From d66bd4aa0bf9c4d9b8793a4e308c9e80691b440f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Sun, 12 Nov 2023 21:40:01 +0100 Subject: Enable links to source, upgrade to bootstrap 5 --- docs/reference/FOCUS_Step_12_scenarios.html | 507 ++++++++++++---------------- 1 file changed, 219 insertions(+), 288 deletions(-) (limited to 'docs/reference/FOCUS_Step_12_scenarios.html') diff --git a/docs/reference/FOCUS_Step_12_scenarios.html b/docs/reference/FOCUS_Step_12_scenarios.html index bbfb592..dc1e4c3 100644 --- a/docs/reference/FOCUS_Step_12_scenarios.html +++ b/docs/reference/FOCUS_Step_12_scenarios.html @@ -1,324 +1,255 @@ - - - - - - - -Step 1/2 scenario data as distributed with the FOCUS Step 1/2 calculator — FOCUS_Step_12_scenarios • pfm - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Step 1/2 scenario data as distributed with the FOCUS Step 1/2 calculator — FOCUS_Step_12_scenarios • pfm + + Skip to contents + +
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The data were extracted from the scenario.txt file using the R code shown below. The text file is not included in the package as its licence is not clear.

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Format

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Format

A list containing the scenario names in a character vector called 'names', the drift percentiles in a matrix called 'drift', interception percentages in a matrix called 'interception' and the runoff/drainage percentages for Step 2 calculations in a matrix called 'rd'.

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Examples

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-if (FALSE) { - # This is the code that was used to extract the data - scenario_path <- "inst/extdata/FOCUS_Step_12_scenarios.txt" - scenarios <- readLines(scenario_path)[9:38] - FOCUS_Step_12_scenarios <- list() - sce <- read.table(text = scenarios, sep = "\t", header = TRUE, check.names = FALSE, - stringsAsFactors = FALSE) - FOCUS_Step_12_scenarios$names = sce$Crop - rownames(sce) <- sce$Crop - FOCUS_Step_12_scenarios$drift = sce[, 3:11] - FOCUS_Step_12_scenarios$interception = sce[, 12:15] - sce_2 <- readLines(scenario_path)[41:46] - rd <- read.table(text = sce_2, sep = "\t")[1:2] - rd_mat <- matrix(rd$V2, nrow = 3, byrow = FALSE) - dimnames(rd_mat) = list(Time = c("Oct-Feb", "Mar-May", "Jun-Sep"), - Region = c("North", "South")) - FOCUS_Step_12_scenarios$rd = rd_mat - save(FOCUS_Step_12_scenarios, file = "data/FOCUS_Step_12_scenarios.RData") -} - -# And this is the resulting data -FOCUS_Step_12_scenarios
#> $names -#> [1] "cereals, spring" "cereals, winter" -#> [3] "citrus" "cotton" -#> [5] "field beans" "grass / alfalfa" -#> [7] "hops" "legumes" -#> [9] "maize" "oil seed rape, spring" -#> [11] "oil seed rape, winter" "olives" -#> [13] "pome / stone fruit, early applns" "pome / stone fruit, late applns" -#> [15] "potatoes" "soybeans" -#> [17] "sugar beets" "sunflowers" -#> [19] "tobacco" "vegetables, bulb" -#> [21] "vegetables, fruiting" "vegetables, leafy" -#> [23] "vegetables, root" "vines, early applns" -#> [25] "vines, late applns" "appln, aerial" -#> [27] "appln, hand (crop < 50 cm)" "appln, hand (crop > 50 cm)" -#> [29] "no drift (incorp or seed trtmt)" -#> -#> $drift -#> 1 2 3 4 5 6 -#> cereals, spring 2.759 2.438 2.024 1.862 1.794 1.631 -#> cereals, winter 2.759 2.438 2.024 1.862 1.794 1.631 -#> citrus 15.725 12.129 11.011 10.124 9.743 9.204 -#> cotton 2.759 2.438 2.024 1.862 1.794 1.631 -#> field beans 2.759 2.438 2.024 1.862 1.794 1.631 -#> grass / alfalfa 2.759 2.438 2.024 1.862 1.794 1.631 -#> hops 19.326 17.723 15.928 15.378 15.114 14.902 -#> legumes 2.759 2.438 2.024 1.862 1.794 1.631 -#> maize 2.759 2.438 2.024 1.862 1.794 1.631 -#> oil seed rape, spring 2.759 2.438 2.024 1.862 1.794 1.631 -#> oil seed rape, winter 2.759 2.438 2.024 1.862 1.794 1.631 -#> olives 15.725 12.129 11.011 10.124 9.743 9.204 -#> pome / stone fruit, early applns 29.197 25.531 23.960 23.603 23.116 22.760 -#> pome / stone fruit, late applns 15.725 12.129 11.011 10.124 9.743 9.204 -#> potatoes 2.759 2.438 2.024 1.862 1.794 1.631 -#> soybeans 2.759 2.438 2.024 1.862 1.794 1.631 -#> sugar beets 2.759 2.438 2.024 1.862 1.794 1.631 -#> sunflowers 2.759 2.438 2.024 1.862 1.794 1.631 -#> tobacco 2.759 2.438 2.024 1.862 1.794 1.631 -#> vegetables, bulb 2.759 2.438 2.024 1.862 1.794 1.631 -#> vegetables, fruiting 2.759 2.438 2.024 1.862 1.794 1.631 -#> vegetables, leafy 2.759 2.438 2.024 1.862 1.794 1.631 -#> vegetables, root 2.759 2.438 2.024 1.862 1.794 1.631 -#> vines, early applns 2.699 2.496 2.546 2.499 2.398 2.336 -#> vines, late applns 8.028 7.119 6.898 6.631 6.636 6.431 -#> appln, aerial 33.200 33.200 33.200 33.200 33.200 33.200 -#> appln, hand (crop < 50 cm) 2.759 2.438 2.024 1.862 1.794 1.631 -#> appln, hand (crop > 50 cm) 8.028 7.119 6.898 6.631 6.636 6.431 -#> no drift (incorp or seed trtmt) 0.000 0.000 0.000 0.000 0.000 0.000 -#> 7 8 >8 -#> cereals, spring 1.578 1.512 1.512 -#> cereals, winter 1.578 1.512 1.512 -#> citrus 9.102 8.656 8.656 -#> cotton 1.578 1.512 1.512 -#> field beans 1.578 1.512 1.512 -#> grass / alfalfa 1.578 1.512 1.512 -#> hops 14.628 13.520 13.520 -#> legumes 1.578 1.512 1.512 -#> maize 1.578 1.512 1.512 -#> oil seed rape, spring 1.578 1.512 1.512 -#> oil seed rape, winter 1.578 1.512 1.512 -#> olives 9.102 8.656 8.656 -#> pome / stone fruit, early applns 22.690 22.241 22.241 -#> pome / stone fruit, late applns 9.102 8.656 8.656 -#> potatoes 1.578 1.512 1.512 -#> soybeans 1.578 1.512 1.512 -#> sugar beets 1.578 1.512 1.512 -#> sunflowers 1.578 1.512 1.512 -#> tobacco 1.578 1.512 1.512 -#> vegetables, bulb 1.578 1.512 1.512 -#> vegetables, fruiting 1.578 1.512 1.512 -#> vegetables, leafy 1.578 1.512 1.512 -#> vegetables, root 1.578 1.512 1.512 -#> vines, early applns 2.283 2.265 2.265 -#> vines, late applns 6.227 6.173 6.173 -#> appln, aerial 33.200 33.200 33.200 -#> appln, hand (crop < 50 cm) 1.578 1.512 1.512 -#> appln, hand (crop > 50 cm) 6.227 6.173 6.173 -#> no drift (incorp or seed trtmt) 0.000 0.000 0.000 -#> -#> $interception -#> no interception minimal crop cover -#> cereals, spring 0 0.00 -#> cereals, winter 0 0.00 -#> citrus 0 0.80 -#> cotton 0 0.30 -#> field beans 0 0.25 -#> grass / alfalfa 0 0.40 -#> hops 0 0.20 -#> legumes 0 0.25 -#> maize 0 0.25 -#> oil seed rape, spring 0 0.40 -#> oil seed rape, winter 0 0.40 -#> olives 0 0.70 -#> pome / stone fruit, early applns 0 0.20 -#> pome / stone fruit, late applns 0 0.20 -#> potatoes 0 0.15 -#> soybeans 0 0.20 -#> sugar beets 0 0.20 -#> sunflowers 0 0.20 -#> tobacco 0 0.20 -#> vegetables, bulb 0 0.10 -#> vegetables, fruiting 0 0.25 -#> vegetables, leafy 0 0.25 -#> vegetables, root 0 0.25 -#> vines, early applns 0 0.40 -#> vines, late applns 0 0.40 -#> appln, aerial 0 0.20 -#> appln, hand (crop < 50 cm) 0 0.20 -#> appln, hand (crop > 50 cm) 0 0.20 -#> no drift (incorp or seed trtmt) 0 0.00 -#> average crop cover full canopy -#> cereals, spring 0.20 0.70 -#> cereals, winter 0.20 0.70 -#> citrus 0.80 0.80 -#> cotton 0.60 0.75 -#> field beans 0.40 0.70 -#> grass / alfalfa 0.60 0.75 -#> hops 0.50 0.70 -#> legumes 0.50 0.70 -#> maize 0.50 0.75 -#> oil seed rape, spring 0.70 0.75 -#> oil seed rape, winter 0.70 0.75 -#> olives 0.70 0.70 -#> pome / stone fruit, early applns 0.40 0.65 -#> pome / stone fruit, late applns 0.40 0.65 -#> potatoes 0.50 0.70 -#> soybeans 0.50 0.75 -#> sugar beets 0.70 0.75 -#> sunflowers 0.50 0.75 -#> tobacco 0.70 0.75 -#> vegetables, bulb 0.25 0.40 -#> vegetables, fruiting 0.50 0.70 -#> vegetables, leafy 0.40 0.70 -#> vegetables, root 0.50 0.70 -#> vines, early applns 0.50 0.60 -#> vines, late applns 0.50 0.60 -#> appln, aerial 0.50 0.70 -#> appln, hand (crop < 50 cm) 0.50 0.70 -#> appln, hand (crop > 50 cm) 0.50 0.70 -#> no drift (incorp or seed trtmt) 0.00 0.00 -#> -#> $rd -#> Region -#> Time North South -#> Oct-Feb 5 4 -#> Mar-May 2 4 -#> Jun-Sep 2 3 -#>
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Examples

+

+if (FALSE) {
+  # This is the code that was used to extract the data
+  scenario_path <- "inst/extdata/FOCUS_Step_12_scenarios.txt"
+  scenarios <- readLines(scenario_path)[9:38]
+  FOCUS_Step_12_scenarios <- list()
+  sce <- read.table(text = scenarios, sep = "\t", header = TRUE, check.names = FALSE,
+    stringsAsFactors = FALSE)
+  FOCUS_Step_12_scenarios$names = sce$Crop
+  rownames(sce) <- sce$Crop
+  FOCUS_Step_12_scenarios$drift = sce[, 3:11]
+  FOCUS_Step_12_scenarios$interception = sce[, 12:15]
+  sce_2 <- readLines(scenario_path)[41:46]
+  rd <- read.table(text = sce_2, sep = "\t")[1:2]
+  rd_mat <- matrix(rd$V2, nrow = 3, byrow = FALSE)
+  dimnames(rd_mat) = list(Time = c("Oct-Feb", "Mar-May", "Jun-Sep"),
+                          Region = c("North", "South"))
+  FOCUS_Step_12_scenarios$rd = rd_mat
+  save(FOCUS_Step_12_scenarios, file = "data/FOCUS_Step_12_scenarios.RData")
+}
+
+# And this is the resulting data
+FOCUS_Step_12_scenarios
+#> $names
+#>  [1] "cereals, spring"                  "cereals, winter"                 
+#>  [3] "citrus"                           "cotton"                          
+#>  [5] "field beans"                      "grass / alfalfa"                 
+#>  [7] "hops"                             "legumes"                         
+#>  [9] "maize"                            "oil seed rape, spring"           
+#> [11] "oil seed rape, winter"            "olives"                          
+#> [13] "pome / stone fruit, early applns" "pome / stone fruit, late applns" 
+#> [15] "potatoes"                         "soybeans"                        
+#> [17] "sugar beets"                      "sunflowers"                      
+#> [19] "tobacco"                          "vegetables, bulb"                
+#> [21] "vegetables, fruiting"             "vegetables, leafy"               
+#> [23] "vegetables, root"                 "vines, early applns"             
+#> [25] "vines, late applns"               "appln, aerial"                   
+#> [27] "appln, hand (crop < 50 cm)"       "appln, hand (crop > 50 cm)"      
+#> [29] "no drift (incorp or seed trtmt)" 
+#> 
+#> $drift
+#>                                       1      2      3      4      5      6
+#> cereals, spring                   2.759  2.438  2.024  1.862  1.794  1.631
+#> cereals, winter                   2.759  2.438  2.024  1.862  1.794  1.631
+#> citrus                           15.725 12.129 11.011 10.124  9.743  9.204
+#> cotton                            2.759  2.438  2.024  1.862  1.794  1.631
+#> field beans                       2.759  2.438  2.024  1.862  1.794  1.631
+#> grass / alfalfa                   2.759  2.438  2.024  1.862  1.794  1.631
+#> hops                             19.326 17.723 15.928 15.378 15.114 14.902
+#> legumes                           2.759  2.438  2.024  1.862  1.794  1.631
+#> maize                             2.759  2.438  2.024  1.862  1.794  1.631
+#> oil seed rape, spring             2.759  2.438  2.024  1.862  1.794  1.631
+#> oil seed rape, winter             2.759  2.438  2.024  1.862  1.794  1.631
+#> olives                           15.725 12.129 11.011 10.124  9.743  9.204
+#> pome / stone fruit, early applns 29.197 25.531 23.960 23.603 23.116 22.760
+#> pome / stone fruit, late applns  15.725 12.129 11.011 10.124  9.743  9.204
+#> potatoes                          2.759  2.438  2.024  1.862  1.794  1.631
+#> soybeans                          2.759  2.438  2.024  1.862  1.794  1.631
+#> sugar beets                       2.759  2.438  2.024  1.862  1.794  1.631
+#> sunflowers                        2.759  2.438  2.024  1.862  1.794  1.631
+#> tobacco                           2.759  2.438  2.024  1.862  1.794  1.631
+#> vegetables, bulb                  2.759  2.438  2.024  1.862  1.794  1.631
+#> vegetables, fruiting              2.759  2.438  2.024  1.862  1.794  1.631
+#> vegetables, leafy                 2.759  2.438  2.024  1.862  1.794  1.631
+#> vegetables, root                  2.759  2.438  2.024  1.862  1.794  1.631
+#> vines, early applns               2.699  2.496  2.546  2.499  2.398  2.336
+#> vines, late applns                8.028  7.119  6.898  6.631  6.636  6.431
+#> appln, aerial                    33.200 33.200 33.200 33.200 33.200 33.200
+#> appln, hand (crop < 50 cm)        2.759  2.438  2.024  1.862  1.794  1.631
+#> appln, hand (crop > 50 cm)        8.028  7.119  6.898  6.631  6.636  6.431
+#> no drift (incorp or seed trtmt)   0.000  0.000  0.000  0.000  0.000  0.000
+#>                                       7      8     >8
+#> cereals, spring                   1.578  1.512  1.512
+#> cereals, winter                   1.578  1.512  1.512
+#> citrus                            9.102  8.656  8.656
+#> cotton                            1.578  1.512  1.512
+#> field beans                       1.578  1.512  1.512
+#> grass / alfalfa                   1.578  1.512  1.512
+#> hops                             14.628 13.520 13.520
+#> legumes                           1.578  1.512  1.512
+#> maize                             1.578  1.512  1.512
+#> oil seed rape, spring             1.578  1.512  1.512
+#> oil seed rape, winter             1.578  1.512  1.512
+#> olives                            9.102  8.656  8.656
+#> pome / stone fruit, early applns 22.690 22.241 22.241
+#> pome / stone fruit, late applns   9.102  8.656  8.656
+#> potatoes                          1.578  1.512  1.512
+#> soybeans                          1.578  1.512  1.512
+#> sugar beets                       1.578  1.512  1.512
+#> sunflowers                        1.578  1.512  1.512
+#> tobacco                           1.578  1.512  1.512
+#> vegetables, bulb                  1.578  1.512  1.512
+#> vegetables, fruiting              1.578  1.512  1.512
+#> vegetables, leafy                 1.578  1.512  1.512
+#> vegetables, root                  1.578  1.512  1.512
+#> vines, early applns               2.283  2.265  2.265
+#> vines, late applns                6.227  6.173  6.173
+#> appln, aerial                    33.200 33.200 33.200
+#> appln, hand (crop < 50 cm)        1.578  1.512  1.512
+#> appln, hand (crop > 50 cm)        6.227  6.173  6.173
+#> no drift (incorp or seed trtmt)   0.000  0.000  0.000
+#> 
+#> $interception
+#>                                  no interception minimal crop cover
+#> cereals, spring                                0               0.00
+#> cereals, winter                                0               0.00
+#> citrus                                         0               0.80
+#> cotton                                         0               0.30
+#> field beans                                    0               0.25
+#> grass / alfalfa                                0               0.40
+#> hops                                           0               0.20
+#> legumes                                        0               0.25
+#> maize                                          0               0.25
+#> oil seed rape, spring                          0               0.40
+#> oil seed rape, winter                          0               0.40
+#> olives                                         0               0.70
+#> pome / stone fruit, early applns               0               0.20
+#> pome / stone fruit, late applns                0               0.20
+#> potatoes                                       0               0.15
+#> soybeans                                       0               0.20
+#> sugar beets                                    0               0.20
+#> sunflowers                                     0               0.20
+#> tobacco                                        0               0.20
+#> vegetables, bulb                               0               0.10
+#> vegetables, fruiting                           0               0.25
+#> vegetables, leafy                              0               0.25
+#> vegetables, root                               0               0.25
+#> vines, early applns                            0               0.40
+#> vines, late applns                             0               0.40
+#> appln, aerial                                  0               0.20
+#> appln, hand (crop < 50 cm)                     0               0.20
+#> appln, hand (crop > 50 cm)                     0               0.20
+#> no drift (incorp or seed trtmt)                0               0.00
+#>                                  average crop cover full canopy
+#> cereals, spring                                0.20        0.70
+#> cereals, winter                                0.20        0.70
+#> citrus                                         0.80        0.80
+#> cotton                                         0.60        0.75
+#> field beans                                    0.40        0.70
+#> grass / alfalfa                                0.60        0.75
+#> hops                                           0.50        0.70
+#> legumes                                        0.50        0.70
+#> maize                                          0.50        0.75
+#> oil seed rape, spring                          0.70        0.75
+#> oil seed rape, winter                          0.70        0.75
+#> olives                                         0.70        0.70
+#> pome / stone fruit, early applns               0.40        0.65
+#> pome / stone fruit, late applns                0.40        0.65
+#> potatoes                                       0.50        0.70
+#> soybeans                                       0.50        0.75
+#> sugar beets                                    0.70        0.75
+#> sunflowers                                     0.50        0.75
+#> tobacco                                        0.70        0.75
+#> vegetables, bulb                               0.25        0.40
+#> vegetables, fruiting                           0.50        0.70
+#> vegetables, leafy                              0.40        0.70
+#> vegetables, root                               0.50        0.70
+#> vines, early applns                            0.50        0.60
+#> vines, late applns                             0.50        0.60
+#> appln, aerial                                  0.50        0.70
+#> appln, hand (crop < 50 cm)                     0.50        0.70
+#> appln, hand (crop > 50 cm)                     0.50        0.70
+#> no drift (incorp or seed trtmt)                0.00        0.00
+#> 
+#> $rd
+#>          Region
+#> Time      North South
+#>   Oct-Feb     5     4
+#>   Mar-May     2     4
+#>   Jun-Sep     2     3
+#> 
+
+
+
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