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fresh look at #46 with ideas on how to efficiently encode input
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| library(aqp) | ||
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| # for later: simulate realistic soil morphology | ||
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| p <- matrix( | ||
| c(0), | ||
| nrow = 30, | ||
| ncol = 10 | ||
| ) | ||
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| for(i in 1:nrow(p)) { | ||
| # adjust probabilities with each iteration | ||
| p[i, ] <- sample(hz.levels, size = 10, replace = TRUE, prob = c(1, 1, 0.5, 0.25, 0.3, 0.1, 0.1)) | ||
| } | ||
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| ## ideas on how to encode source data: | ||
| # * 1-letter codes representing sampling area (dz x dz) | ||
| # * horizon designations, would need to borrow from quickSPC() parser | ||
| # * | ||
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| s <- list( | ||
| 'p1' = c( | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'BBBBBAAA', | ||
| 'BBBBBBAA', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'CCCBBBBB', | ||
| 'CCCCBBBB', | ||
| 'CCCCCBBB', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'RRRCCRRR', | ||
| 'RRRRCRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRZ', | ||
| 'ZZZZZZZZ' | ||
| ), | ||
| 'p2' = c( | ||
| 'AAAAAAAA', | ||
| 'AXXAAAAA', | ||
| 'XXXAAAAA', | ||
| 'AAAAAAAA', | ||
| 'BBBBBAAA', | ||
| 'BBAABBAA', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBBABBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'CCCBBBBB', | ||
| 'CCCCBBBB', | ||
| 'CCCCCBBB', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'RRCCCRRR', | ||
| 'CCCCCRRR', | ||
| 'CCCRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR' | ||
| ), | ||
| 'p3' = c( | ||
| 'OOOOOOOO', | ||
| 'OOOOOOOO', | ||
| 'OOOOOOOO', | ||
| 'OOOOAAAA', | ||
| 'AAOAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'BBBABAAA', | ||
| 'BBAABBAA', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBBABBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'CCCBBBBB', | ||
| 'CCCCBBBB', | ||
| 'CCCCCBBB', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR' | ||
| ), | ||
| 'p4' = c( | ||
| 'OOOOOOOO', | ||
| 'OOOOAAAA', | ||
| 'AAOAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'BBBABAAA', | ||
| 'BBAABBAA', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBBABBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'BBBBBBBB', | ||
| 'CCCBBBBB', | ||
| 'CCCCBBBB', | ||
| 'CCCCCBBB', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR' | ||
| ), | ||
| 'p5' = c( | ||
| 'OOOOOOOO', | ||
| 'OOOOAAAA', | ||
| 'AAOAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'AAAAAAAA', | ||
| 'BBBABAAA', | ||
| 'BBAABBAA', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBAABBBB', | ||
| 'AAAABBBB', | ||
| 'BBBZZBBB', | ||
| 'ZZZZZBBB', | ||
| 'BBBZXBBB', | ||
| 'BBBBBBBB', | ||
| 'XXXXXBBB', | ||
| 'XXXZZBBB', | ||
| 'XXXXXBBB', | ||
| 'CCCCCBBB', | ||
| 'CCCCCCCC', | ||
| 'CCCCCCCC', | ||
| 'CCCRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR', | ||
| 'RRRRRRRR' | ||
| ) | ||
| ) | ||
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| griddedHZ <- function(x, ll, dw = 10, dz = 10) { | ||
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| # split horizon templates | ||
| l <- lapply(x, strsplit, fixed = TRUE, split = '') | ||
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| # convert to matrix | ||
| # rows: depth intervals (z) | ||
| # columns: width intervals (q) | ||
| m <- do.call('rbind', sapply(l, '[')) | ||
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| # integer representation of factor levels | ||
| h <- matrix( | ||
| as.integer(factor(m, levels = ll)), | ||
| ncol = ncol(m), | ||
| nrow = nrow(m), | ||
| byrow = FALSE | ||
| ) | ||
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| # width sequence | ||
| w <- seq(0, ncol(h)) * dw | ||
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| # depth sequence | ||
| z <- seq(0, nrow(h)) * dz | ||
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| # width sequence, scaled for screen | ||
| wS <- aqp:::.rescaleRange(w, 0, 0.5) | ||
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| # results | ||
| res <- list( | ||
| hz = h, | ||
| w = w, | ||
| wS = wS, | ||
| z = z | ||
| ) | ||
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| return(res) | ||
| } | ||
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| hz.levels <- c('O', 'A', 'B', 'C', 'R', 'X', 'Z') | ||
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| .nm <- names(s) | ||
| .n <- length(s) | ||
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| x <- list() | ||
| for(i in seq_along(s)) { | ||
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| .g <- griddedHZ(s[[i]], ll = hz.levels) | ||
| .g$id <- .nm[i] | ||
| .g$seq <- i | ||
| x[[i]] <- .g | ||
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| } | ||
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| .zlim <- range(seq_along(hz.levels)) | ||
| .cols <- hcl.colors(n = length(hz.levels), palette = 'Zissou1') | ||
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| par(mar = c(3, 1, 3, 2), xpd = NA) | ||
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| plot(0, 0, type = 'n', xlim = c(0, .n+1), ylim = c(max(.z), 0), axes = FALSE, xlab = '', ylab = '') | ||
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| .trash <- lapply(x, function(i) { | ||
| image( | ||
| x = i$wS + (i$seq - 0.25), | ||
| y = i$z, | ||
| z = t(i$hz), | ||
| add = TRUE, | ||
| col = .cols, | ||
| zlim = .zlim, | ||
| useRaster = TRUE, | ||
| oldstyle = TRUE | ||
| ) | ||
| }) | ||
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| text(x = 1:.n, y = 0, labels = sapply(x, '[[', 'id'), pos = 3) | ||
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| axis(side = 1, at = 1:.n, cex.axis = 0.8) | ||
| axis(side = 4, las = 1, line = -2, cex.axis = 0.75) | ||
| legend('topleft', legend = hz.levels, pch = 15, pt.cex = 1.5, col = .cols, bty = 'n') | ||
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