diff --git a/articles/Introduction-to-SoilProfileCollection-Objects.html b/articles/Introduction-to-SoilProfileCollection-Objects.html index 9c051943b..a47a6d460 100644 --- a/articles/Introduction-to-SoilProfileCollection-Objects.html +++ b/articles/Introduction-to-SoilProfileCollection-Objects.html @@ -364,8 +364,8 @@

Horizon and Site Data#> [1] 21 27 32 55 25 34 3 15 27 32 25 31 33 13 21 23 15 17 12 19 14 14 22 25 40 51 67 24 25 32 
 sp4$elevation # vector of simulated elevation (site data)
-
#>  [1]  830.0149 1124.7319  848.3082 1015.3434 1130.2003 1008.9701 1119.7961  829.7048 1158.2654
-#> [10] 1003.3094
+
#>  [1]  843.0698 1366.8370 1028.9023 1233.5746 1027.0144  658.0877  912.6135 1086.5831 1143.6326
+#> [10] 1015.9048
 # unit-length value explicitly targeting site data
 site(sp4)$collection_id <- 1
@@ -421,12 +421,12 @@ 
Horizon and Site Data#> 
 #> ----- Sites (6 / 10 rows  |  5 / 5 columns) -----
 #>         id elevation collection_id constant group
-#>     colusa  830.0149             1        1     A
-#>      glenn 1124.7319             1        1     B
-#>      kings  848.3082             1        1     A
-#>   mariposa 1015.3434             1        1     B
-#>  mendocino 1130.2003             1        1     A
-#>       napa 1008.9701             1        1     B
+#>     colusa  843.0698             1        1     A
+#>      glenn 1366.8370             1        1     B
+#>      kings 1028.9023             1        1     A
+#>   mariposa 1233.5746             1        1     B
+#>  mendocino 1027.0144             1        1     A
+#>       napa  658.0877             1        1     B
 #> [... more sites ...]
 #> 
 #> Spatial Data:
@@ -585,16 +585,16 @@ 
Spatial Data# extract coordinates as matrix
 getSpatial(sp4)
#>              x       y
-#>  [1,] 354003.8 4109532
-#>  [2,] 353916.5 4109568
-#>  [3,] 353994.6 4109701
-#>  [4,] 354071.6 4109515
-#>  [5,] 353982.5 4109556
-#>  [6,] 354001.0 4109376
-#>  [7,] 353960.5 4109499
-#>  [8,] 353851.0 4109545
-#>  [9,] 354029.5 4109726
-#> [10,] 353765.9 4109405
+#> [1,] 353964.9 4109637 +#> [2,] 353988.5 4109419 +#> [3,] 353709.3 4109539 +#> [4,] 353838.6 4109561 +#> [5,] 353981.3 4109532 +#> [6,] 354012.4 4109571 +#> [7,] 353877.3 4109368 +#> [8,] 354085.6 4109540 +#> [9,] 353961.5 4109429 +#> [10,] 353899.8 4109452 
 # get/set spatial reference system using prj()<-
 prj(sp4) <- '+proj=utm +zone=11 +datum=NAD83'
@@ -1639,14 +1639,14 @@ 
Aggregation over “slabs”# note: result is in long-format
 # note: horizon names are lost due to aggregation
 head(d.gsm, 7)
-
#>   variable id    value contributing_fraction top bottom
-#> 1       p1  1 15.47330             1.0000000   0      5
-#> 2       p1  1 15.47330             1.0000000   5     15
-#> 3       p1  1 15.59412             1.0000000  15     30
-#> 4       p1  1 17.87448             1.0000000  30     60
-#> 5       p1  1 19.11642             1.0000000  60    100
-#> 6       p1  1 17.85257             0.3880597 100    200
-#> 7       p1  2 21.90625             1.0000000   0      5
+
#>   variable id     value contributing_fraction top bottom
+#> 1       p1  1 11.904899             1.0000000   0      5
+#> 2       p1  1 11.907170             1.0000000   5     15
+#> 3       p1  1 11.910578             1.0000000  15     30
+#> 4       p1  1 14.993850             1.0000000  30     60
+#> 5       p1  1 17.402573             1.0000000  60    100
+#> 6       p1  1 14.966393             0.7090909 100    200
+#> 7       p1  2  6.125664             1.0000000   0      5

A simple graphical comparison of the original and re-aligned soil profile data, after converting slab() result from long -> wide format with {data.table} dcast():

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Changelog

-

aqp 2.0.2 (2023-10-24)

+

aqp 2.0.2 (2023-11-17)