From aed160d7f0eaf5865e2bd9bf6c4b1c9d7b13d911 Mon Sep 17 00:00:00 2001 From: Ranke Johannes Date: Wed, 31 Jan 2024 13:16:17 +0100 Subject: Reorganise data generation - Use inst/data_generation for R code generating data as in some of my other packages - data/*.RData files were checked using https://github.com/jranke/dotfiles/blob/main/bin/rda_diff contents were not changed - Remove ChangeLog, the history is in the git logs - Update docs and some links contained therein - use \doi{} markup - Move logs to log directory --- docs/reference/EFSA_GW_interception_2014.html | 171 ++++++-------------------- 1 file changed, 39 insertions(+), 132 deletions(-) (limited to 'docs/reference/EFSA_GW_interception_2014.html') diff --git a/docs/reference/EFSA_GW_interception_2014.html b/docs/reference/EFSA_GW_interception_2014.html index d7ec108..8bc0b51 100644 --- a/docs/reference/EFSA_GW_interception_2014.html +++ b/docs/reference/EFSA_GW_interception_2014.html @@ -1,67 +1,12 @@ - - - - - - - -Subset of EFSA crop interception default values for groundwater modelling — EFSA_GW_interception_2014 • pfm - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Subset of EFSA crop interception default values for groundwater modelling — EFSA_GW_interception_2014 • pfm - - - - + + -
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EFSA_GW_interception_2014
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Format

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Format

A matrix containing interception values, currently only for some selected crops

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Source

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Source

European Food Safety Authority (2014) EFSA Guidance Document for evaluating laboratory and field dissipation studies to obtain DegT50 values of active substances of plant protection products and transformation products of these active substances in soil. EFSA Journal 12(5):3662, 37 pp., doi:10.2903/j.efsa.2014.3662

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Examples

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if (FALSE) { - # This is the code that was used to define the data - bbch <- paste0(0:9, "x") - crops <- c( - "Beans (field + vegetable)", - "Peas", - "Summer oilseed rape", "Winter oilseed rape", - "Tomatoes", - "Spring cereals", "Winter cereals") - EFSA_GW_interception_2014 <- matrix(NA, length(crops), length(bbch), - dimnames = list(Crop = crops, BBCH = bbch)) - EFSA_GW_interception_2014["Beans (field + vegetable)", ] <- - c(0, 0.25, rep(0.4, 2), rep(0.7, 5), 0.8) - EFSA_GW_interception_2014["Peas", ] <- - c(0, 0.35, rep(0.55, 2), rep(0.85, 5), 0.85) - EFSA_GW_interception_2014["Summer oilseed rape", ] <- - c(0, 0.4, rep(0.8, 2), rep(0.8, 5), 0.9) - EFSA_GW_interception_2014["Winter oilseed rape", ] <- - c(0, 0.4, rep(0.8, 2), rep(0.8, 5), 0.9) - EFSA_GW_interception_2014["Tomatoes", ] <- - c(0, 0.5, rep(0.7, 2), rep(0.8, 5), 0.5) - EFSA_GW_interception_2014["Spring cereals", ] <- - c(0, 0, 0.2, 0.8, rep(0.9, 3), rep(0.8, 2), 0.8) - EFSA_GW_interception_2014["Winter cereals", ] <- - c(0, 0, 0.2, 0.8, rep(0.9, 3), rep(0.8, 2), 0.8) - save(EFSA_GW_interception_2014, - file = "../data/EFSA_GW_interception_2014.RData") -} -EFSA_GW_interception_2014
#> BBCH -#> Crop 0x 1x 2x 3x 4x 5x 6x 7x 8x 9x -#> Beans (field + vegetable) 0 0.25 0.40 0.40 0.70 0.70 0.70 0.70 0.70 0.80 -#> Peas 0 0.35 0.55 0.55 0.85 0.85 0.85 0.85 0.85 0.85 -#> Summer oilseed rape 0 0.40 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.90 -#> Winter oilseed rape 0 0.40 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.90 -#> Tomatoes 0 0.50 0.70 0.70 0.80 0.80 0.80 0.80 0.80 0.50 -#> Spring cereals 0 0.00 0.20 0.80 0.90 0.90 0.90 0.80 0.80 0.80 -#> Winter cereals 0 0.00 0.20 0.80 0.90 0.90 0.90 0.80 0.80 0.80
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Examples

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EFSA_GW_interception_2014
+#>                            BBCH
+#> Crop                        0x   1x   2x   3x   4x   5x   6x   7x   8x   9x
+#>   Beans (field + vegetable)  0 0.25 0.40 0.40 0.70 0.70 0.70 0.70 0.70 0.80
+#>   Peas                       0 0.35 0.55 0.55 0.85 0.85 0.85 0.85 0.85 0.85
+#>   Summer oilseed rape        0 0.40 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.90
+#>   Winter oilseed rape        0 0.40 0.80 0.80 0.80 0.80 0.80 0.80 0.80 0.90
+#>   Tomatoes                   0 0.50 0.70 0.70 0.80 0.80 0.80 0.80 0.80 0.50
+#>   Spring cereals             0 0.00 0.20 0.80 0.90 0.90 0.90 0.80 0.80 0.80
+#>   Winter cereals             0 0.00 0.20 0.80 0.90 0.90 0.90 0.80 0.80 0.80
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