.main = 1.25) ``` @@ -523,9 +523,9 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { return(hw_test_xx) } -#> Running hydroweight for site 1 at 2022-08-30 14:26:16 -#> Running hydroweight for site 2 at 2022-08-30 14:26:18 -#> Running hydroweight for site 3 at 2022-08-30 14:26:19 +#> Running hydroweight for site 1 at 2022-09-23 12:19:43 +#> Running hydroweight for site 2 at 2022-09-23 12:20:31 +#> Running hydroweight for site 3 at 2022-09-23 12:21:33 hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## Resultant structure: @@ -710,21 +710,19 @@ names(hwa_test_numeric$attribute_table) #> [7] "ndvi2_lumped_median" "ndvi1_lumped_min" #> [9] "ndvi2_lumped_min" "ndvi1_lumped_max" #> [11] "ndvi2_lumped_max" "ndvi1_lumped_cell_count" -#> [13] "ndvi2_lumped_cell_count" "ndvi1_lumped_distwtd_mean" -#> [15] "ndvi2_lumped_distwtd_mean" "ndvi1_lumped_distwtd_sd" -#> [17] "ndvi2_lumped_distwtd_sd" "ndvi1_iEucO_distwtd_mean" -#> [19] "ndvi2_iEucO_distwtd_mean" "ndvi1_iEucO_distwtd_sd" -#> [21] "ndvi2_iEucO_distwtd_sd" "ndvi1_iFLO_distwtd_mean" -#> [23] "ndvi2_iFLO_distwtd_mean" "ndvi1_iFLO_distwtd_sd" -#> [25] "ndvi2_iFLO_distwtd_sd" "ndvi1_HAiFLO_distwtd_mean" -#> [27] "ndvi2_HAiFLO_distwtd_mean" "ndvi1_HAiFLO_distwtd_sd" -#> [29] "ndvi2_HAiFLO_distwtd_sd" "ndvi1_iEucS_distwtd_mean" -#> [31] "ndvi2_iEucS_distwtd_mean" "ndvi1_iEucS_distwtd_sd" -#> [33] "ndvi2_iEucS_distwtd_sd" "ndvi1_iFLS_distwtd_mean" -#> [35] "ndvi2_iFLS_distwtd_mean" "ndvi1_iFLS_distwtd_sd" -#> [37] "ndvi2_iFLS_distwtd_sd" "ndvi1_HAiFLS_distwtd_mean" -#> [39] "ndvi2_HAiFLS_distwtd_mean" "ndvi1_HAiFLS_distwtd_sd" -#> [41] "ndvi2_HAiFLS_distwtd_sd" +#> [13] "ndvi2_lumped_cell_count" "ndvi1_iEucO_distwtd_mean" +#> [15] "ndvi2_iEucO_distwtd_mean" "ndvi1_iEucO_distwtd_sd" +#> [17] "ndvi2_iEucO_distwtd_sd" "ndvi1_iFLO_distwtd_mean" +#> [19] "ndvi2_iFLO_distwtd_mean" "ndvi1_iFLO_distwtd_sd" +#> [21] "ndvi2_iFLO_distwtd_sd" "ndvi1_HAiFLO_distwtd_mean" +#> [23] "ndvi2_HAiFLO_distwtd_mean" "ndvi1_HAiFLO_distwtd_sd" +#> [25] "ndvi2_HAiFLO_distwtd_sd" "ndvi1_iEucS_distwtd_mean" +#> [27] "ndvi2_iEucS_distwtd_mean" "ndvi1_iEucS_distwtd_sd" +#> [29] "ndvi2_iEucS_distwtd_sd" "ndvi1_iFLS_distwtd_mean" +#> [31] "ndvi2_iFLS_distwtd_mean" "ndvi1_iFLS_distwtd_sd" +#> [33] "ndvi2_iFLS_distwtd_sd" "ndvi1_HAiFLS_distwtd_mean" +#> [35] "ndvi2_HAiFLS_distwtd_mean" "ndvi1_HAiFLS_distwtd_sd" +#> [37] "ndvi2_HAiFLS_distwtd_sd" hwa_test_numeric$return_products<-lapply(hwa_test_numeric$return_products,function(x) lapply(x,rast)) @@ -756,25 +754,20 @@ legend("bottom", ``` r ## Plot results -par(mfrow = c(3, 2), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -## Lumped -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights") -plot(hw_test_1$lumped, axes = F, legend = F, col = "yellow", add = TRUE) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], axes = F, legend = F, col = viridis(101), add = TRUE) - -## iEucO -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights") -plot(hw_test_1$iEucO, axes = F, legend = F, col = viridis(101), add = TRUE) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iEucO$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) - -## iFLS -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights") -plot(hw_test_1$iFLS, axes = F, legend = F, col = viridis(101), add = TRUE) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iFLS$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) +plot( + rast( + list( + hw_test_1$lumped,hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], + hw_test_1$iFLO,hwa_test_numeric$return_products$iFLO$loi_dist_rast[[1]], + hw_test_1$HAiFLS,hwa_test_numeric$return_products$HAiFLS$loi_dist_rast[[1]] + )), + col=viridis(50), + main=c("Lumped - distance_weights","Lumped - distance_weights * ndvi", + "iFLO - distance_weights","iFLO - distance_weights * ndvi", + "HAiFLS - distance_weights","HAiFLS - distance_weights * ndvi"), + axes = F, legend = F,cex.main = 1.25, + nc=2,mar=c(1.5,1.5,1.5,1.5),reset=T) ``` @@ -811,25 +804,23 @@ hwa_test_categorical <- hydroweight_attributes( return_products = TRUE ) names(hwa_test_categorical$attribute_table) -#> [1] "Lake" "lulc1_1_lumped_prop" "lulc1_2_lumped_prop" -#> [4] "lulc1_3_lumped_prop" "lulc1_4_lumped_prop" "lulc2_1_lumped_prop" -#> [7] "lulc2_2_lumped_prop" "lulc2_3_lumped_prop" "lulc2_4_lumped_prop" -#> [10] "lulc1_1_iEucO_prop" "lulc1_2_iEucO_prop" "lulc1_3_iEucO_prop" -#> [13] "lulc1_4_iEucO_prop" "lulc2_1_iEucO_prop" "lulc2_2_iEucO_prop" -#> [16] "lulc2_3_iEucO_prop" "lulc2_4_iEucO_prop" "lulc1_1_iFLO_prop" -#> [19] "lulc1_2_iFLO_prop" "lulc1_3_iFLO_prop" "lulc1_4_iFLO_prop" -#> [22] "lulc2_1_iFLO_prop" "lulc2_2_iFLO_prop" "lulc2_3_iFLO_prop" -#> [25] "lulc2_4_iFLO_prop" "lulc1_1_HAiFLO_prop" "lulc1_2_HAiFLO_prop" -#> [28] "lulc1_3_HAiFLO_prop" "lulc1_4_HAiFLO_prop" "lulc2_1_HAiFLO_prop" -#> [31] "lulc2_2_HAiFLO_prop" "lulc2_3_HAiFLO_prop" "lulc2_4_HAiFLO_prop" -#> [34] "lulc1_1_iEucS_prop" "lulc1_2_iEucS_prop" "lulc1_3_iEucS_prop" -#> [37] "lulc1_4_iEucS_prop" "lulc2_1_iEucS_prop" "lulc2_2_iEucS_prop" -#> [40] "lulc2_3_iEucS_prop" "lulc2_4_iEucS_prop" "lulc1_1_iFLS_prop" -#> [43] "lulc1_2_iFLS_prop" "lulc1_3_iFLS_prop" "lulc1_4_iFLS_prop" -#> [46] "lulc2_1_iFLS_prop" "lulc2_2_iFLS_prop" "lulc2_3_iFLS_prop" -#> [49] "lulc2_4_iFLS_prop" "lulc1_1_HAiFLS_prop" "lulc1_2_HAiFLS_prop" -#> [52] "lulc1_3_HAiFLS_prop" "lulc1_4_HAiFLS_prop" "lulc2_1_HAiFLS_prop" -#> [55] "lulc2_2_HAiFLS_prop" "lulc2_3_HAiFLS_prop" "lulc2_4_HAiFLS_prop" +#> [1] "Lake" "lulc1_1_iEucO_prop" "lulc1_2_iEucO_prop" +#> [4] "lulc1_3_iEucO_prop" "lulc1_4_iEucO_prop" "lulc2_1_iEucO_prop" +#> [7] "lulc2_2_iEucO_prop" "lulc2_3_iEucO_prop" "lulc2_4_iEucO_prop" +#> [10] "lulc1_1_iFLO_prop" "lulc1_2_iFLO_prop" "lulc1_3_iFLO_prop" +#> [13] "lulc1_4_iFLO_prop" "lulc2_1_iFLO_prop" "lulc2_2_iFLO_prop" +#> [16] "lulc2_3_iFLO_prop" "lulc2_4_iFLO_prop" "lulc1_1_HAiFLO_prop" +#> [19] "lulc1_2_HAiFLO_prop" "lulc1_3_HAiFLO_prop" "lulc1_4_HAiFLO_prop" +#> [22] "lulc2_1_HAiFLO_prop" "lulc2_2_HAiFLO_prop" "lulc2_3_HAiFLO_prop" +#> [25] "lulc2_4_HAiFLO_prop" "lulc1_1_iEucS_prop" "lulc1_2_iEucS_prop" +#> [28] "lulc1_3_iEucS_prop" "lulc1_4_iEucS_prop" "lulc2_1_iEucS_prop" +#> [31] "lulc2_2_iEucS_prop" "lulc2_3_iEucS_prop" "lulc2_4_iEucS_prop" +#> [34] "lulc1_1_iFLS_prop" "lulc1_2_iFLS_prop" "lulc1_3_iFLS_prop" +#> [37] "lulc1_4_iFLS_prop" "lulc2_1_iFLS_prop" "lulc2_2_iFLS_prop" +#> [40] "lulc2_3_iFLS_prop" "lulc2_4_iFLS_prop" "lulc1_1_HAiFLS_prop" +#> [43] "lulc1_2_HAiFLS_prop" "lulc1_3_HAiFLS_prop" "lulc1_4_HAiFLS_prop" +#> [46] "lulc2_1_HAiFLS_prop" "lulc2_2_HAiFLS_prop" "lulc2_3_HAiFLS_prop" +#> [49] "lulc2_4_HAiFLS_prop" hwa_test_categorical$return_products<-lapply(hwa_test_categorical$return_products,function(x) lapply(x,rast)) @@ -899,21 +890,21 @@ plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_2, axes = F, legend = F, col = viridis(101), add = TRUE ) -## iFLS -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS") -plot(hw_test_1$iFLS, +## HAiFLS +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS") +plot(hw_test_1$HAiFLS, axes = F, legend = F, col = "yellow", add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 4)") -plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_4, +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS - loi * lulc (cat: 4)") +plot(hwa_test_categorical$return_products$HAiFLS$loi_dist_rast$lulc1_4, axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 3)") -plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_3, +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS - loi * lulc (cat: 3)") +plot(hwa_test_categorical$return_products$HAiFLS$loi_dist_rast$lulc1_3, axes = F, legend = F, col = viridis(101), add = TRUE ) -plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 2)") -plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_2, +plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "HAiFLS - loi * lulc (cat: 2)") +plot(hwa_test_categorical$return_products$HAiFLS$loi_dist_rast$lulc1_2, axes = F, legend = F, col = viridis(101), add = TRUE ) ``` @@ -968,21 +959,19 @@ names(hwa_test_numeric_polygon$attribute_table) #> [5] "var_2_lumped_sd" "var_1_lumped_min" #> [7] "var_2_lumped_min" "var_1_lumped_max" #> [9] "var_2_lumped_max" "var_1_lumped_cell_count" -#> [11] "var_2_lumped_cell_count" "var_1_lumped_distwtd_mean" -#> [13] "var_2_lumped_distwtd_mean" "var_1_lumped_distwtd_sd" -#> [15] "var_2_lumped_distwtd_sd" "var_1_iEucO_distwtd_mean" -#> [17] "var_2_iEucO_distwtd_mean" "var_1_iEucO_distwtd_sd" -#> [19] "var_2_iEucO_distwtd_sd" "var_1_iFLO_distwtd_mean" -#> [21] "var_2_iFLO_distwtd_mean" "var_1_iFLO_distwtd_sd" -#> [23] "var_2_iFLO_distwtd_sd" "var_1_HAiFLO_distwtd_mean" -#> [25] "var_2_HAiFLO_distwtd_mean" "var_1_HAiFLO_distwtd_sd" -#> [27] "var_2_HAiFLO_distwtd_sd" "var_1_iEucS_distwtd_mean" -#> [29] "var_2_iEucS_distwtd_mean" "var_1_iEucS_distwtd_sd" -#> [31] "var_2_iEucS_distwtd_sd" "var_1_iFLS_distwtd_mean" -#> [33] "var_2_iFLS_distwtd_mean" "var_1_iFLS_distwtd_sd" -#> [35] "var_2_iFLS_distwtd_sd" "var_1_HAiFLS_distwtd_mean" -#> [37] "var_2_HAiFLS_distwtd_mean" "var_1_HAiFLS_distwtd_sd" -#> [39] "var_2_HAiFLS_distwtd_sd" +#> [11] "var_2_lumped_cell_count" "var_1_iEucO_distwtd_mean" +#> [13] "var_2_iEucO_distwtd_mean" "var_1_iEucO_distwtd_sd" +#> [15] "var_2_iEucO_distwtd_sd" "var_1_iFLO_distwtd_mean" +#> [17] "var_2_iFLO_distwtd_mean" "var_1_iFLO_distwtd_sd" +#> [19] "var_2_iFLO_distwtd_sd" "var_1_HAiFLO_distwtd_mean" +#> [21] "var_2_HAiFLO_distwtd_mean" "var_1_HAiFLO_distwtd_sd" +#> [23] "var_2_HAiFLO_distwtd_sd" "var_1_iEucS_distwtd_mean" +#> [25] "var_2_iEucS_distwtd_mean" "var_1_iEucS_distwtd_sd" +#> [27] "var_2_iEucS_distwtd_sd" "var_1_iFLS_distwtd_mean" +#> [29] "var_2_iFLS_distwtd_mean" "var_1_iFLS_distwtd_sd" +#> [31] "var_2_iFLS_distwtd_sd" "var_1_HAiFLS_distwtd_mean" +#> [33] "var_2_HAiFLS_distwtd_mean" "var_1_HAiFLS_distwtd_sd" +#> [35] "var_2_HAiFLS_distwtd_sd" hwa_test_numeric_polygon$return_products<-lapply(hwa_test_numeric_polygon$return_products,function(x) lapply(x,rast)) ## Resultant structure @@ -1030,21 +1019,19 @@ hwa_test_categorical_polygon <- hydroweight_attributes( return_products = TRUE ) names(hwa_test_categorical_polygon$attribute_table) -#> [1] "Lake" "var_1_2_lumped_prop" "var_1_3_lumped_prop" -#> [4] "var_1_10_lumped_prop" "var_2_21_lumped_prop" "var_2_22_lumped_prop" -#> [7] "var_2_29_lumped_prop" "var_1_2_iEucO_prop" "var_1_3_iEucO_prop" -#> [10] "var_1_10_iEucO_prop" "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" -#> [13] "var_2_29_iEucO_prop" "var_1_2_iFLO_prop" "var_1_3_iFLO_prop" -#> [16] "var_1_10_iFLO_prop" "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" -#> [19] "var_2_29_iFLO_prop" "var_1_2_HAiFLO_prop" "var_1_3_HAiFLO_prop" -#> [22] "var_1_10_HAiFLO_prop" "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" -#> [25] "var_2_29_HAiFLO_prop" "var_1_2_iEucS_prop" "var_1_3_iEucS_prop" -#> [28] "var_1_10_iEucS_prop" "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" -#> [31] "var_2_29_iEucS_prop" "var_1_2_iFLS_prop" "var_1_3_iFLS_prop" -#> [34] "var_1_10_iFLS_prop" "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" -#> [37] "var_2_29_iFLS_prop" "var_1_2_HAiFLS_prop" "var_1_3_HAiFLS_prop" -#> [40] "var_1_10_HAiFLS_prop" "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" -#> [43] "var_2_29_HAiFLS_prop" +#> [1] "Lake" "var_1_2_iEucO_prop" "var_1_3_iEucO_prop" +#> [4] "var_1_10_iEucO_prop" "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" +#> [7] "var_2_29_iEucO_prop" "var_1_2_iFLO_prop" "var_1_3_iFLO_prop" +#> [10] "var_1_10_iFLO_prop" "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" +#> [13] "var_2_29_iFLO_prop" "var_1_2_HAiFLO_prop" "var_1_3_HAiFLO_prop" +#> [16] "var_1_10_HAiFLO_prop" "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" +#> [19] "var_2_29_HAiFLO_prop" "var_1_2_iEucS_prop" "var_1_3_iEucS_prop" +#> [22] "var_1_10_iEucS_prop" "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" +#> [25] "var_2_29_iEucS_prop" "var_1_2_iFLS_prop" "var_1_3_iFLS_prop" +#> [28] "var_1_10_iFLS_prop" "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" +#> [31] "var_2_29_iFLS_prop" "var_1_2_HAiFLS_prop" "var_1_3_HAiFLS_prop" +#> [34] "var_1_10_HAiFLS_prop" "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" +#> [37] "var_2_29_HAiFLS_prop" ## Resultant structure ## length(hw_test_categorical_polygon) # Length 2; 1) attribute table, 2) processing components for 7 inputted distance-weighted rasters @@ -1086,7 +1073,8 @@ look pretty: cl <- parallel::makeCluster(3) doParallel::registerDoParallel(cl) -sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { #note other parallel backends work as well (i.e., future.apply) +sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { + #note other parallel backends work as well (i.e., future.apply) #when running in with foreach parallel, must specify libraries in function call require(sf) require(terra) @@ -1222,7 +1210,7 @@ library(future.apply) availableCores() #> system -#> 16 +#> 8 plan(list( #nested loop - note can be memory intensive tweak(multisession, workers = 3)), # split site processing across 3 cores @@ -1232,7 +1220,7 @@ plan(list( #nested loop - note can be memory intensive sites_attributes_products<-future_lapply(split(tg_O_multi_catchment,tg_O_multi_catchment$Site), function(xx){ write_sf(xx,file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp"))) - + ## Consistent arguments to hydroweight_attributes, not loi-specific. See ?hydroweight_attributes loi_consist <- list( roi = file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp")), @@ -1267,30 +1255,27 @@ names(sites_attributes_products[[1]][[1]]$attribute_table) ## Attribute table fo #> [7] "var_2_lumped_sd" "ndvi_lumped_min" #> [9] "var_1_lumped_min" "var_2_lumped_min" #> [11] "ndvi_lumped_max" "var_1_lumped_max" -#> [13] "var_2_lumped_max" "ndvi_lumped_distwtd_mean" -#> [15] "var_1_lumped_distwtd_mean" "var_2_lumped_distwtd_mean" -#> [17] "ndvi_lumped_distwtd_sd" "var_1_lumped_distwtd_sd" -#> [19] "var_2_lumped_distwtd_sd" "ndvi_iEucO_distwtd_mean" -#> [21] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" -#> [23] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" -#> [25] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" -#> [27] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" -#> [29] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" -#> [31] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" -#> [33] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" -#> [35] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" -#> [37] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" -#> [39] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" -#> [41] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" -#> [43] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" -#> [45] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" -#> [47] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" -#> [49] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" -#> [51] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" -#> [53] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" -#> [55] "var_2_HAiFLS_distwtd_sd" +#> [13] "var_2_lumped_max" "ndvi_iEucO_distwtd_mean" +#> [15] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" +#> [17] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" +#> [19] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" +#> [21] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" +#> [23] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" +#> [25] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" +#> [27] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" +#> [29] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" +#> [31] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" +#> [33] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" +#> [35] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" +#> [37] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" +#> [39] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" +#> [41] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" +#> [43] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" +#> [45] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" +#> [47] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" +#> [49] "var_2_HAiFLS_distwtd_sd" names(sites_attributes_products[[1]][[1]]$return_products) ## Return products for site 1 and loi 1 per distance-weighted raster -#> [1] "lumped" "iEucO" "iFLO" "HAiFLO" "iEucS" "iFLS" "HAiFLS" +#> [1] "iEucO" "iFLO" "HAiFLO" "iEucS" "iFLS" "HAiFLS" "lumped" ``` ### 5.4 Extract and adjust results data frames @@ -1304,13 +1289,6 @@ sites_attributes_df<-map_dfr(sites_attributes_products, #rbind sites reduce(left_join) # join numeric and categorical summaries ) -## If a raster category was missing in a site's catchment but was present in another site's, -## that record would be filled with NA according to left_join. Need to fix this. -## This is only true for columns containing "prop". - -sites_attributes_df <- sites_attributes_df %>% - mutate(across(ends_with("_prop"),~if_else(is.na(.),0,.))) - ## Final data frame colnames(sites_attributes_df) #> [1] "Site" "ndvi_lumped_mean" @@ -1319,63 +1297,55 @@ colnames(sites_attributes_df) #> [7] "var_2_lumped_sd" "ndvi_lumped_min" #> [9] "var_1_lumped_min" "var_2_lumped_min" #> [11] "ndvi_lumped_max" "var_1_lumped_max" -#> [13] "var_2_lumped_max" "ndvi_lumped_distwtd_mean" -#> [15] "var_1_lumped_distwtd_mean" "var_2_lumped_distwtd_mean" -#> [17] "ndvi_lumped_distwtd_sd" "var_1_lumped_distwtd_sd" -#> [19] "var_2_lumped_distwtd_sd" "ndvi_iEucO_distwtd_mean" -#> [21] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" -#> [23] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" -#> [25] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" -#> [27] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" -#> [29] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" -#> [31] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" -#> [33] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" -#> [35] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" -#> [37] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" -#> [39] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" -#> [41] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" -#> [43] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" -#> [45] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" -#> [47] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" -#> [49] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" -#> [51] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" -#> [53] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" -#> [55] "var_2_HAiFLS_distwtd_sd" "lulc_1_lumped_prop" -#> [57] "lulc_2_lumped_prop" "lulc_3_lumped_prop" -#> [59] "lulc_4_lumped_prop" "var_1_2_lumped_prop" -#> [61] "var_1_3_lumped_prop" "var_1_10_lumped_prop" -#> [63] "var_2_21_lumped_prop" "var_2_22_lumped_prop" -#> [65] "var_2_29_lumped_prop" "lulc_1_iEucO_prop" -#> [67] "lulc_2_iEucO_prop" "lulc_3_iEucO_prop" -#> [69] "lulc_4_iEucO_prop" "var_1_2_iEucO_prop" -#> [71] "var_1_3_iEucO_prop" "var_1_10_iEucO_prop" -#> [73] "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" -#> [75] "var_2_29_iEucO_prop" "lulc_1_iFLO_prop" -#> [77] "lulc_2_iFLO_prop" "lulc_3_iFLO_prop" -#> [79] "lulc_4_iFLO_prop" "var_1_2_iFLO_prop" -#> [81] "var_1_3_iFLO_prop" "var_1_10_iFLO_prop" -#> [83] "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" -#> [85] "var_2_29_iFLO_prop" "lulc_1_HAiFLO_prop" -#> [87] "lulc_2_HAiFLO_prop" "lulc_3_HAiFLO_prop" -#> [89] "lulc_4_HAiFLO_prop" "var_1_2_HAiFLO_prop" -#> [91] "var_1_3_HAiFLO_prop" "var_1_10_HAiFLO_prop" -#> [93] "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" -#> [95] "var_2_29_HAiFLO_prop" "lulc_1_iEucS_prop" -#> [97] "lulc_2_iEucS_prop" "lulc_3_iEucS_prop" -#> [99] "lulc_4_iEucS_prop" "var_1_2_iEucS_prop" -#> [101] "var_1_3_iEucS_prop" "var_1_10_iEucS_prop" -#> [103] "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" -#> [105] "var_2_29_iEucS_prop" "lulc_1_iFLS_prop" -#> [107] "lulc_2_iFLS_prop" "lulc_3_iFLS_prop" -#> [109] "lulc_4_iFLS_prop" "var_1_2_iFLS_prop" -#> [111] "var_1_3_iFLS_prop" "var_1_10_iFLS_prop" -#> [113] "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" -#> [115] "var_2_29_iFLS_prop" "lulc_1_HAiFLS_prop" -#> [117] "lulc_2_HAiFLS_prop" "lulc_3_HAiFLS_prop" -#> [119] "lulc_4_HAiFLS_prop" "var_1_2_HAiFLS_prop" -#> [121] "var_1_3_HAiFLS_prop" "var_1_10_HAiFLS_prop" -#> [123] "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" -#> [125] "var_2_29_HAiFLS_prop" +#> [13] "var_2_lumped_max" "ndvi_iEucO_distwtd_mean" +#> [15] "var_1_iEucO_distwtd_mean" "var_2_iEucO_distwtd_mean" +#> [17] "ndvi_iEucO_distwtd_sd" "var_1_iEucO_distwtd_sd" +#> [19] "var_2_iEucO_distwtd_sd" "ndvi_iFLO_distwtd_mean" +#> [21] "var_1_iFLO_distwtd_mean" "var_2_iFLO_distwtd_mean" +#> [23] "ndvi_iFLO_distwtd_sd" "var_1_iFLO_distwtd_sd" +#> [25] "var_2_iFLO_distwtd_sd" "ndvi_HAiFLO_distwtd_mean" +#> [27] "var_1_HAiFLO_distwtd_mean" "var_2_HAiFLO_distwtd_mean" +#> [29] "ndvi_HAiFLO_distwtd_sd" "var_1_HAiFLO_distwtd_sd" +#> [31] "var_2_HAiFLO_distwtd_sd" "ndvi_iEucS_distwtd_mean" +#> [33] "var_1_iEucS_distwtd_mean" "var_2_iEucS_distwtd_mean" +#> [35] "ndvi_iEucS_distwtd_sd" "var_1_iEucS_distwtd_sd" +#> [37] "var_2_iEucS_distwtd_sd" "ndvi_iFLS_distwtd_mean" +#> [39] "var_1_iFLS_distwtd_mean" "var_2_iFLS_distwtd_mean" +#> [41] "ndvi_iFLS_distwtd_sd" "var_1_iFLS_distwtd_sd" +#> [43] "var_2_iFLS_distwtd_sd" "ndvi_HAiFLS_distwtd_mean" +#> [45] "var_1_HAiFLS_distwtd_mean" "var_2_HAiFLS_distwtd_mean" +#> [47] "ndvi_HAiFLS_distwtd_sd" "var_1_HAiFLS_distwtd_sd" +#> [49] "var_2_HAiFLS_distwtd_sd" "lulc_1_iEucO_prop" +#> [51] "lulc_2_iEucO_prop" "lulc_3_iEucO_prop" +#> [53] "lulc_4_iEucO_prop" "var_1_2_iEucO_prop" +#> [55] "var_1_3_iEucO_prop" "var_1_10_iEucO_prop" +#> [57] "var_2_21_iEucO_prop" "var_2_22_iEucO_prop" +#> [59] "var_2_29_iEucO_prop" "lulc_1_iFLO_prop" +#> [61] "lulc_2_iFLO_prop" "lulc_3_iFLO_prop" +#> [63] "lulc_4_iFLO_prop" "var_1_2_iFLO_prop" +#> [65] "var_1_3_iFLO_prop" "var_1_10_iFLO_prop" +#> [67] "var_2_21_iFLO_prop" "var_2_22_iFLO_prop" +#> [69] "var_2_29_iFLO_prop" "lulc_1_HAiFLO_prop" +#> [71] "lulc_2_HAiFLO_prop" "lulc_3_HAiFLO_prop" +#> [73] "lulc_4_HAiFLO_prop" "var_1_2_HAiFLO_prop" +#> [75] "var_1_3_HAiFLO_prop" "var_1_10_HAiFLO_prop" +#> [77] "var_2_21_HAiFLO_prop" "var_2_22_HAiFLO_prop" +#> [79] "var_2_29_HAiFLO_prop" "lulc_1_iEucS_prop" +#> [81] "lulc_2_iEucS_prop" "lulc_3_iEucS_prop" +#> [83] "lulc_4_iEucS_prop" "var_1_2_iEucS_prop" +#> [85] "var_1_3_iEucS_prop" "var_1_10_iEucS_prop" +#> [87] "var_2_21_iEucS_prop" "var_2_22_iEucS_prop" +#> [89] "var_2_29_iEucS_prop" "lulc_1_iFLS_prop" +#> [91] "lulc_2_iFLS_prop" "lulc_3_iFLS_prop" +#> [93] "lulc_4_iFLS_prop" "var_1_2_iFLS_prop" +#> [95] "var_1_3_iFLS_prop" "var_1_10_iFLS_prop" +#> [97] "var_2_21_iFLS_prop" "var_2_22_iFLS_prop" +#> [99] "var_2_29_iFLS_prop" "lulc_1_HAiFLS_prop" +#> [101] "lulc_2_HAiFLS_prop" "lulc_3_HAiFLS_prop" +#> [103] "lulc_4_HAiFLS_prop" "var_1_2_HAiFLS_prop" +#> [105] "var_1_3_HAiFLS_prop" "var_1_10_HAiFLS_prop" +#> [107] "var_2_21_HAiFLS_prop" "var_2_22_HAiFLS_prop" +#> [109] "var_2_29_HAiFLS_prop" ``` Now - like any good environmental scientist - you have more variables diff --git a/man/figures/README-unnamed-chunk-10-1.png b/man/figures/README-unnamed-chunk-10-1.png index 17a2f10af71d41a182da80c4e22e138f46b224f8..f9d47067d50e0ca9c5259995f1de600713c07f73 100644 GIT binary patch literal 169484 zcmc$_Ra6{Z5H6Yo2*KT5f&_Ph28R$V1P>0u-C=+L!95V%B{;+2I=H(#gS!nf0}OKV z-*fJLzAxvThrN1rckNZXyX&i}UG;UOx~c*eIyw5QSFf;?6lK4@diCbhf8*VoSFc_j z->I7ZJD@o$>bbpoh28t#cs=M;YVqn7?JFf&sc+s{r|VvTKYQzvm+;{YWc(jXzdDc! zk=LTP8qb%H8R}OCs|;-&8WyI53b892h1Ff=(6)0}G}Q$YJLoK!EwZl>43w4Gle2@* z)+;AZS9>SB32O%v!%7kde#VQp9rPgGFSy83xcowBhzI0g+IPX5GKv9rJQc2d6GLte*Che4JIF5Or%1_Hy5qH2Bg$n8ocsDWjTeadnqNV5RPTdQ_Mua5m2+Q+_ya 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zW|g&1{Hi;5V!3K*KhK{D-YmdXKcRd_EcwKloA)A<-U@UgLYp$L&n7qEvsL@ZrYW9 z`p9>NT(zHDKCYJND)xCB@jYhA`b)l|`=8u5KFHl%QZ;9LW`x((dtVMT2(j`{(h_st zFP6W$NJM{$Bxp#0X?x=jK+bK^W-FDX=*`XcjXS@~9* zkKvQ{&U)iCH`S)U@}~X6iT@`v%u;qYoya(A@oHse6Zddn?DVYzreB#@S;+;KyR3{H qic3mU8lJs)1uU8_ULCv&|LDJe(jF Date: Thu, 25 Aug 2022 09:56:12 -0400 Subject: [PATCH 68/85] Added an earlier terra::project when target is raster, and input is a vector. --- R/process_input.R | 2 ++ 1 file changed, 2 insertions(+) diff --git a/R/process_input.R b/R/process_input.R index 389bb18..a0ffab5 100644 --- a/R/process_input.R +++ b/R/process_input.R @@ -101,6 +101,8 @@ process_input<-function(input=NULL, if (inherits(target,"SpatRaster")){ if (inherits(output,"SpatVector")) { + output<-terra::project(output,target) + if (resample_type=="near"){ # For categorical vector inputs output_split<-lapply(setNames(variable_names,variable_names), function(x) { out<-output %>% From d4e489c7ac325361284014682d9d06c9d83b6ad1 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 25 Aug 2022 12:51:05 -0400 Subject: [PATCH 69/85] changed .shp file reading in in process_input to sf from terra because terra misses crs sometimes --- R/process_input.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/process_input.R b/R/process_input.R index a0ffab5..1b8c192 100644 --- a/R/process_input.R +++ b/R/process_input.R @@ -51,7 +51,7 @@ process_input<-function(input=NULL, # Reconcile Types --------------------------------------------------------- if (inherits(input,"character")){ if (grepl("\\.shp$",input)) { - output<-terra::vect(input) + output<-terra::vect(sf::read_sf(input)) # terra seems to have trouble reading crs sometimes } else if (grepl("\\.tif$|\\.tiff",input)) { output<-terra::rast(input) } else { From 15c6d901b130918779121855409abd4cb56040ad Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Tue, 30 Aug 2022 14:33:24 -0400 Subject: [PATCH 70/85] Updated readme --- README.md | 8 ++++---- man/figures/README-unnamed-chunk-10-1.png | Bin 169227 -> 169844 bytes man/figures/README-unnamed-chunk-11-1.png | Bin 105760 -> 105401 bytes 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 01d4f28..b85c76d 100644 --- a/README.md +++ b/README.md @@ -523,9 +523,9 @@ hw_test_5 <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { return(hw_test_xx) } -#> Running hydroweight for site 1 at 2022-08-22 09:07:15 -#> Running hydroweight for site 2 at 2022-08-22 09:07:18 -#> Running hydroweight for site 3 at 2022-08-22 09:07:21 +#> Running hydroweight for site 1 at 2022-08-30 14:26:16 +#> Running hydroweight for site 2 at 2022-08-30 14:26:18 +#> Running hydroweight for site 3 at 2022-08-30 14:26:19 hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## Resultant structure: @@ -1222,7 +1222,7 @@ library(future.apply) availableCores() #> system -#> 8 +#> 16 plan(list( #nested loop - note can be memory intensive tweak(multisession, 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z-eJq=h3TXarkz3r4JVHKQ#YIvuP+>Js@HD5PM~wLGd(%cBsfWaIfRgemjeesWEN}J z4ASH?w`w5ON0T1VC-w<_xown}_?jWcxW6+VblI=xVX;k12P;+mH(xg^^nF+Dcw~Nz zvgGB7GxR64=v?BL*J|Kp7SRFg(?CAiC&b3~_tAsB|LMs}ky~O4>{eTEEjsuwD+`&C z)5F}PYVh^CsDtO9M*k6&piaiGdeQ;$+(Ta&>O%Synj!aVs}52vQ@V$2;0sY0z){sS zdmNCf7_s?eO*omsjqMaCWgIx>Kx*EVAEsn4lFavC$>Vrqcn1AWh7aLI*o>tEyHEdg zelUy-U#+DhJzA^6$=j@G$Da--_xGH%MLc)Fa-qZ7+;B@OjwZ}Uq$QPt=5+@Q|9CTn zGp;#EPo~5LfGW!(-EM*K+kO@)AcShR)#rCn-+8cf659gtKzBNyFnkxvMQM$ zxX=lw88uSl0vL89EJ7k&%R_^A@#r#yY|kCK&Nb?d0Rkyd-#*TI4S)>atP}lAJ7D4s z8Eo20gOnUq<=}(K5<6Aqym~=~fz}H^7rBtZ=B;>0$%P6*9os)8N_MLkkW$&-!sooY zL1V9fxj|Wmo{#P}FH$+;NY%Oa>GTF2-Whx-&f4z7kv2dex~|U9px&e=kNXpHGEGi diff --git a/man/hydroweight.Rd b/man/hydroweight.Rd index 4397380..f55c73b 100644 --- a/man/hydroweight.Rd +++ b/man/hydroweight.Rd @@ -21,21 +21,21 @@ hydroweight( ) } \arguments{ -\item{hydroweight_dir}{character. File path for read/write.} +\item{hydroweight_dir}{character. File path to write resulting .zip file.} -\item{target_O}{\code{sf}, \code{RasterLayer}, or character (with extension, e.g., "target.shp") of file found in \code{hydroweight_dir} of ESRI Shapefile type or GeoTiFF type only. Target for iEucO or iFLO.} +\item{target_O}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/sample_point.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Target for iEucO or iFLO.} -\item{target_S}{\code{sf}, \code{RasterLayer}, or character (with extension, e.g., "target.shp") of file found in \code{hydroweight_dir} of ESRI Shapefile type or GeoTiFF type only. Target for iEucS or iFLS.} +\item{target_S}{character (ffull file path with extension, e.g., "C:/Users/Administrator/Desktop/stream_lines.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Target for iEucS or iFLS.} \item{target_uid}{character. Unique identifier to precede exported list \code{*.rds} (i.e., "target_uid"_inv_distances.rds)} \item{OS_combine}{logical. Should target_O and target_S be merged as targets for iEucS, iFLS, and/or HAiFLS? Use \code{TRUE} or \code{FALSE}. This allows cells surrounding \code{target_O} to flow directly into \code{target_O} rather than be forced through \code{target_S}.} -\item{clip_region}{numeric, \code{sf}, \code{RasterLayer}, or character (with extension, e.g., "clip_region.shp") of file found in \code{hydroweight_dir} of ESRI Shapefile type or GeoTiFF type only. Region over which distances are calculated. If numeric, \code{sf::sf_buffer()} produces a default buffer of crs-specific numeric width around \code{target_O}, exports, then clips using \code{whitebox}; if \code{sf}, exports and clips using \code{whitebox}; and if character, loads the file, converts to \code{sf}, exports, and clips using \code{whitebox}.} +\item{clip_region}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of ESRI Shapefile type or GeoTiFF type only. Region over which distances are calculated. and if character, loads the file, converts to \code{sf}, exports, and clips using \code{whitebox}.} -\item{dem}{character (with extension, e.g., "dem.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Digital elevation model raster.} +\item{dem}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/dem.tif"), \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of GeoTiFF type. Digital elevation model raster.} -\item{flow_accum}{character (with extension, e.g., "flow_accum.tif") of file found in \code{hydroweight_dir} of GeoTiFF type. Flow accumulation raster (units: # of cells).} +\item{flow_accum}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/flow_accum.tif"), \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster} of GeoTiFF type. Flow accumulation raster (units: # of cells).} \item{weighting_scheme}{character. One or more weighting schemes: c("lumped", "iEucO", "iEucS", "iFLO", "iFLS", "HAiFLO", "HAiFLS")} @@ -44,7 +44,7 @@ hydroweight( \item{clean_tempfiles}{logical. Should temporary files be removed?} } \value{ -Named list of distance-weighted rasters and accompanying \code{*.rds} in \code{hydroweight_dir} +Named list of \code{PackedSpatRaster} distance-weighted rasters and accompanying \code{*.zip} in \code{hydroweight_dir} } \description{ \code{hydroweight::hydroweight()} generates distance-weighted rasters for targets @@ -62,7 +62,7 @@ cover weighted by flow distance to a point). See https://github.com/bkielstr/hyd \details{ Spatial layers should align (i.e., identical coordinate reference systems - CRS). Through processing, targets are converted to the resolution and CRS of the -digital elevation model/flow accumulation CRS. _TEMP-* files are generated in +digital elevation model/flow accumulation CRS. \emph{TEMP}* files are generated in \code{hydroweight_dir} depending on processing step and can be overwritten. For \code{weighting_scheme}: diff --git a/man/hydroweight_attributes.Rd b/man/hydroweight_attributes.Rd index be466d4..da8b091 100644 --- a/man/hydroweight_attributes.Rd +++ b/man/hydroweight_attributes.Rd @@ -8,18 +8,19 @@ hydroweight_attributes( loi, loi_attr_col = NULL, loi_columns = NULL, - loi_numeric = NULL, - loi_numeric_stats = NULL, + loi_numeric, + loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", + "max", "sum", "cell_count"), roi, roi_uid, - roi_uid_col, + roi_uid_col = "ID", distance_weights, remove_region = NULL, return_products = TRUE ) } \arguments{ -\item{loi}{character (with extension, e.g., "lu.shp"), \code{sf} or \code{RasterLayer}. Layer of interest (e.g., land use layer).} +\item{loi}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Layer of interest (e.g., land use layer).} \item{loi_attr_col}{character. A name that will precede the calculated attributes (e.g., loi_mean, loi_median etc.)} @@ -29,15 +30,15 @@ hydroweight_attributes( \item{loi_numeric_stats}{character. One or more of c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"). Those without distwtd_ are simple "lumped" statistics.} -\item{roi}{character (with extension, e.g., "roi.shp"), \code{sf} or \code{RasterLayer}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes.} +\item{roi}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/roi.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Region of interest (e.g., catchment boundary). Everything within this region will be used to calculate attributes.} \item{roi_uid}{character. Unique identifier value for the roi.} -\item{roi_uid_col}{character. Column name that will be assigned to the roi_uid.} +\item{roi_uid_col}{character. Column name that will be assigned to the roi_uid; Will be included in the attribute summary table.} -\item{distance_weights}{character (with extension, e.g., "idw.rds"), \code{list}. The distance-weighted rasters output from \code{hydroweight}.} +\item{distance_weights}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/idw.rds", or "idw.zip"), \code{list}. The distance-weighted rasters output from \code{hydroweight}.} -\item{remove_region}{\code{sf} or \code{RasterLayer}. Regions to remove when summarizing the attributes (e.g., remove lake from catchment)} +\item{remove_region}{character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/lu.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Regions to remove when summarizing the attributes (e.g., remove lake from catchment)} \item{return_products}{logical. If \code{TRUE}, a list containing attribute summary table, the \code{roi-} and \code{remove_region}-masked layer (i.e., all cells contributing to attribute calculation), and \code{distance_weights} raster. If \code{FALSE}, attribute summary table only.} } diff --git a/man/process_input.Rd b/man/process_input.Rd new file mode 100644 index 0000000..480affd --- /dev/null +++ b/man/process_input.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/hydroweight_uitility.R +\name{process_input} +\alias{process_input} +\title{Process Input GIS files into target format and clip} +\usage{ +process_input( + input = NULL, + input_name = NULL, + variable_names = NULL, + target = NULL, + clip_region = NULL, + resample_type = c("bilinear", "near"), + ... +) +} +\description{ +Process Input GIS files into target format and clip +} From 7c3fcbb1e5f6f03089edbc2c7faab5d00ad87100 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 21 Jul 2022 06:53:47 -0400 Subject: [PATCH 40/85] set crop override to T --- R/hydroweight_uitility.R | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 712c4fa..f01ea57 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -143,7 +143,8 @@ process_input<-function(input=NULL, output<-terra::crop( x=output, y=clip_region, - mask=T + mask=T, + overwrite=T ) } From 6e3fe46f59bb5becc3f55e0da9fbe5f0ff49783c Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Sun, 24 Jul 2022 22:23:47 -0400 Subject: [PATCH 41/85] Update hydroweight_uitility.R fixed variable name selection for spatVector --- R/hydroweight_uitility.R | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index f01ea57..9c748ca 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -39,10 +39,7 @@ process_input<-function(input=NULL, if (inherits(input,"sf")){ output<-terra::vect(input) } - if (inherits(input,"SpatRaster")){ - output<-input - } - if (inherits(input,"SpatVector")){ + if (inherits(input,c("SpatRaster","SpatVector"))){ output<-input } @@ -54,7 +51,7 @@ process_input<-function(input=NULL, if (any(!variable_names %in% names(output))) stop("some 'variable_names' not in input") if (length(variable_names)>0) { - if (inherits(output,"SpatVector")) output<-output[names(output) %in% variable_names] + if (inherits(output,"SpatVector")) output<-output[,variable_names] if (inherits(output,"SpatRaster")) output<-terra::subset(output,variable_names) } From b8c046772e4d8c48f7e67b296063ed441feca771 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 07:59:38 -0400 Subject: [PATCH 42/85] Fixed names when polygons convert to rasters --- R/hydroweight.R | 3 +-- R/hydroweight_uitility.R | 6 ++++++ 2 files changed, 7 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 48fe5ac..1a397f9 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -66,8 +66,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (!dir.exists(own_tempdir)) dir.create(own_tempdir) ## Set up raster temp file for out-of-memory raster files - terra::terraOptions(tempdir = file.path(tempdir(),basename(tempfile())), verbose=F) - #terra::rastTmpFile(prefix = paste0(target_uid,"_hydroweight_")) #PS: this isn't an option in terra + terra::terraOptions(tempdir = own_tempdir, verbose=F) ## Set whitebox verbose_mode to FALSE whitebox::wbt_options(verbose = FALSE) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 9c748ca..e5873ec 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -88,6 +88,12 @@ process_input<-function(input=NULL, ... ) }) + + output<-lapply(setNames(names(output),names(output)),function(x){ + out<-output[[x]] + names(out)<-x + return(out) + }) } if (resample_type=="bilinear"){ # For numeric vector inputs output <- lapply(variable_names, function(x) { From 972d0f55f7215f3cfe8cb2c7f019000b03cc9c23 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 08:59:47 -0400 Subject: [PATCH 43/85] Added an early extent crop to see if it speeds things up --- R/hydroweight_uitility.R | 24 ++++++++++++++++++++++-- README.Rmd | 21 +++++++++++++++++---- 2 files changed, 39 insertions(+), 6 deletions(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index e5873ec..4f257e1 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -55,6 +55,7 @@ process_input<-function(input=NULL, if (inherits(output,"SpatRaster")) output<-terra::subset(output,variable_names) } + if (!is.null(target)){ target<-process_input(input=target) @@ -62,6 +63,27 @@ process_input<-function(input=NULL, stop("'target' crs() is NULL or NA. Apply projection before continuing") } + # Process Clip Region ----------------------------------------------------- + if (!is.null(clip_region)){ + clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=crs(target))) + + if (inherits(output,"SpatVector")) { + output<-terra::crop( + x=output, + y=terra::ext(clip_region) + ) + } + + if (inherits(output,"SpatRaster")) { + output<-terra::crop( + x=output, + y=terra::ext(clip_region), + mask=F, + overwrite=T + ) + } + } + # If target is raster ----------------------------------------------------- if (inherits(target,"SpatRaster")){ if (inherits(output,"SpatVector")) { @@ -141,8 +163,6 @@ process_input<-function(input=NULL, } if (!is.null(clip_region) & !is.null(target)){ - clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=crs(target))) - output<-terra::crop( x=output, y=clip_region, diff --git a/README.Rmd b/README.Rmd index 40ad542..8dc5206 100644 --- a/README.Rmd +++ b/README.Rmd @@ -1160,7 +1160,20 @@ and/or metrics than sites. [Back to top](#contents) -## 6.0 Future plans + +## 6.0 Processing high volumes of data + +Processing large volumes of data (both in number of predictor variables and sites) can be challenging. The fastest method depends on the size of the region, the spatial resolution, and numbers of predictors and sites. + +```{r, warning = FALSE, error = FALSE, message = FALSE} + +# Comming soon + +``` + +[Back to top](#contents) + +## 7.0 Future plans This package was implemented to mostly serve our purposes and is functional enough. There is probably lots of room for improvement that @@ -1178,7 +1191,7 @@ functions based on feedback. [Back to top](#contents) -## 7.0 Acknowledgements +## 8.0 Acknowledgements Thank you to for early review/testing (alphabetical order): @@ -1191,7 +1204,7 @@ Engineering Research Council of Canada Strategic Partnership Grant [Back to top](#contents) -## 8.0 References +## 9.0 References Kielstra, B. W., Chau, J., & Richardson, J. S. (2019). Measuring function and structure of urban headwater streams with citizen @@ -1227,7 +1240,7 @@ Wu, Q. (2020). whitebox: 'WhiteboxTools' R Frontend. R package version [Back to top](#contents) -## 9.0 Copyright +## 10.0 Copyright Copyright (C) 2021 Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada From 15fc511e0d5b7a4d069f74a032bae6e9273634ae Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 12:12:42 -0400 Subject: [PATCH 44/85] Added save for intermediate SpatVector layers when resample_type=="near" --- R/hydroweight_uitility.R | 27 ++++++++++++++++++++------- README.Rmd | 2 +- 2 files changed, 21 insertions(+), 8 deletions(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 4f257e1..864a017 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -9,6 +9,10 @@ process_input<-function(input=NULL, clip_region=NULL, resample_type=c("bilinear","near"), ...){ + + tdir<-file.path(tempfile()) + if (!dir.exists(tdir)) dir.create(tdir) + require(terra) require(sf) @@ -90,11 +94,17 @@ process_input<-function(input=NULL, if (resample_type=="near"){ # For categorical vector inputs output_split<-lapply(setNames(variable_names,variable_names), function(x) { - output %>% + out<-output %>% st_as_sf() %>% select(any_of(x)) %>% split(.[[x]]) %>% - lapply(vect) + lapply(terra::vect) + + fl<-lapply(out,file.path(tdir,paste0(basename(tempfile()),".tif"))) + sv<-lapply(names(out),function(x) terra::writeVector(out[[x]],filename=fl[[x]],overwrite=T)) + + out<-lapply(fl,terra::rast) + return(out) }) output_split_nms<-sapply(names(output_split),function(x) paste0(x,"_",names(output_split[[x]]))) @@ -103,12 +113,15 @@ process_input<-function(input=NULL, names(output_split)<-output_split_nms output <- lapply(output_split, function(x) { - terra::rasterize(x=x, - y=target, - field = "", - overwrite=T, - ... + fl<-file.path(tdir,paste0(basename(tempfile()),".tif")) + out<-terra::rasterize(x=x, + y=target, + field = "", + overwrite=T, + ... ) + sv<-terra::writeRaster(out,filename=fl,overwrite=T) + return(terra::rast(fl)) }) output<-lapply(setNames(names(output),names(output)),function(x){ diff --git a/README.Rmd b/README.Rmd index 8dc5206..91073a6 100644 --- a/README.Rmd +++ b/README.Rmd @@ -1167,7 +1167,7 @@ Processing large volumes of data (both in number of predictor variables and site ```{r, warning = FALSE, error = FALSE, message = FALSE} -# Comming soon +# Coming soon ``` From e3827e04f2a057ce1135c82c9d9bbeedc0efe928 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 12:29:06 -0400 Subject: [PATCH 45/85] bug fix from previous commit --- R/hydroweight_uitility.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 864a017..44261cc 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -100,7 +100,7 @@ process_input<-function(input=NULL, split(.[[x]]) %>% lapply(terra::vect) - fl<-lapply(out,file.path(tdir,paste0(basename(tempfile()),".tif"))) + fl<-lapply(out, function(x) file.path(tdir,paste0(basename(tempfile()),".shp"))) sv<-lapply(names(out),function(x) terra::writeVector(out[[x]],filename=fl[[x]],overwrite=T)) out<-lapply(fl,terra::rast) From 8cf7f06bef77f62bed00a77df283a92523038350 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 12:30:59 -0400 Subject: [PATCH 46/85] minor fix --- R/hydroweight_uitility.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 44261cc..59719df 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -103,7 +103,7 @@ process_input<-function(input=NULL, fl<-lapply(out, function(x) file.path(tdir,paste0(basename(tempfile()),".shp"))) sv<-lapply(names(out),function(x) terra::writeVector(out[[x]],filename=fl[[x]],overwrite=T)) - out<-lapply(fl,terra::rast) + out<-lapply(fl,terra::vect) return(out) }) From 3fbb939c62cb6667c4730b872ecd907c3c31074f Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 12:52:08 -0400 Subject: [PATCH 47/85] Fix spatVect names --- R/hydroweight_uitility.R | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 59719df..8a79ba1 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -104,6 +104,12 @@ process_input<-function(input=NULL, sv<-lapply(names(out),function(x) terra::writeVector(out[[x]],filename=fl[[x]],overwrite=T)) out<-lapply(fl,terra::vect) + + out<-lapply(out,function(y) { + names(y)<-paste0(x,"_",unlist(y[[1]])) + return(y) + }) + return(out) }) From a455910887840a0ec38e84327783f3d5eb02be2d Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 13:24:01 -0400 Subject: [PATCH 48/85] added check to see if reprojection is needed --- R/hydroweight_uitility.R | 41 ++++++++++++++++++++++++++++++---------- 1 file changed, 31 insertions(+), 10 deletions(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 8a79ba1..41517a0 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -138,12 +138,15 @@ process_input<-function(input=NULL, } if (resample_type=="bilinear"){ # For numeric vector inputs output <- lapply(variable_names, function(x) { - terra::rasterize(x=output, - y=target, - field = x, - overwrite=T, - ... + fl<-file.path(tdir,paste0(basename(tempfile()),".tif")) + out<-terra::rasterize(x=output, + y=target, + field = x, + overwrite=T, + ... ) + sv<-terra::writeRaster(out,filename=fl,overwrite=T) + return(terra::rast(fl)) }) } @@ -161,14 +164,32 @@ process_input<-function(input=NULL, } if (inherits(output,"SpatRaster")) { - if (length(resample_type)>1) stop("'resample_type' must be one of: 'bilinear','near'") - output <- terra::project( + need_reproj<-terra::compareGeom( x = output, y = target, - method = resample_type, - overwrite = TRUE, - ... + lyrs=F, + crs=T, + ext=T, + rowcol=T, + res=T, + warncrs=F, + stopOnError=F, + messages=F ) + need_reproj<-!need_reproj # take inverse + + if (need_reproj) { + if (length(resample_type)>1) stop("'resample_type' must be one of: 'bilinear','near'") + + output <- terra::project( + x = output, + y = target, + method = resample_type, + overwrite = TRUE, + ... + ) + } + } if (inherits(output,"SpatVector")) { From 0c14fbef01937bf927ac4d4f482cda1c109d76cb Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Mon, 25 Jul 2022 14:35:54 -0400 Subject: [PATCH 49/85] Removed forcing raster stack when only single unique value --- R/hydroweight_uitility.R | 36 +++++++++++++++++++++++------------- 1 file changed, 23 insertions(+), 13 deletions(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 41517a0..e34c688 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -163,6 +163,8 @@ process_input<-function(input=NULL, } } + + # Reprojecting to mathc target -------------------------------------------- if (inherits(output,"SpatRaster")) { need_reproj<-terra::compareGeom( x = output, @@ -202,6 +204,8 @@ process_input<-function(input=NULL, } + # Clip and mask to clip_region -------------------------------------------- + if (!is.null(clip_region) & !is.null(target)){ output<-terra::crop( x=output, @@ -211,6 +215,8 @@ process_input<-function(input=NULL, ) } + + # Separate output raster into separate layers if multiple numerical values present ------ if (resample_type=="near") { if (terra::nlyr(output)>1) { brick_list<-terra::split(output,names(output)) @@ -225,19 +231,23 @@ process_input<-function(input=NULL, uv <- uv[!sapply(uv,is.na)] uv <- uv[!sapply(uv,is.infinite)] - out<-lapply(uv,function(x) { - repl<-terra::values(brick_list[[y]]) - repl[repl!=x]<-NA - repl[!is.na(repl)]<-1 - out<-terra::setValues(brick_list[[y]],repl) - if (length(uv)>1) names(out)<-paste0(y,"_",x) - if (length(uv)==1) names(out)<-y - return(out) - }) - - nms<-sapply(out,names) - out <- terra::rast(out) - names(out) <- nms + if (length(uv)>1) { + out<-lapply(uv,function(x) { + repl<-terra::values(brick_list[[y]]) + repl[repl!=x]<-NA + repl[!is.na(repl)]<-1 + out<-terra::setValues(brick_list[[y]],repl) + if (length(uv)>1) names(out)<-paste0(y,"_",x) + if (length(uv)==1) names(out)<-y + return(out) + }) + + nms<-sapply(out,names) + out <- terra::rast(out) + names(out) <- nms + } else { + out<-brick_list[[y]] + } return(out) }) From c1a7a2d711ac86532e894c646b4f6dd93d4bce4e Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Wed, 27 Jul 2022 08:48:35 -0400 Subject: [PATCH 50/85] Minor tweaks --- R/hydroweight.R | 36 +++++++++++---- R/hydroweight_attributes.R | 34 +++++++++----- R/hydroweight_uitility.R | 91 +++++++++++++++++++++----------------- README.Rmd | 70 +++++++++++------------------ 4 files changed, 127 insertions(+), 104 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 1a397f9..ddf76d0 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -78,6 +78,10 @@ hydroweight <- function(hydroweight_dir = NULL, dem<-process_input(input = dem,input_name="dem") dem_crs<-terra::crs(dem) + # dem_poly<-dem + # dem_poly[!is.na(dem_poly)]<-1 + # dem_poly<-terra::as.polygons(dem_poly) + # Process clip_region Input -------------------------------------------------- clip_region<-process_input(input = clip_region, target = dem, @@ -140,30 +144,42 @@ hydroweight <- function(hydroweight_dir = NULL, OS_combine_r ) - names(rast_list)<-c( + rast_list_nms<-c( paste0(target_uid,"_TEMP_dem_clip.tif"), paste0(target_uid,"_TEMP_flow_accum_clip.tif"), paste0(target_uid,"_TEMP_clip_region.tif"), paste0(target_uid,"_TEMP_target_O_clip.tif"), paste0(target_uid,"_TEMP_target_S_clip.tif"), paste0(target_uid,"_TEMP_OS_combine.tif") - ) + names(rast_list)<-rast_list_nms + + rast_list_nms<-lapply(rast_list_nms,function(x){ + if (inherits(rast_list[[x]],"SpatVector")) { + out<-gsub("\\.tif","\\.shp",x) + } else { + out<-x + } + return(out) + }) + names(rast_list)<-rast_list_nms # Write temporary rasters ------------------------------------------------- for (i in names(rast_list)){ if (!is.null(rast_list[[i]])){ - writeRaster(rast_list[[i]],file.path(own_tempdir,i),overwrite=T) + if (inherits(rast_list[[i]],"SpatVector")) { + writeVector(rast_list[[i]],file.path(own_tempdir,i),overwrite=T) + } else { + writeRaster(rast_list[[i]],file.path(own_tempdir,i),overwrite=T) + } } } - if ("lumped" %in% weighting_scheme) { - lumped_inv <- dem - lumped_inv[!is.na(lumped_inv)]<-1 - terra::writeRaster(lumped_inv,file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")),overwrite=T) - } + lumped_inv <- dem + lumped_inv[!is.na(lumped_inv)]<-1 + terra::writeRaster(lumped_inv,file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")),overwrite=T) ## iEucO, Euclidean distance to target_O ---- if ("iEucO" %in% weighting_scheme) { @@ -196,8 +212,8 @@ hydroweight <- function(hydroweight_dir = NULL, iEucO_inv <- terra::app(iEucO, fun = inv_function) } - terra::crs(iEucO_inv) <- dem_crs + iEucO_inv<-terra::mask(iEucO_inv,lumped_inv) terra::writeRaster(iEucO_inv, file.path(own_tempdir, paste0(target_uid,"_TEMP_iEucO.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), @@ -239,6 +255,7 @@ hydroweight <- function(hydroweight_dir = NULL, } terra::crs(iEucS_inv) <- dem_crs + iEucS_inv<-terra::mask(iEucS_inv,lumped_inv) terra::writeRaster(iEucS_inv, file.path(own_tempdir, paste0(target_uid,"_TEMP_iEucS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), @@ -278,6 +295,7 @@ hydroweight <- function(hydroweight_dir = NULL, } terra::crs(iEucS_inv) <- dem_crs + iEucS_inv<-terra::mask(iEucS_inv,lumped_inv) terra::writeRaster(iEucS_inv, file.path(own_tempdir, paste0(target_uid,"_TEMP_iEucS.tif")), overwrite = TRUE, gdal = c("COMPRESS=NONE"), diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 7eb2a51..aef8653 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -31,7 +31,7 @@ hydroweight_attributes <- function(loi, loi_columns = NULL, loi_numeric, loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "median", "min", "max", "sum", "cell_count"), - roi, + roi=NULL, roi_uid, roi_uid_col="ID", distance_weights, @@ -67,14 +67,20 @@ hydroweight_attributes <- function(loi, distance_weights<-lapply(distance_weights,function(x) if (inherits(x,"PackedSpatRaster")) terra::rast(x) else x) - # Prepare input data ------------------------------------------------------ - roi<-process_input(input = roi, - input_name="roi", - target = distance_weights[[1]], - clip_region=distance_weights[[1]], - resample_type="near") - roi<-roi[[1]] - names(roi)<-"roi" + # Prepare roi data ------------------------------------------------------ + if (is.null(roi)) { + roi<-distance_weights[[1]] + roi[!is.na(roi)]<-1 + names(roi)<-"roi" + } else { + roi<-process_input(input = roi, + input_name="roi", + target = distance_weights[[1]], + clip_region=distance_weights[[1]], + resample_type="near") + roi<-roi[[1]] + names(roi)<-"roi" + } remove_region<-process_input(input = remove_region, input_name="remove_region", @@ -89,14 +95,20 @@ hydroweight_attributes <- function(loi, roi <- terra::mask(x=roi, mask = remove_region, inverse = TRUE) } + # roi<-process_input(input = roi, # this converts ROI to polygon + # input_name="roi", + # target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs( distance_weights[[1]])), + # resample_type="near") + + # Prepare loi ------------------------------------------------------------- loi<-process_input(input = loi, input_name="loi", variable_names=loi_columns, - target = roi, + target = distance_weights[[1]], clip_region=roi, resample_type=loi_resample) - distance_weights<-lapply(distance_weights,process_input,target=roi,clip_region=roi,resample_type="bilinear") + distance_weights<-lapply(distance_weights,process_input,target=distance_weights[[1]],clip_region=roi,resample_type="bilinear") loi_stats <- list(setNames(roi_uid,roi_uid_col) %>% unlist()) names(loi_stats)<-roi_uid_col diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index e34c688..928a94f 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -69,7 +69,7 @@ process_input<-function(input=NULL, # Process Clip Region ----------------------------------------------------- if (!is.null(clip_region)){ - clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=crs(target))) + clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs(target))) if (inherits(output,"SpatVector")) { output<-terra::crop( @@ -106,7 +106,7 @@ process_input<-function(input=NULL, out<-lapply(fl,terra::vect) out<-lapply(out,function(y) { - names(y)<-paste0(x,"_",unlist(y[[1]])) + names(y)<-paste0(x,"_",unlist(y[[1]])[[1]]) return(y) }) @@ -188,6 +188,7 @@ process_input<-function(input=NULL, y = target, method = resample_type, overwrite = TRUE, + filename = paste0(tempfile(),".tif"), ... ) } @@ -207,51 +208,61 @@ process_input<-function(input=NULL, # Clip and mask to clip_region -------------------------------------------- if (!is.null(clip_region) & !is.null(target)){ - output<-terra::crop( - x=output, - y=clip_region, - mask=T, - overwrite=T - ) + if (inherits(output,"SpatVector")) { + output<-terra::crop( + x=output, + y=clip_region + ) + } + if (inherits(output,"SpatRaster")) { + output<-terra::crop( + x=output, + y=clip_region, + mask=T, + overwrite=T + ) + } } # Separate output raster into separate layers if multiple numerical values present ------ - if (resample_type=="near") { - if (terra::nlyr(output)>1) { - brick_list<-terra::split(output,names(output)) - names(brick_list)<-names(output) - } else { - brick_list<-output - } - - brick_list<-lapply(names(brick_list),function(y){ - uv <- unlist(terra::unique(brick_list[[y]])) - uv <- uv[!sapply(uv,is.nan)] - uv <- uv[!sapply(uv,is.na)] - uv <- uv[!sapply(uv,is.infinite)] - - if (length(uv)>1) { - out<-lapply(uv,function(x) { - repl<-terra::values(brick_list[[y]]) - repl[repl!=x]<-NA - repl[!is.na(repl)]<-1 - out<-terra::setValues(brick_list[[y]],repl) - if (length(uv)>1) names(out)<-paste0(y,"_",x) - if (length(uv)==1) names(out)<-y - return(out) - }) - - nms<-sapply(out,names) - out <- terra::rast(out) - names(out) <- nms + if (inherits(output,"SpatRaster")) { + if (resample_type=="near") { + if (terra::nlyr(output)>1) { + brick_list<-terra::split(output,names(output)) + names(brick_list)<-names(output) } else { - out<-brick_list[[y]] + brick_list<-output } - return(out) - }) - output <- terra::rast(brick_list) + brick_list<-lapply(names(brick_list),function(y){ + uv <- unlist(terra::unique(brick_list[[y]])) + uv <- uv[!sapply(uv,is.nan)] + uv <- uv[!sapply(uv,is.na)] + uv <- uv[!sapply(uv,is.infinite)] + + if (length(uv)>1) { + out<-lapply(uv,function(x) { + repl<-terra::values(brick_list[[y]]) + repl[repl!=x]<-NA + repl[!is.na(repl)]<-1 + out<-terra::setValues(brick_list[[y]],repl) + if (length(uv)>1) names(out)<-paste0(y,"_",x) + if (length(uv)==1) names(out)<-y + return(out) + }) + + nms<-sapply(out,names) + out <- terra::rast(out) + names(out) <- nms + } else { + out<-brick_list[[y]] + } + return(out) + }) + + output <- terra::rast(brick_list) + } } return(output) diff --git a/README.Rmd b/README.Rmd index 91073a6..5891dd7 100644 --- a/README.Rmd +++ b/README.Rmd @@ -24,45 +24,28 @@ knitr::opts_chunk$set( ## Contents - [1.0 Introduction](#10-introduction) -- [2.0 System setup and -installation](#20-system-setup-and-installation) -- [3.0 Inverse distance-weighted rasters using -`hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) -- [3.1 Generate toy terrain -dataset](#31-generate-toy-terrain-dataset) +- [2.0 System setup and installation](#20-system-setup-and-installation) +- [3.0 Inverse distance-weighted rasters using `hydroweight()`](#30-inverse-distance-weighted-rasters-using-hydroweight) +- [3.1 Generate toy terrain dataset](#31-generate-toy-terrain-dataset) - [3.2 Generate targets](#32-generate-targets) - [3.3 Run `hydroweight()`](#33-run-hydroweight) -- [3.4 Run `hydroweight()` across a set of -sites](#34-run-hydroweight-across-a-set-of-sites) -- [3.5 Using `iFLO` output as catchment boundaries for -`hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) -- [4.0 Inverse distance-weighted rasters using -`hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) -- [4.1 Using a numeric raster layer of -interest](#41-using-a-numeric-raster-layer-of-interest) -- [4.2 Using a categorical raster layer of -interest](#42-using-a-categorical-raster-layer-of-interest) -- [4.3 Using a polygon layer of interest with numeric data in the -column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) -- [4.4 Using a polygon layer of interest with categorical data in -the -column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) -- [5.0 Inverse distance-weighted rasters and attributes across -multiple layers and -sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) -- [5.1 Run hydroweight across -sites](#51-Run-hydroweight-across-sites) -- [5.2 Generate `loi` lists populated with -`hydroweight_attributes()` -parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) -- [5.3 Run `hydroweight_attributes()` across sites and -layers](#53-run-hydroweight_attributes-across-sites-and-layers) -- [5.4 Extract and adjust results data -frames](#54-extract-and-adjust-results-data-frames) -- [6.0 Future plans](#60-future-plans) -- [7.0 Acknowledgements](#70-acknowledgements) -- [8.0 References](#80-references) -- [9.0 Copyright](#90-copyright) +- [3.4 Run `hydroweight()` across a set of sites](#34-run-hydroweight-across-a-set-of-sites) +- [3.5 Using `iFLO` output as catchment boundaries for `hydroweight_attributes()`](#35-using-iFLO-output-as-catchment-boundaries-for-hydroweight_attributes) +- [4.0 Inverse distance-weighted rasters using `hydroweight_attributes()`](#40-inverse-distance-weighted-attributes-using-hydroweight_attributes) +- [4.1 Using a numeric raster layer of interest](#41-using-a-numeric-raster-layer-of-interest) +- [4.2 Using a categorical raster layer of interest](#42-using-a-categorical-raster-layer-of-interest) +- [4.3 Using a polygon layer of interest with numeric data in the column](#43-using-a-polygon-layer-of-interest-with-numeric-data-in-the-column) +- [4.4 Using a polygon layer of interest with categorical data in the column](#44-using-a-polygon-layer-of-interest-with-categorical-data-in-the-column) +- [5.0 Inverse distance-weighted rasters and attributes across multiple layers and sites](#50-inverse-distance-weighted-rasters-and-attributes-across-multiple-sites-and-layers) +- [5.1 Run hydroweight across sites](#51-Run-hydroweight-across-sites) +- [5.2 Generate `loi` lists populated with `hydroweight_attributes()` parameters](#52-generate-loi-lists-populated-with-hydroweight_attributes-parameters) +- [5.3 Run `hydroweight_attributes()` across sites and layers](#53-run-hydroweight_attributes-across-sites-and-layers) +- [5.4 Extract and adjust results data frames](#54-extract-and-adjust-results-data-frames) +- [6.0 Processing large amounts of data](#60-Processing-large-amounts-of-data) +- [7.0 Future plans](#70-future-plans) +- [8.0 Acknowledgements](#80-acknowledgements) +- [9.0 References](#90-references) +- [10.0 Copyright](#100-copyright) ## 1.0 Introduction @@ -265,8 +248,8 @@ the stream network (`tg_O_multi`) and their catchments tg_O <- toy_dem < 220 tg_O[tg_O != 1] <- NA writeRaster(tg_O, file.path(hydroweight_dir, "tg_O.tif"), overwrite = TRUE) -tg_O <- as.polygons(tg_O, dissolve = TRUE) -tg_O <- st_as_sf(tg_O) +tg_O <- terra::as.polygons(tg_O, dissolve = TRUE) +tg_O <- sf::st_as_sf(tg_O) ## Generate catchment for tg_O wbt_watershed( @@ -410,7 +393,7 @@ plot(hw_test_1[[1]], main = "Lumped", axes = F, legend = F, box = FALSE, col = v plot(hw_test_1[[2]], main = "iEucO", axes = F, legend = F, box = FALSE, col = viridis(101)) plot(hw_test_1[[3]], main = "iFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) plot(log(hw_test_1[[4]]), main = "HAiFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot.new() +#plot.new() plot(hw_test_1[[5]], main = "iEucS", axes = F, legend = F, box = FALSE, col = viridis(101)) plot(hw_test_1[[6]], main = "iFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) plot(log(hw_test_1[[7]]), main = "HAiFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) @@ -773,7 +756,6 @@ m <- c(0, 220, 1, 220, 300, 2, 300, 400, 3, 400, Inf, 4) rclmat <- matrix(m, ncol = 3, byrow = TRUE) lulc <- classify(lulc, rclmat) -# PICKUP FROM HERE ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc hwa_test_categorical <- hydroweight_attributes( loi = rast(list(setNames(lulc,"lulc1"),setNames(lulc,"lulc2"))), @@ -1161,13 +1143,13 @@ and/or metrics than sites. [Back to top](#contents) -## 6.0 Processing high volumes of data +## 6.0 Processing large amounts of data -Processing large volumes of data (both in number of predictor variables and sites) can be challenging. The fastest method depends on the size of the region, the spatial resolution, and numbers of predictors and sites. +Processing large amounts of data (both in number of predictor variables and sites) can be challenging. The fastest method depends on the size of the region, the spatial resolution, numbers of predictors and sites, and available memory. ```{r, warning = FALSE, error = FALSE, message = FALSE} -# Coming soon +# Coming soon!!! ``` From d45d82a540c1519657cd2d8cec508eacf1b09762 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 28 Jul 2022 17:05:45 -0400 Subject: [PATCH 51/85] Better cleaning of temporary files --- R/hydroweight.R | 30 ++++++++++++++++++++++-------- R/hydroweight_attributes.R | 21 ++++++++++++++++----- R/hydroweight_uitility.R | 38 +++++++++++++++++++++++++++++++++----- README.Rmd | 10 +++++----- 4 files changed, 76 insertions(+), 23 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index ddf76d0..78082f3 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -75,7 +75,7 @@ hydroweight <- function(hydroweight_dir = NULL, if (is.null(target_uid)) stop("target_uid must be specified") # Process DEM Input ---------------------------------------------------------- - dem<-process_input(input = dem,input_name="dem") + dem<-process_input(input = dem,input_name="dem",working_dir=own_tempdir) dem_crs<-terra::crs(dem) # dem_poly<-dem @@ -86,33 +86,38 @@ hydroweight <- function(hydroweight_dir = NULL, clip_region<-process_input(input = clip_region, target = dem, clip_region = dem, - input_name="clip_region") + input_name="clip_region", + working_dir=own_tempdir) dem<-process_input(input = dem, target = dem, clip_region=clip_region, resample_type="bilinear", - input_name="dem") + input_name="dem", + working_dir=own_tempdir) # Process flow_accum Input --------------------------------------------------- flow_accum<-process_input(input = flow_accum, target = dem, clip_region=clip_region, resample_type = "bilinear", - input_name="flow_accum") + input_name="flow_accum", + working_dir=own_tempdir) # Process target_O Input ----------------------------------------------------- target_O<-process_input(input = target_O, target = dem, clip_region=clip_region, - input_name="target_O") + input_name="target_O", + working_dir=own_tempdir) target_O<-target_O[[1]] # Process target_S Input ----------------------------------------------------- target_S<-process_input(input = target_S, target = dem, clip_region=clip_region, - input_name="target_S") + input_name="target_S", + working_dir=own_tempdir) target_S<-target_S[[1]] @@ -570,9 +575,18 @@ hydroweight <- function(hydroweight_dir = NULL, temp_rasters <- list.files(path = own_tempdir, pattern = paste0(target_uid,"_TEMP_"), full.names = TRUE) - file.remove(temp_rasters) + r1<-file.remove(temp_rasters) + + r2<-file.remove(unlist(dist_list_out)) + + list_obj<-ls() + list_obj<-list_obj[!list_obj %in% c("own_tempdir","dist_list")] + rm(list=list_obj) + + fls_to_remove<-unlink(own_tempdir,recursive=T,force =T) + + terra::tmpFiles(current = T,orphan=T,old=T,remove = T) - file.remove(unlist(dist_list_out)) } return(dist_list) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index aef8653..53b8df5 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -51,6 +51,7 @@ hydroweight_attributes <- function(loi, # Read in distance weights ------------------------------------------------ own_tempdir<-tempfile() if (!dir.exists(own_tempdir)) dir.create(own_tempdir) + terra::terraOptions(tempdir = own_tempdir, verbose=F) if (inherits(distance_weights,"character")){ if (grepl("\\.rds$",distance_weights)) { @@ -77,7 +78,8 @@ hydroweight_attributes <- function(loi, input_name="roi", target = distance_weights[[1]], clip_region=distance_weights[[1]], - resample_type="near") + resample_type="near", + working_dir=own_tempdir) roi<-roi[[1]] names(roi)<-"roi" } @@ -86,7 +88,8 @@ hydroweight_attributes <- function(loi, input_name="remove_region", target = distance_weights[[1]], clip_region=distance_weights[[1]], - resample_type="near") + resample_type="near", + working_dir=own_tempdir) if (!is.null(remove_region)) { remove_region<-remove_region[[1]] @@ -106,9 +109,10 @@ hydroweight_attributes <- function(loi, variable_names=loi_columns, target = distance_weights[[1]], clip_region=roi, - resample_type=loi_resample) + resample_type=loi_resample, + working_dir=own_tempdir) - distance_weights<-lapply(distance_weights,process_input,target=distance_weights[[1]],clip_region=roi,resample_type="bilinear") + distance_weights<-lapply(distance_weights,process_input,target=distance_weights[[1]],clip_region=roi,resample_type="bilinear",working_dir=own_tempdir) loi_stats <- list(setNames(roi_uid,roi_uid_col) %>% unlist()) names(loi_stats)<-roi_uid_col @@ -264,7 +268,14 @@ hydroweight_attributes <- function(loi, } - file.remove(list.files(tempdir(),pattern="_TEMP.tif")) + # Cleanup ----------------------------------------------------------------- + list_obj<-ls() + list_obj<-list_obj[!list_obj %in% c("own_tempdir","return_list")] + rm(list_obj) + + file.remove(list.files(own_tempdir,pattern="_TEMP.tif")) + fls_to_remove<-unlink(own_tempdir,recursive=T,force =T) + terra::tmpFiles(current = T,orphan=T,old=F,remove = T) return(return_list) } diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 928a94f..db0a79f 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -8,13 +8,19 @@ process_input<-function(input=NULL, target=NULL, clip_region=NULL, resample_type=c("bilinear","near"), + working_dir=NULL, ...){ + require(terra) + require(sf) - tdir<-file.path(tempfile()) + if (is.null(working_dir)) { + tdir<-file.path(tempfile()) + } else { + tdir<-file.path(working_dir,basename(tempfile())) + } if (!dir.exists(tdir)) dir.create(tdir) - require(terra) - require(sf) + terra::terraOptions(tempdir = tdir, verbose=F) if (is.null(input)) return(input) output<-NULL @@ -69,7 +75,8 @@ process_input<-function(input=NULL, # Process Clip Region ----------------------------------------------------- if (!is.null(clip_region)){ - clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs(target))) + #clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs(target))) clipping by polygon is slower than by raster + clip_region<-process_input(clip_region,target=target) if (inherits(output,"SpatVector")) { output<-terra::crop( @@ -188,7 +195,7 @@ process_input<-function(input=NULL, y = target, method = resample_type, overwrite = TRUE, - filename = paste0(tempfile(),".tif"), + #filename = file.path(tdir,paste0(basename(tempfile()),".tif")), ... ) } @@ -265,5 +272,26 @@ process_input<-function(input=NULL, } } + if (inherits(output,"SpatRaster")){ + final_temp<-paste0(tempfile(),".tif") + terra::writeRaster(output,final_temp,overwrite=T) + } + if (inherits(output,"SpatVector")){ + final_temp<-paste0(tempfile(),".shp") + terra::writeVector(output,final_temp,overwrite=T) + } + + # fls_to_remove<-list.files(tdir,recursive=T,full.names=T) + # fls_to_remove<-fls_to_remove[!grepl(gsub("\\.tif$|\\.shp$","",final_temp),fls_to_remove)] + + # list_obj<-ls() + # list_obj<-list_obj[!list_obj %in% c("tdir","output")] + # + # rm(list=list_obj) + # fls_to_remove<-unlink(tdir,recursive=T,force =T) + # fls_to_remove<-file.remove(fls_to_remove) + + # terra::tmpFiles(current = F,orphan=T,old=F,remove = T) + return(output) } diff --git a/README.Rmd b/README.Rmd index 5891dd7..28e68e3 100644 --- a/README.Rmd +++ b/README.Rmd @@ -133,10 +133,10 @@ installation. ## Follow instructions for whitebox installation accordingly ## devtools::install_github("giswqs/whiteboxR") # For development version ## whitebox is now available on CRAN -install.packages("whitebox") +#install.packages("whitebox") -library(whitebox) -install_whitebox() +#library(whitebox) +#install_whitebox() ## Possible warning message: ## ------------------------------------------------------------------------ ## Could not find WhiteboxTools! @@ -157,7 +157,7 @@ install_whitebox() ## Install current version of hydroweight -devtools::install_github("bkielstr/hydroweight@main") +#devtools::install_github("bkielstr/hydroweight@main") ``` [Back to top](#contents) @@ -356,7 +356,7 @@ hw_test_1 <- hydroweight( target_O = tg_O, target_S = tg_S, target_uid = "Lake", - clip_region = tg_O_multi_catchment[1,], + clip_region = tg_O_multi_catchment[1,1], OS_combine = TRUE, dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), From 8e25e55d4a4f646842716fb0c9eec889ec499e4e Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 28 Jul 2022 17:26:57 -0400 Subject: [PATCH 52/85] Changed clip_region back to polygon internally --- R/hydroweight.R | 4 ++-- R/hydroweight_uitility.R | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 78082f3..86e79c7 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -84,8 +84,8 @@ hydroweight <- function(hydroweight_dir = NULL, # Process clip_region Input -------------------------------------------------- clip_region<-process_input(input = clip_region, - target = dem, - clip_region = dem, + target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=dem_crs), + clip_region = terra::as.polygons(terra::ext(dem),crs=terra::crs(dem)), input_name="clip_region", working_dir=own_tempdir) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index db0a79f..2291693 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -75,8 +75,8 @@ process_input<-function(input=NULL, # Process Clip Region ----------------------------------------------------- if (!is.null(clip_region)){ - #clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs(target))) clipping by polygon is slower than by raster - clip_region<-process_input(clip_region,target=target) + clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs(target))) #clipping by polygon is slower than by raster + #clip_region<-process_input(clip_region,target=target) if (inherits(output,"SpatVector")) { output<-terra::crop( From 688cfcdf1ea1bfa3690228bb28cc33d796407a75 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 28 Jul 2022 17:29:33 -0400 Subject: [PATCH 53/85] minor tweak --- R/hydroweight.R | 2 +- README.Rmd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 86e79c7..0c500a3 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -85,7 +85,7 @@ hydroweight <- function(hydroweight_dir = NULL, # Process clip_region Input -------------------------------------------------- clip_region<-process_input(input = clip_region, target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=dem_crs), - clip_region = terra::as.polygons(terra::ext(dem),crs=terra::crs(dem)), + #clip_region = terra::as.polygons(terra::ext(dem),crs=terra::crs(dem)), input_name="clip_region", working_dir=own_tempdir) diff --git a/README.Rmd b/README.Rmd index 28e68e3..4d7a0e6 100644 --- a/README.Rmd +++ b/README.Rmd @@ -384,7 +384,7 @@ hw_test_1<-lapply(hw_test_1,rast) # hw_test_1[["iEucO"]] etc. ## Plot different weighting schemes; where purple --> yellow == low --> high weight -par(mfrow = c(2, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) +par(mfrow = c(2, 4), mar = c(0.1, 0.1, 0.1, 0.1), oma = c(0, 0, 0, 0)) layout(matrix(c( 1, 2, 3, 4, 1, 5, 6, 7 From 3247954ec72da6dab32b39e4c9826e0df5a316cc Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 28 Jul 2022 21:36:28 -0400 Subject: [PATCH 54/85] Edits to readme --- README.Rmd | 70 +++++++++++++++++++++++++-------------------------- settings.json | 6 +++++ 2 files changed, 41 insertions(+), 35 deletions(-) create mode 100644 settings.json diff --git a/README.Rmd b/README.Rmd index 4d7a0e6..0afd2a0 100644 --- a/README.Rmd +++ b/README.Rmd @@ -135,8 +135,8 @@ installation. ## whitebox is now available on CRAN #install.packages("whitebox") -#library(whitebox) -#install_whitebox() +library(whitebox) +install_whitebox() ## Possible warning message: ## ------------------------------------------------------------------------ ## Could not find WhiteboxTools! @@ -384,19 +384,19 @@ hw_test_1<-lapply(hw_test_1,rast) # hw_test_1[["iEucO"]] etc. ## Plot different weighting schemes; where purple --> yellow == low --> high weight -par(mfrow = c(2, 4), mar = c(0.1, 0.1, 0.1, 0.1), oma = c(0, 0, 0, 0)) +par(mfrow = c(2, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) layout(matrix(c( 1, 2, 3, 4, 1, 5, 6, 7 ), nrow = 2, byrow = TRUE)) -plot(hw_test_1[[1]], main = "Lumped", axes = F, legend = F, box = FALSE, col = viridis(101)[101]) -plot(hw_test_1[[2]], main = "iEucO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(hw_test_1[[3]], main = "iFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(log(hw_test_1[[4]]), main = "HAiFLO", axes = F, legend = F, box = FALSE, col = viridis(101)) +plot(hw_test_1[[1]], main = "Lumped", axes = F, legend = F, col = viridis(101)[101],mar=NA) +plot(hw_test_1[[2]], main = "iEucO", axes = F, legend = F, col = viridis(101),mar=NA) +plot(hw_test_1[[3]], main = "iFLO", axes = F, legend = F, col = viridis(101),mar=NA) +plot(log(hw_test_1[[4]]), main = "HAiFLO", axes = F, legend = F, col = viridis(101),mar=NA) #plot.new() -plot(hw_test_1[[5]], main = "iEucS", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(hw_test_1[[6]], main = "iFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) -plot(log(hw_test_1[[7]]), main = "HAiFLS", axes = F, legend = F, box = FALSE, col = viridis(101)) +plot(hw_test_1[[5]], main = "iEucS", axes = F, legend = F, col = viridis(101),mar=NA) +plot(hw_test_1[[6]], main = "iFLS", axes = F, legend = F, col = viridis(101),mar=NA) +plot(log(hw_test_1[[7]]), main = "HAiFLS", axes = F, legend = F, col = viridis(101),mar=NA) ``` Important things to note from this plot: @@ -473,8 +473,8 @@ hw_test_4<-lapply(hw_test_4,rast) ## Plot par(mfrow = c(1, 1), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -plot(hw_test_1[[1]], main = "iEucO - 8000 m clip", axes = FALSE, legend = FALSE, box = FALSE, col = viridis(101)) -plot(hw_test_4[[2]], add = TRUE, axes = FALSE, legend = FALSE, box = FALSE, col = viridis(101)) +plot(hw_test_1[[1]], main = "iEucO - 8000 m clip", axes = FALSE, legend = FALSE, col = viridis(101)) +plot(hw_test_4[[2]], add = TRUE, axes = FALSE, legend = FALSE, col = viridis(101)) ``` [Back to top](#contents) @@ -565,11 +565,11 @@ inv_distance_collect <- lapply(inv_distance_collect, function(x) { ## Plot sites, their catchments, and their respective distance-weighted iFLO rasters par(mfrow = c(1, 3), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 1 - iFLO") -plot(hw_test_5[[1]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[1]][[3]], axes = F, legend = F, col = viridis(101), add = T) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 2 - iFLO") -plot(hw_test_5[[2]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[2]][[3]], axes = F, legend = F, col = viridis(101), add = T) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 3 - iFLO") -plot(hw_test_5[[3]][[3]], axes = F, legend = F, box = FALSE, col = viridis(101), add = T) +plot(hw_test_5[[3]][[3]], axes = F, legend = F, col = viridis(101), add = T) ``` [Back to top](#contents) @@ -704,7 +704,7 @@ hwa_test_numeric$return_products<-lapply(hwa_test_numeric$return_products,functi ## Plot par(mfrow = c(1, 1)) -plot(ndvi, axes = F, legend = F, box = FALSE, col = viridis(101), main = "Toy NDVI") +plot(ndvi, axes = F, legend = F, col = viridis(101), main = "Toy NDVI") plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add = T) plot(st_geometry(tg_O), col = "red", add = T) plot(tg_S, col = "blue", add = T, legend = FALSE) @@ -720,21 +720,21 @@ par(mfrow = c(3, 2), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights") -plot(hw_test_1$lumped, axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE) +plot(hw_test_1$lumped, axes = F, legend = F, col = "yellow", add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$lumped$loi_dist_rast[[1]], axes = F, legend = F, col = viridis(101), add = TRUE) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights") -plot(hw_test_1$iEucO, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iEucO, axes = F, legend = F, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iEucO$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iEucO$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) ## iFLS plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights") -plot(hw_test_1$iFLS, axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hw_test_1$iFLS, axes = F, legend = F, col = viridis(101), add = TRUE) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - distance_weights * ndvi") -plot(hwa_test_numeric$return_products$iFLS$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE) +plot(hwa_test_numeric$return_products$iFLS$loi_dist_rast[[1]], main = "Lumped \n- loi * distance_weights", axes = F, legend = F, col = viridis(101), add = TRUE) ``` [Back to top](#contents) @@ -786,7 +786,7 @@ hwa_test_categorical$return_products<-lapply(hwa_test_categorical$return_product ## Plot par(mfrow = c(1, 1)) -plot(lulc, axes = F, legend = F, box = FALSE, col = viridis(4), main = "Toy LULC") +plot(lulc, axes = F, legend = F, col = viridis(4), main = "Toy LULC") plot(st_geometry(tg_O_catchment), col = adjustcolor("grey", alpha.f = 0.5), add = T) plot(tg_O, col = "red", add = T, legend = FALSE) plot(tg_S, col = "blue", add = T, legend = FALSE) @@ -803,55 +803,55 @@ par(mfrow = c(3, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0), cex = 0.75) ## Lumped plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped") plot(hw_test_1$lumped, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE + axes = F, legend = F, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 4)") plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_4, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 3)") plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_3, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "Lumped - loi * lulc (cat: 2)") plot(hwa_test_categorical$return_products$lumped$loi_dist_rast$lulc1_2, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) ## iEucO plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO") plot(hw_test_1$iEucO, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE + axes = F, legend = F, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 4)") plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_4, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 3)") plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_3, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iEucO - loi * lulc (cat: 2)") plot(hwa_test_categorical$return_products$iEucO$loi_dist_rast$lulc1_2, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) ## iFLS plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS") plot(hw_test_1$iFLS, - axes = F, legend = F, box = FALSE, col = "yellow", add = TRUE + axes = F, legend = F, col = "yellow", add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 4)") plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_4, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 3)") plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_3, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) plot(st_as_sfc(st_bbox(tg_O_catchment)), border = "white", main = "iFLS - loi * lulc (cat: 2)") plot(hwa_test_categorical$return_products$iFLS$loi_dist_rast$lulc1_2, - axes = F, legend = F, box = FALSE, col = viridis(101), add = TRUE + axes = F, legend = F, col = viridis(101), add = TRUE ) ``` diff --git a/settings.json b/settings.json new file mode 100644 index 0000000..0e8599c --- /dev/null +++ b/settings.json @@ -0,0 +1,6 @@ +{ + "verbose_mode": true, + "working_directory": "", + "compress_rasters": false, + "max_procs": -1 +} \ No newline at end of file From e0628522ad8c009c4f6021df42e67ba697a3cda1 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Fri, 29 Jul 2022 08:54:12 -0400 Subject: [PATCH 55/85] minor edits --- R/hydroweight.R | 16 ++++++-------- R/hydroweight_attributes.R | 2 +- R/hydroweight_uitility.R | 45 +++++++++++++------------------------- README.Rmd | 29 +++++++++++------------- 4 files changed, 36 insertions(+), 56 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 0c500a3..7153d86 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -47,13 +47,13 @@ #' @return Named list of \code{PackedSpatRaster} distance-weighted rasters and accompanying \code{*.zip} in \code{hydroweight_dir} #' @export #' -hydroweight <- function(hydroweight_dir = NULL, +hydroweight <- function(hydroweight_dir, target_O = NULL, target_S = NULL, target_uid = NULL, OS_combine = NULL, clip_region = NULL, - dem = NULL, + dem, flow_accum = NULL, weighting_scheme = NULL, inv_function = function(x) { @@ -62,7 +62,7 @@ hydroweight <- function(hydroweight_dir = NULL, clean_tempfiles=T) { require(terra) - own_tempdir<-tempfile() + own_tempdir<-gsub("file","",tempfile()) if (!dir.exists(own_tempdir)) dir.create(own_tempdir) ## Set up raster temp file for out-of-memory raster files @@ -78,13 +78,11 @@ hydroweight <- function(hydroweight_dir = NULL, dem<-process_input(input = dem,input_name="dem",working_dir=own_tempdir) dem_crs<-terra::crs(dem) - # dem_poly<-dem - # dem_poly[!is.na(dem_poly)]<-1 - # dem_poly<-terra::as.polygons(dem_poly) - # Process clip_region Input -------------------------------------------------- clip_region<-process_input(input = clip_region, - target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=dem_crs), + target=dem, + clip_region=dem, + #target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=dem_crs), #clip_region = terra::as.polygons(terra::ext(dem),crs=terra::crs(dem)), input_name="clip_region", working_dir=own_tempdir) @@ -126,7 +124,7 @@ hydroweight <- function(hydroweight_dir = NULL, OS_combine <- FALSE } - if (OS_combine == TRUE) { + if (OS_combine == TRUE & !is.null(target_O) & !is.null(target_S)) { (target_S_OS <- target_S) (target_O_OS <- target_O) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index 53b8df5..f5e082e 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -49,7 +49,7 @@ hydroweight_attributes <- function(loi, } # Read in distance weights ------------------------------------------------ - own_tempdir<-tempfile() + own_tempdir<-gsub("file","",tempfile()) if (!dir.exists(own_tempdir)) dir.create(own_tempdir) terra::terraOptions(tempdir = own_tempdir, verbose=F) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 2291693..68593ed 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -10,21 +10,21 @@ process_input<-function(input=NULL, resample_type=c("bilinear","near"), working_dir=NULL, ...){ + if (is.null(input)) return(input) + output<-NULL + require(terra) require(sf) if (is.null(working_dir)) { - tdir<-file.path(tempfile()) + tdir<-file.path(gsub("file","",tempfile())) } else { - tdir<-file.path(working_dir,basename(tempfile())) + tdir<-file.path(working_dir,basename(gsub("file","",tempfile()))) } if (!dir.exists(tdir)) dir.create(tdir) terra::terraOptions(tempdir = tdir, verbose=F) - if (is.null(input)) return(input) - output<-NULL - resample_type<-match.arg(resample_type) # Reconcile Types --------------------------------------------------------- @@ -67,34 +67,13 @@ process_input<-function(input=NULL, if (!is.null(target)){ - target<-process_input(input=target) + target<-process_input(input=target,working_dir=tdir) + clip_region<-process_input(clip_region,target=target,working_dir=tdir) if (is.na(terra::crs(target)) | is.null(terra::crs(target))) { stop("'target' crs() is NULL or NA. Apply projection before continuing") } - # Process Clip Region ----------------------------------------------------- - if (!is.null(clip_region)){ - clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs(target))) #clipping by polygon is slower than by raster - #clip_region<-process_input(clip_region,target=target) - - if (inherits(output,"SpatVector")) { - output<-terra::crop( - x=output, - y=terra::ext(clip_region) - ) - } - - if (inherits(output,"SpatRaster")) { - output<-terra::crop( - x=output, - y=terra::ext(clip_region), - mask=F, - overwrite=T - ) - } - } - # If target is raster ----------------------------------------------------- if (inherits(target,"SpatRaster")){ if (inherits(output,"SpatVector")) { @@ -228,6 +207,12 @@ process_input<-function(input=NULL, mask=T, overwrite=T ) + + output<-terra::mask( + x=output, + mask=clip_region, + overwrite=T + ) } } @@ -273,11 +258,11 @@ process_input<-function(input=NULL, } if (inherits(output,"SpatRaster")){ - final_temp<-paste0(tempfile(),".tif") + final_temp<-file.path(working_dir,paste0(basename(tempfile()),".tif")) terra::writeRaster(output,final_temp,overwrite=T) } if (inherits(output,"SpatVector")){ - final_temp<-paste0(tempfile(),".shp") + final_temp<-file.path(working_dir,paste0(basename(tempfile()),".shp")) terra::writeVector(output,final_temp,overwrite=T) } diff --git a/README.Rmd b/README.Rmd index 0afd2a0..4ddbdfb 100644 --- a/README.Rmd +++ b/README.Rmd @@ -384,19 +384,12 @@ hw_test_1<-lapply(hw_test_1,rast) # hw_test_1[["iEucO"]] etc. ## Plot different weighting schemes; where purple --> yellow == low --> high weight -par(mfrow = c(2, 4), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -layout(matrix(c( - 1, 2, 3, 4, - 1, 5, 6, 7 -), nrow = 2, byrow = TRUE)) -plot(hw_test_1[[1]], main = "Lumped", axes = F, legend = F, col = viridis(101)[101],mar=NA) -plot(hw_test_1[[2]], main = "iEucO", axes = F, legend = F, col = viridis(101),mar=NA) -plot(hw_test_1[[3]], main = "iFLO", axes = F, legend = F, col = viridis(101),mar=NA) -plot(log(hw_test_1[[4]]), main = "HAiFLO", axes = F, legend = F, col = viridis(101),mar=NA) -#plot.new() -plot(hw_test_1[[5]], main = "iEucS", axes = F, legend = F, col = viridis(101),mar=NA) -plot(hw_test_1[[6]], main = "iFLS", axes = F, legend = F, col = viridis(101),mar=NA) -plot(log(hw_test_1[[7]]), main = "HAiFLS", axes = F, legend = F, col = viridis(101),mar=NA) +hw_test_1$HAiFLO<-log(hw_test_1$HAiFLO) # These two weighting schemes can get vary high weights due to flow accumulation, +hw_test_1$HAiFLS<-log(hw_test_1$HAiFLS) # log transformation improves visualization + +plot(rast(c(hw_test_1[1:4],hw_test_1$lumped,hw_test_1[5:7])), + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) + ``` Important things to note from this plot: @@ -472,9 +465,12 @@ hw_test_4 <- hydroweight( hw_test_4<-lapply(hw_test_4,rast) ## Plot -par(mfrow = c(1, 1), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) -plot(hw_test_1[[1]], main = "iEucO - 8000 m clip", axes = FALSE, legend = FALSE, col = viridis(101)) -plot(hw_test_4[[2]], add = TRUE, axes = FALSE, legend = FALSE, col = viridis(101)) +hw_test_4$HAiFLO<-log(hw_test_4$HAiFLO) # These two weighting schemes can get vary high weights due to flow accumulation, +hw_test_4$HAiFLS<-log(hw_test_4$HAiFLS) # log transformation improves visualization + +plot(rast(c(hw_test_4[1:4],hw_test_4$lumped,hw_test_4[5:7])), + legend=F,axes=F,col=viridis(101),nc=4,mar=c(1,1,1,1),reset=T) + ``` [Back to top](#contents) @@ -563,6 +559,7 @@ inv_distance_collect <- lapply(inv_distance_collect, function(x) { ## hw_test_5[[3]][[7]] # site 3, HAiFLS ## Plot sites, their catchments, and their respective distance-weighted iFLO rasters + par(mfrow = c(1, 3), mar = c(1, 1, 1, 1), oma = c(0, 0, 0, 0)) plot(st_geometry(tg_O_multi_catchment), col = "grey", border = "white", main = "Site 1 - iFLO") plot(hw_test_5[[1]][[3]], axes = F, legend = F, col = viridis(101), add = T) From d8d1fcf7efb5b1bd1c1d9c9735eebbc37dbbc097 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 11 Aug 2022 11:59:08 -0400 Subject: [PATCH 56/85] minor tweaks to speed up functions --- R/hydroweight.R | 19 ++++++----- R/hydroweight_attributes.R | 10 +++--- R/hydroweight_uitility.R | 33 ++++++++++++++++--- README.Rmd | 67 ++++++++++++++++++++++++-------------- 4 files changed, 88 insertions(+), 41 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 7153d86..d49090f 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -76,16 +76,19 @@ hydroweight <- function(hydroweight_dir, # Process DEM Input ---------------------------------------------------------- dem<-process_input(input = dem,input_name="dem",working_dir=own_tempdir) + dem<-dem[[1]] + dem_crs<-terra::crs(dem) # Process clip_region Input -------------------------------------------------- clip_region<-process_input(input = clip_region, - target=dem, - clip_region=dem, - #target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=dem_crs), - #clip_region = terra::as.polygons(terra::ext(dem),crs=terra::crs(dem)), + #target=dem, + #clip_region=dem, + target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=dem_crs), + clip_region = terra::as.polygons(terra::ext(dem),crs=terra::crs(dem)), input_name="clip_region", working_dir=own_tempdir) + clip_region<-clip_region[,1] dem<-process_input(input = dem, target = dem, @@ -101,6 +104,7 @@ hydroweight <- function(hydroweight_dir, resample_type = "bilinear", input_name="flow_accum", working_dir=own_tempdir) + flow_accum<-flow_accum[[1]] # Process target_O Input ----------------------------------------------------- target_O<-process_input(input = target_O, @@ -118,7 +122,6 @@ hydroweight <- function(hydroweight_dir, working_dir=own_tempdir) target_S<-target_S[[1]] - # Setup OS combined ------------------------------------------------------- if (is.null(OS_combine)) { OS_combine <- FALSE @@ -174,7 +177,7 @@ hydroweight <- function(hydroweight_dir, if (inherits(rast_list[[i]],"SpatVector")) { writeVector(rast_list[[i]],file.path(own_tempdir,i),overwrite=T) } else { - writeRaster(rast_list[[i]],file.path(own_tempdir,i),overwrite=T) + writeRaster(rast_list[[i]],file.path(own_tempdir,i),overwrite=T,gdal="COMPRESS=NONE") } } } @@ -182,7 +185,7 @@ hydroweight <- function(hydroweight_dir, lumped_inv <- dem lumped_inv[!is.na(lumped_inv)]<-1 - terra::writeRaster(lumped_inv,file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")),overwrite=T) + terra::writeRaster(lumped_inv,file.path(own_tempdir, paste0(target_uid,"_TEMP_dem_clip_cost.tif")),overwrite=T,gdal="COMPRESS=NONE") ## iEucO, Euclidean distance to target_O ---- if ("iEucO" %in% weighting_scheme) { @@ -549,7 +552,7 @@ hydroweight <- function(hydroweight_dir, dist_list_out<-lapply(dist_list,function(x) { fl<-file.path(own_tempdir,paste0(paste0(names(x),".tif"))) - terra::writeRaster(x,fl,overwrite=T) + terra::writeRaster(x,fl,overwrite=T,gdal="COMPRESS=NONE") return(fl) }) diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index f5e082e..bc13782 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -84,7 +84,7 @@ hydroweight_attributes <- function(loi, names(roi)<-"roi" } - remove_region<-process_input(input = remove_region, + remove_region<-process_input(input = remove_region, #PS: I'm debating if this is necessary in this function, wouldn't the workflow make more sense to do this external to the function, and feed your desired region into hydroweight()? input_name="remove_region", target = distance_weights[[1]], clip_region=distance_weights[[1]], @@ -98,10 +98,10 @@ hydroweight_attributes <- function(loi, roi <- terra::mask(x=roi, mask = remove_region, inverse = TRUE) } - # roi<-process_input(input = roi, # this converts ROI to polygon - # input_name="roi", - # target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs( distance_weights[[1]])), - # resample_type="near") + roi<-process_input(input = roi, # this converts ROI to polygon + input_name="roi", + target = terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs( distance_weights[[1]])), + resample_type="near") # Prepare loi ------------------------------------------------------------- loi<-process_input(input = loi, diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 68593ed..f3bf74d 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -18,6 +18,7 @@ process_input<-function(input=NULL, if (is.null(working_dir)) { tdir<-file.path(gsub("file","",tempfile())) + working_dir<-tdir } else { tdir<-file.path(working_dir,basename(gsub("file","",tempfile()))) } @@ -57,6 +58,8 @@ process_input<-function(input=NULL, stop("'output' crs() is NULL or NA. Apply projection before continuing") } + orig_output<-output + if (is.null(variable_names)) variable_names<-names(output) if (any(!variable_names %in% names(output))) stop("some 'variable_names' not in input") @@ -112,7 +115,7 @@ process_input<-function(input=NULL, overwrite=T, ... ) - sv<-terra::writeRaster(out,filename=fl,overwrite=T) + sv<-terra::writeRaster(out,filename=fl,overwrite=T,gdal="COMPRESS=NONE") return(terra::rast(fl)) }) @@ -131,7 +134,7 @@ process_input<-function(input=NULL, overwrite=T, ... ) - sv<-terra::writeRaster(out,filename=fl,overwrite=T) + sv<-terra::writeRaster(out,filename=fl,overwrite=T,gdal="COMPRESS=NONE") return(terra::rast(fl)) }) } @@ -258,8 +261,30 @@ process_input<-function(input=NULL, } if (inherits(output,"SpatRaster")){ - final_temp<-file.path(working_dir,paste0(basename(tempfile()),".tif")) - terra::writeRaster(output,final_temp,overwrite=T) + + if (!inherits(orig_output,"SpatVector")){ + need_save<-terra::compareGeom( + x = output, + y = orig_output, + lyrs=T, + crs=T, + ext=T, + rowcol=T, + res=T, + warncrs=F, + stopOnError=F, + messages=F + ) + need_save<-!need_save # take inverse + } else { + need_save<-TRUE + } + + if (need_save) { + final_temp<-file.path(working_dir,paste0(basename(tempfile()),".tif")) + terra::writeRaster(output,final_temp,overwrite=T,gdal="COMPRESS=NONE") + } + } if (inherits(output,"SpatVector")){ final_temp<-file.path(working_dir,paste0(basename(tempfile()),".shp")) diff --git a/README.Rmd b/README.Rmd index 4ddbdfb..cd240fc 100644 --- a/README.Rmd +++ b/README.Rmd @@ -136,25 +136,27 @@ installation. #install.packages("whitebox") library(whitebox) -install_whitebox() -## Possible warning message: -## ------------------------------------------------------------------------ -## Could not find WhiteboxTools! -## ------------------------------------------------------------------------ -## -## Your next step is to download and install the WhiteboxTools binary: -## > whitebox::install_whitebox() -## -## If you have WhiteboxTools installed already run `wbt_init(exe_path=...)`': -## > wbt_init(exe_path='/home/user/path/to/whitebox_tools') -## -## For whitebox package documentation, ask for help: -## > ??whitebox -## -## For more information visit https://giswqs.github.io/whiteboxR/ -## -## ------------------------------------------------------------------------ +if (F){ + install_whitebox() + # Possible warning message: + # ------------------------------------------------------------------------ + # Could not find WhiteboxTools! + # ------------------------------------------------------------------------ + # + # Your next step is to download and install the WhiteboxTools binary: + # > whitebox::install_whitebox() + # + # If you have WhiteboxTools installed already run `wbt_init(exe_path=...)`': + # > wbt_init(exe_path='/home/user/path/to/whitebox_tools') + # + # For whitebox package documentation, ask for help: + # > ??whitebox + # + # For more information visit https://giswqs.github.io/whiteboxR/ + # + # ------------------------------------------------------------------------ +} ## Install current version of hydroweight #devtools::install_github("bkielstr/hydroweight@main") @@ -182,7 +184,7 @@ library(whitebox) ## Import toy_dem from whitebox package toy_file<-sample_dem_data() toy_file <- system.file("extdata", "DEM.tif", package = "whitebox") -toy_dem <- rast(x = toy_file) +toy_dem <- rast(raster::raster(x = toy_file)) # reading the file from terra directly sometimes crashes R for some reason crs(toy_dem) <- "epsg:3161" ## Generate hydroweight_dir as a temporary directory @@ -981,22 +983,32 @@ look pretty: # tg_O_multi ## sites # tg_O_multi_catchment ## catchments -sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { +cl <- parallel::makeCluster(3) +doParallel::registerDoParallel(cl) + +sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { + #when running in with foreach parallel, must specify libraries in function call + require(sf) + require(terra) + require(hydroweight) ## Distance-weighted raster component message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") ## Select individual sites and catchments sel <- tg_O_multi[xx, ] + write_sf(sel,file.path(hydroweight_dir,paste0("Site_",sel$Site,".shp"))) #parallel execution is best done with file paths rather than objects + sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) + write_sf(sel_roi,file.path(hydroweight_dir,paste0("ROI_",sel$Site,".shp"))) #parallel execution is best done with file paths rather than objects ## Run hydroweight site_weights <- hydroweight( hydroweight_dir = hydroweight_dir, - target_O = sel, ## Important to change - target_S = tg_S, + target_O = file.path(hydroweight_dir,paste0("Site_",sel$Site,".shp")), ## Important to change + target_S = file.path(hydroweight_dir, "toy_dem_streams.tif"), target_uid = sel$Site[xx], ## Important to change - clip_region = NULL, + clip_region =file.path(hydroweight_dir,paste0("ROI_",sel$Site,".shp")), OS_combine = TRUE, dem = file.path(hydroweight_dir,"toy_dem_breached.tif"), flow_accum = file.path(hydroweight_dir,"toy_dem_breached_accum.tif"), @@ -1007,6 +1019,9 @@ sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% inv_function = myinv ) } + +parallel::stopCluster(cl) + names(sites_weights) <- tg_O_multi$Site ## Resultant structure: @@ -1061,8 +1076,10 @@ loi_variable <- list(loi_ndvi, loi_lulc, loi_lulc_p_n, loi_lulc_p_c) ### 5.3 Run `hydroweight_attributes()` across sites and layers ```{r, warning = FALSE, error = FALSE, message = FALSE} + + sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { - + ## Distance-weighted raster component message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") @@ -1096,6 +1113,8 @@ sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = " return(sel_layers_hwa) } + + length(sites_attributes_products) ## List of results; one list per site length(sites_attributes_products[[1]]) ## List of results for site 1; one list of results per loi length(sites_attributes_products[[1]][[1]]) ## List of results for site 1 and loi 1 From 8ed3dc04b551dc9a37c8919612febd74baf8057b Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 11 Aug 2022 12:51:13 -0400 Subject: [PATCH 57/85] switched clip_region to interval vector --- R/hydroweight_uitility.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index f3bf74d..ba95da9 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -71,7 +71,7 @@ process_input<-function(input=NULL, if (!is.null(target)){ target<-process_input(input=target,working_dir=tdir) - clip_region<-process_input(clip_region,target=target,working_dir=tdir) + clip_region<-process_input(clip_region,target=terra::vect("POLYGON ((0 -5, 10 0, 10 -10, 0 -5))",crs=terra::crs(target)),working_dir=tdir) if (is.na(terra::crs(target)) | is.null(terra::crs(target))) { stop("'target' crs() is NULL or NA. Apply projection before continuing") From 2e351b8f4246879b2b3656d56a57a745908cbd93 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 11 Aug 2022 13:27:52 -0400 Subject: [PATCH 58/85] Minor tweaks to hide some warning messages --- R/hydroweight.R | 2 +- R/hydroweight_uitility.R | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index d49090f..808b872 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -586,7 +586,7 @@ hydroweight <- function(hydroweight_dir, fls_to_remove<-unlink(own_tempdir,recursive=T,force =T) - terra::tmpFiles(current = T,orphan=T,old=T,remove = T) + suppressWarnings(terra::tmpFiles(current = T,orphan=T,old=T,remove = T)) } diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index ba95da9..3583153 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -128,7 +128,7 @@ process_input<-function(input=NULL, if (resample_type=="bilinear"){ # For numeric vector inputs output <- lapply(variable_names, function(x) { fl<-file.path(tdir,paste0(basename(tempfile()),".tif")) - out<-terra::rasterize(x=output, + out<-terra::rasterize(x=output, #PS: Development version of terra gives a warning here, may cause problems in the future y=target, field = x, overwrite=T, From 3b47a17d67d22a3cb8c3ef4cf94d38e57230dd75 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Thu, 11 Aug 2022 19:10:35 -0400 Subject: [PATCH 59/85] fix issue with target_O and _S --- R/hydroweight.R | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/R/hydroweight.R b/R/hydroweight.R index 808b872..c52b807 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -113,6 +113,7 @@ hydroweight <- function(hydroweight_dir, input_name="target_O", working_dir=own_tempdir) target_O<-target_O[[1]] + target_O[!is.na(target_O)]<-1 # Process target_S Input ----------------------------------------------------- target_S<-process_input(input = target_S, @@ -121,7 +122,8 @@ hydroweight <- function(hydroweight_dir, input_name="target_S", working_dir=own_tempdir) target_S<-target_S[[1]] - + target_S[!is.na(target_S)]<-1 + # Setup OS combined ------------------------------------------------------- if (is.null(OS_combine)) { OS_combine <- FALSE From ed1a6c50505c641fd8863c91c797bb4a8c7f8af0 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Fri, 12 Aug 2022 11:28:25 -0400 Subject: [PATCH 60/85] Adjusted package dependencies. Modified readme. Minor safety tweaks in functions. --- DESCRIPTION | 8 +-- R/hydroweight.R | 4 +- R/hydroweight_attributes.R | 1 + R/hydroweight_uitility.R | 5 +- README.Rmd | 126 +++++++++++++++++++++++-------------- 5 files changed, 87 insertions(+), 57 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 1c2d8e8..b9f4082 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -42,17 +42,11 @@ Depends: Imports: devtools, dplyr, - doParallel, - fasterize, - foreach, - raster, - rgdal, - rgeos, sf, stringr, tidyr, + tidyselect, terra, - viridis, whitebox Suggests: knitr, diff --git a/R/hydroweight.R b/R/hydroweight.R index c52b807..8b0937a 100644 --- a/R/hydroweight.R +++ b/R/hydroweight.R @@ -123,7 +123,7 @@ hydroweight <- function(hydroweight_dir, working_dir=own_tempdir) target_S<-target_S[[1]] target_S[!is.na(target_S)]<-1 - + # Setup OS combined ------------------------------------------------------- if (is.null(OS_combine)) { OS_combine <- FALSE @@ -172,6 +172,8 @@ hydroweight <- function(hydroweight_dir, }) names(rast_list)<-rast_list_nms + rast_list<-rast_list[!sapply(rast_list,is.null)] + rast_list<-rast_list[sapply(rast_list,length)>0] # Write temporary rasters ------------------------------------------------- for (i in names(rast_list)){ diff --git a/R/hydroweight_attributes.R b/R/hydroweight_attributes.R index bc13782..1b95740 100644 --- a/R/hydroweight_attributes.R +++ b/R/hydroweight_attributes.R @@ -37,6 +37,7 @@ hydroweight_attributes <- function(loi, distance_weights, remove_region=NULL, return_products = TRUE) { + require(terra) loi_numeric_stats<-match.arg(loi_numeric_stats,several.ok = T) diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index 3583153..e2c1c7e 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -15,6 +15,7 @@ process_input<-function(input=NULL, require(terra) require(sf) + require(dplyr) if (is.null(working_dir)) { tdir<-file.path(gsub("file","",tempfile())) @@ -84,8 +85,8 @@ process_input<-function(input=NULL, if (resample_type=="near"){ # For categorical vector inputs output_split<-lapply(setNames(variable_names,variable_names), function(x) { out<-output %>% - st_as_sf() %>% - select(any_of(x)) %>% + sf::st_as_sf() %>% + dplyr::select(tidyselect::any_of(x)) %>% split(.[[x]]) %>% lapply(terra::vect) diff --git a/README.Rmd b/README.Rmd index cd240fc..a5fe701 100644 --- a/README.Rmd +++ b/README.Rmd @@ -175,6 +175,7 @@ generate terrain products. ## Load libraries library(dplyr) library(foreach) +library(future.apply) library(hydroweight) library(terra) library(sf) @@ -275,6 +276,7 @@ tg_O_multi <- st_as_sf(tg_O_multi) tg_O_multi <- tg_O_multi[st_coordinates(tg_O_multi)[, 1] < 675000, ] # selects single network tg_O_multi <- tg_O_multi[c(10, 50, 100), ] tg_O_multi$Site <- c(1, 2, 3) +tg_O_multi<-tg_O_multi[,-c(1)] tg_O_multi_catchment <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { @@ -535,7 +537,7 @@ hw_test_5<-lapply(hw_test_5,function(x) lapply(x,rast)) ## ... ## hw_test_5[[3]][[7]] # site 3, HAiFLS -## Loading up data as if it were not originally assigned to object hw_test_5 +## Loading up data from .zip file inv_distance_collect <- file.path(hydroweight_dir, paste0(tg_O_multi$Site, "_inv_distances.zip")) inv_distance_collect <- lapply(inv_distance_collect, function(x) { fls<-unzip(x,list=T) @@ -754,6 +756,7 @@ lulc <- toy_dem m <- c(0, 220, 1, 220, 300, 2, 300, 400, 3, 400, Inf, 4) rclmat <- matrix(m, ncol = 3, byrow = TRUE) lulc <- classify(lulc, rclmat) +names(lulc)<-"lulc" ## For each distance weight from hydroweight_test above, calculate the landscape statistics for lulc hwa_test_categorical <- hydroweight_attributes( @@ -986,7 +989,7 @@ look pretty: cl <- parallel::makeCluster(3) doParallel::registerDoParallel(cl) -sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { +sites_weights <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %dopar% { #note other parallel backends work as well (i.e., future.apply) #when running in with foreach parallel, must specify libraries in function call require(sf) require(terra) @@ -1071,53 +1074,91 @@ loi_lulc_p_c <- list( ## These are combined into a list of lists loi_variable <- list(loi_ndvi, loi_lulc, loi_lulc_p_n, loi_lulc_p_c) + + +# To save processing time, convert all inputs into rasters matching DEM +## Numeric Rasters +numeric_rasts<-loi_variable[sapply(loi_variable,function(x) x$loi_numeric)] +numeric_rasts<-lapply(numeric_rasts,function(x) + process_input(input=x$loi, + target=file.path(hydroweight_dir,"toy_dem_breached.tif"), + variable_names=x$loi_columns, + resample_type="bilinear")) +numeric_rasts<-rast(numeric_rasts) +writeRaster(numeric_rasts,file.path(hydroweight_dir,"numeric_rasters.tif"),overwrite=T) + +## Categorical Rasters +cat_rasts<-loi_variable[sapply(loi_variable,function(x) !x$loi_numeric)] +cat_rasts<-lapply(cat_rasts,function(x) + process_input(input=x$loi, + target=file.path(hydroweight_dir,"toy_dem_breached.tif"), + variable_names=x$loi_columns, + resample_type="near")) +cat_rasts<-rast(cat_rasts) +writeRaster(cat_rasts,file.path(hydroweight_dir,"cat_rasters.tif"),overwrite=T) + +# Combine into final loi variables +## loi is specified as a file path to allow parallel processing +## to pass loi as an in memory raster for parallel processing, use terra::wrap() (note this can be inefficient for large raster) +## if not using parallel processing, loi can be given as an in memory raster object (terra or raster) +loi_variable_final<-list( + numeric=list( + loi = file.path(hydroweight_dir,"numeric_rasters.tif"), + loi_attr_col = names(numeric_rasts), + loi_numeric = TRUE, + loi_numeric_stats = c("distwtd_mean", "distwtd_sd", "mean", "sd", "min", "max") + ), + categorical=list( + loi = file.path(hydroweight_dir,"cat_rasters.tif"), + loi_attr_col = names(cat_rasts), + loi_numeric = FALSE + ) +) ``` ### 5.3 Run `hydroweight_attributes()` across sites and layers +For efficiency, combine all numerical layers and all categorical layers together + ```{r, warning = FALSE, error = FALSE, message = FALSE} +library(future.apply) -sites_attributes_products <- foreach(xx = 1:nrow(tg_O_multi), .errorhandling = "pass") %do% { +availableCores() - ## Distance-weighted raster component - message("\n******Running hydroweight() on Site ", xx, " of ", nrow(tg_O_multi), " ", Sys.time(), "******") - - ## Select individual sites, catchments, and weights - sel <- tg_O_multi[xx, ] - sel_roi <- subset(tg_O_multi_catchment, Site == sel$Site) - sel_weights <- sites_weights[[sel$Site]] +plan(list( #nested loop - note can be memory intensive + tweak(multisession, workers = 3)), # split site processing across 3 cores + tweak(multisession, workers = 2) # split loi processing across 2 cores +) + +sites_attributes_products<-future_lapply(split(tg_O_multi_catchment,tg_O_multi_catchment$Site), function(xx){ + write_sf(xx,file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp"))) + ## Consistent arguments to hydroweight_attributes, not loi-specific. See ?hydroweight_attributes loi_consist <- list( - roi = sel_roi, - distance_weights = sel_weights, + roi = file.path(hydroweight_dir,paste0("Site_",xx$Site,".shp")), + distance_weights = file.path(hydroweight_dir,paste0(xx$Site,"_inv_distances.zip")), remove_region = NULL, - return_products = TRUE, - roi_uid = sel$Site, + return_products = TRUE, #set this to FALSE to decrease memory and space requirement + roi_uid = xx$Site, roi_uid_col = "Site" ) - ## For each loi, - sel_layers_hwa <- foreach(yy = 1:length(loi_variable), .errorhandling = "pass") %do% { - + future_lapply(loi_variable_final, function(yy) { ## Combine loi_variable[[y]] with loi_consist - loi_combined <- c(loi_variable[[yy]], loi_consist) + loi_combined <- c(yy, loi_consist) ## Run hydroweight_attributes using arguments in loi_combined - loi_output <- do.call(hydroweight_attributes, loi_combined) - - return(loi_output) - } + do.call(hydroweight_attributes, loi_combined) + }) - return(sel_layers_hwa) -} - +}) -length(sites_attributes_products) ## List of results; one list per site -length(sites_attributes_products[[1]]) ## List of results for site 1; one list of results per loi -length(sites_attributes_products[[1]][[1]]) ## List of results for site 1 and loi 1 +names(sites_attributes_products) ## List of results; one list per site +names(sites_attributes_products[[1]]) ## List of results for site 1; one list of results per loi +names(sites_attributes_products[[1]][[1]]) ## List of results for site 1 and loi 1 names(sites_attributes_products[[1]][[1]]$attribute_table) ## Attribute table for site 1 and loi 1 names(sites_attributes_products[[1]][[1]]$return_products) ## Return products for site 1 and loi 1 per distance-weighted raster ``` @@ -1125,29 +1166,20 @@ names(sites_attributes_products[[1]][[1]]$return_products) ## Return products fo ### 5.4 Extract and adjust results data frames ```{r, warning = FALSE, error = FALSE, message = FALSE} -sites_attributes_list <- foreach(xx = 1:length(sites_attributes_products), .errorhandling = "pass") %do% { - - ## Selects an individual site - sel_site <- sites_attributes_products[[xx]] - - ## Selects distance-weighted raster results set - site_stats <- foreach(yy = 1:length(sel_site), .errorhandling = "pass") %do% { - sel_site[[yy]]$attribute_table - } - - ## Merges the distance-weighted raster-specific datasets - site_stats <- Reduce(merge, site_stats) - - return(site_stats) -} -## Bind rows -sites_attributes_df <- bind_rows(sites_attributes_list) +require(tidyverse) + +sites_attributes_df<-map_dfr(sites_attributes_products, #rbind sites + ~map(.,~as_tibble(.$attribute_table)) %>% + reduce(left_join) # join numeric and categorical summaries +) ## If a raster category was missing in a site's catchment but was present in another site's, -## that record would be filled with NA according to bind_rows. Need to fix this. +## that record would be filled with NA according to left_join Need to fix this. ## This is only true for columns containing "prop". -sites_attributes_df[, grep("prop", colnames(sites_attributes_df))][is.na(sites_attributes_df[, grep("prop", colnames(sites_attributes_df))])] <- 0 + +sites_attributes_df <- sites_attributes_df %>% + mutate(across(ends_with("_prop"),~if_else(is.na(.),0,.))) ## Final data frame colnames(sites_attributes_df) From f56cb9769094f17fe394d148b99d11b0b7c3e400 Mon Sep 17 00:00:00 2001 From: p-schaefer Date: Fri, 12 Aug 2022 12:51:09 -0400 Subject: [PATCH 61/85] updated some function help files --- DESCRIPTION | 2 +- R/hydroweight_uitility.R | 21 +++++++++++++++- README.Rmd | 2 +- man/figures/README-unnamed-chunk-6-1.png | Bin 11648 -> 41634 bytes man/figures/README-unnamed-chunk-6-2.png | Bin 5366 -> 0 bytes man/hydroweight.Rd | 4 +-- man/hydroweight_attributes.Rd | 4 +-- man/process_input.Rd | 30 ++++++++++++++++++++++- 8 files changed, 55 insertions(+), 8 deletions(-) delete mode 100644 man/figures/README-unnamed-chunk-6-2.png diff --git a/DESCRIPTION b/DESCRIPTION index b9f4082..031a3d2 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -36,7 +36,7 @@ License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) -RoxygenNote: 7.2.0 +RoxygenNote: 7.2.1 Depends: R (>= 4.0) Imports: diff --git a/R/hydroweight_uitility.R b/R/hydroweight_uitility.R index e2c1c7e..c61d1ca 100644 --- a/R/hydroweight_uitility.R +++ b/R/hydroweight_uitility.R @@ -1,7 +1,26 @@ #' Process Input GIS files into target format and clip #' -#' @export +#' \code{hydroweight::process_input()} processes any input GIS data files into type \code{SpatVector} or \code{SpatRaster} depending on `target`. +#' +#' `input` data is coerced to type \code{SpatVector} or \code{SpatRaster} depending on class of `target`. +#' If `resample_type` == \code{bilinear}, and `target` is of class \code{SpatRaster}, `input` is +#' coerced to class \code{SpatRaster}, reasterizing and/or reprojecting as necessary. If `resample_type` == \code{near}, +#' `target` is of class \code{SpatRaster}, and `input` is of class \code{SpatRaster}, unique values of `input` are coerced +#' into separate layers of a \code{SpatRaster}, with 1 indicating the value is present; if input` is of class \code{SpatVector}, +#' unique values of `variable_names` are each coerced into separate layers in a \code{SpatRaster}, with 1 indicating the value is present. +#' #' +#' @param input character. (full file path with extension, e.g., "C:/Users/Administrator/Desktop/input.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Input GIS data. +#' @param input_name \code{NULL} or character. A name that is used only in error or warning messages. +#' @param variable_names \code{NULL} or character. The names if input that should be included in the coerced output. If \code{NULL} all variables in `input` are used. +#' @param target \code{NULL} or character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/target.tif"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Target for intput to be coerced into. If \code{NULL} all variables in `input` are returned as \code{SpatVector} or \code{SpatRaster}. +#' @param clip_region \code{NULL} or character (full file path with extension, e.g., "C:/Users/Administrator/Desktop/clip_region.shp"), \code{sf}, \code{SpatVector}, \code{PackedSpatVector}, \code{RasterLayer}, \code{SpatRaster}, or \code{PackedSpatRaster}. Input with be clipped and masked to this region. Internally converted to \code{SpatVector}. If \code{NULL}, full extent of `input` is returned. +#' @param resample_type character. If \code{bilinear} (default), the `variable_names` being coerced are numeric, if \code{'near'}, the `variable_names` being coerced are categorical, for the purposes of resampling/projecting if `target` is \code{SpatRaster}. +#' @param working_dir \code{NULL} or character. Folder path for temporary file storage. If \code{NULL}, assigned internally. +#' @param ... other variables passed to various \code{terra} functions. +#' @return an object of class \code{SpatVector} or \code{SpatRaster} depending on `target` +#' @export + process_input<-function(input=NULL, input_name=NULL, variable_names=NULL, diff --git a/README.Rmd b/README.Rmd index a5fe701..f548a73 100644 --- a/README.Rmd +++ b/README.Rmd @@ -1175,7 +1175,7 @@ sites_attributes_df<-map_dfr(sites_attributes_products, #rbind sites ) ## If a raster category was missing in a site's catchment but was present in another site's, -## that record would be filled with NA according to left_join Need to fix this. +## that record would be filled with NA according to left_join. 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