diff --git a/articles/Introduction-to-SoilProfileCollection-Objects.html b/articles/Introduction-to-SoilProfileCollection-Objects.html index 1b1a4135..44d8bb01 100644 --- a/articles/Introduction-to-SoilProfileCollection-Objects.html +++ b/articles/Introduction-to-SoilProfileCollection-Objects.html @@ -373,8 +373,8 @@

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$elevation # vector of simulated elevation (site data)
-
#>  [1] 1022.3399 1203.3951 1083.7666 1128.5180 1216.1056  535.7320 1066.8665 1109.1063  929.2504
-#> [10] 1009.1309
+
#>  [1] 1009.9889 1006.1053  944.9123  932.4596 1065.9364 1022.1107 1368.4942 1113.8545 1122.1764
+#> [10] 1212.8237
 # unit-length value explicitly targeting site data
 site(sp4)$collection_id <- 1
@@ -430,12 +430,12 @@ 
Horizon and Site Data#> 
 #> ----- Sites (6 / 10 rows  |  5 / 5 columns) -----
 #>         id elevation collection_id constant group
-#>     colusa  1022.340             1        1     A
-#>      glenn  1203.395             1        1     B
-#>      kings  1083.767             1        1     A
-#>   mariposa  1128.518             1        1     B
-#>  mendocino  1216.106             1        1     A
-#>       napa   535.732             1        1     B
+#>     colusa 1009.9889             1        1     A
+#>      glenn 1006.1053             1        1     B
+#>      kings  944.9123             1        1     A
+#>   mariposa  932.4596             1        1     B
+#>  mendocino 1065.9364             1        1     A
+#>       napa 1022.1107             1        1     B
 #> [... more sites ...]
 #> 
 #> Spatial Data:
@@ -594,16 +594,16 @@ 
Spatial Data# extract coordinates as matrix
 getSpatial(sp4)
#>              x       y
-#>  [1,] 353960.5 4109745
-#>  [2,] 354031.4 4109540
-#>  [3,] 353992.7 4109635
-#>  [4,] 354144.0 4109630
-#>  [5,] 354194.7 4109483
-#>  [6,] 354086.9 4109318
-#>  [7,] 353849.7 4109454
-#>  [8,] 354081.5 4109532
-#>  [9,] 354334.5 4109422
-#> [10,] 354068.1 4109592
+#> [1,] 353783.1 4109357 +#> [2,] 354163.2 4109556 +#> [3,] 354088.0 4109566 +#> [4,] 353944.1 4109435 +#> [5,] 353877.0 4109613 +#> [6,] 353957.6 4109556 +#> [7,] 353994.9 4109491 +#> [8,] 354048.2 4109584 +#> [9,] 353947.6 4109520 +#> [10,] 353937.6 4109442 
 # get/set spatial reference system using prj()<-
 prj(sp4) <- '+proj=utm +zone=11 +datum=NAD83'
@@ -1660,13 +1660,13 @@ 
Aggregation over “slabs”# note: horizon names are lost due to aggregation
 head(d.gsm, 7)
#>   variable id    value contributing_fraction top bottom
-#> 1       p1  1 22.90227                  1.00   0      5
-#> 2       p1  1 22.90227                  1.00   5     15
-#> 3       p1  1 22.91421                  1.00  15     30
-#> 4       p1  1 23.25383                  1.00  30     60
-#> 5       p1  1 28.06044                  1.00  60    100
-#> 6       p1  1 26.91447                  0.46 100    200
-#> 7       p1  2 13.58069                  1.00   0      5
+#> 1 p1 1 19.77679 1.0 0 5 +#> 2 p1 1 19.79667 1.0 5 15 +#> 3 p1 1 19.84657 1.0 15 30 +#> 4 p1 1 21.41035 1.0 30 60 +#> 5 p1 1 23.46578 0.7 60 100 +#> 6 p1 1 NaN 0.0 100 200 +#> 7 p1 2 24.10446 1.0 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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Value

logical vector with length (and order) matching the horizons of x

+ +
+

Details

+

Horizons with NA depths can be flagged as overlapping. Consider finding these horizons with checkHzDepthLogic(byhz=TRUE) and removing or fixing them.

+
+
+

See also

+

checkHzDepthLogic() fillHzGaps()

Author

-

D.E. Beaudette

+

D.E. Beaudette, A.G. Brown