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Diffstat (limited to 'R/drift_data_JKI.R')
| -rw-r--r-- | R/drift_data_JKI.R | 64 |
1 files changed, 53 insertions, 11 deletions
diff --git a/R/drift_data_JKI.R b/R/drift_data_JKI.R index 888d3b5..5c500c9 100644 --- a/R/drift_data_JKI.R +++ b/R/drift_data_JKI.R @@ -1,14 +1,26 @@ #' Deposition from spray drift expressed as percent of the applied dose as #' published by the JKI -#' +#' #' Deposition from spray drift expressed as percent of the applied dose as #' published by the German Julius-Kühn Institute (JKI). -#' +#' #' The data were extracted from the spreadsheet cited below using the R code #' given in the example section. The spreadsheet is not included in the package #' as its licence is not clear. -#' -#' +#' +#' Additional spray drift values were taken from the publication by Rautmann +#' et al. (2001). Specifically, these are the values for early vines, and +#' the values for a 3 m buffer which are incomplete in the spreadsheet. +#' +#' Note that for vegetables, ornamentals and small fruit, the values for +#' field crops are used for crops < 50 cm, and the vales for late vines are +#' used for crops > 50 cm. In the JKI spreadsheet, it is indicated that +#' these values are used for spray applications with handheld/knapsack +#' equipment (tragbare Spritz- und Sprühgerate). +#' +#' Values for non-professional use listed in the JKI spreadsheet were not +#' included. +#' #' @name drift_data_JKI #' @docType data #' @format A list currently containing matrices with spray drift percentage @@ -18,27 +30,57 @@ #' from #' http://www.jki.bund.de/no_cache/de/startseite/institute/anwendungstechnik/abdrift-eckwerte.html #' on 2015-06-11 +#' Rautmann, D., Streloke, M and Winkler, R (2001) New basic drift values in +#' the authorization procedure for plant protection products Mitt. Biol. +#' Bundesanst. Land- Forstwirtsch. 383, 133-141 #' @keywords datasets #' @examples -#' +#' #' \dontrun{ #' # This is the code that was used to extract the data #' library(readxl) #' abdrift_path <- "inst/extdata/Tabelle der Abdrifteckwerte.xls" -#' JKI_crops <- c("Ackerbau", "Obstbau frueh", "Obstbau spaet") -#' names(JKI_crops) <- c("Field crops", "Pome/stone fruit, early", "Pome/stone fruit, late") +#' JKI_crops <- c("Ackerbau", "Obstbau frueh", "Obstbau spaet", "Weinbau frueh", "Weinbau spaet", +#' "Hopfenbau", "Flaechenkulturen > 900 l/ha", "Gleisanlagen") +#' names(JKI_crops) <- c("Field crops", "Pome/stone fruit, early", "Pome/stone fruit, late", +#' "Vines early", "Vines late", "Hops", "Areic cultures > 900 L/ha", "Railroad tracks") #' drift_data_JKI <- list() -#' +#' #' for (n in 1:8) { #' drift_data_raw <- read_excel(abdrift_path, sheet = n + 1, skip = 2) -#' drift_data <- as.matrix(drift_data_raw[1:9, 2:4]) -#' dimnames(drift_data) <- list(distance = as.integer(drift_data_raw[1:9, 1]), +#' drift_data <- matrix(NA, nrow = 9, ncol = length(JKI_crops)) +#' dimnames(drift_data) <- list(distance = drift_data_raw[[1]][1:9], #' crop = JKI_crops) +#' if (n == 1) { # Values for railroad tracks only present for one application +#' drift_data[, c(1:3, 5:8)] <- as.matrix(drift_data_raw[c(2:7, 11)][1:9, ]) +#' } else { +#' drift_data[, c(1:3, 5:7)] <- as.matrix(drift_data_raw[c(2:7)][1:9, ]) +#' } #' drift_data_JKI[[n]] <- drift_data #' } +#' +#' # Manual data entry from the Rautmann paper +#' drift_data_JKI[[1]]["3", "Ackerbau"] <- 0.95 +#' drift_data_JKI[[1]][, "Weinbau frueh"] <- c(NA, 2.7, 1.18, 0.39, 0.2, 0.13, 0.07, 0.04, 0.03) +#' drift_data_JKI[[2]]["3", "Ackerbau"] <- 0.79 +#' drift_data_JKI[[2]][, "Weinbau frueh"] <- c(NA, 2.53, 1.09, 0.35, 0.18, 0.11, 0.06, 0.03, 0.02) +#' drift_data_JKI[[3]]["3", "Ackerbau"] <- 0.68 +#' drift_data_JKI[[3]][, "Weinbau frueh"] <- c(NA, 2.49, 1.04, 0.32, 0.16, 0.10, 0.05, 0.03, 0.02) +#' drift_data_JKI[[4]]["3", "Ackerbau"] <- 0.62 +#' drift_data_JKI[[4]][, "Weinbau frueh"] <- c(NA, 2.44, 1.02, 0.31, 0.16, 0.10, 0.05, 0.03, 0.02) +#' drift_data_JKI[[5]]["3", "Ackerbau"] <- 0.59 +#' drift_data_JKI[[5]][, "Weinbau frueh"] <- c(NA, 2.37, 1.00, 0.31, 0.15, 0.09, 0.05, 0.03, 0.02) +#' drift_data_JKI[[6]]["3", "Ackerbau"] <- 0.56 +#' drift_data_JKI[[6]][, "Weinbau frueh"] <- c(NA, 2.29, 0.97, 0.30, 0.15, 0.09, 0.05, 0.03, 0.02) +#' drift_data_JKI[[7]]["3", "Ackerbau"] <- 0.55 +#' drift_data_JKI[[7]][, "Weinbau frueh"] <- c(NA, 2.24, 0.94, 0.29, 0.15, 0.09, 0.05, 0.03, 0.02) +#' drift_data_JKI[[8]]["3", "Ackerbau"] <- 0.52 +#' drift_data_JKI[[8]][, "Weinbau frueh"] <- c(NA, 2.16, 0.91, 0.28, 0.14, 0.09, 0.04, 0.03, 0.02) +#' +#' # Save the data #' save(drift_data_JKI, file = "data/drift_data_JKI.RData") #' } -#' +#' #' # And this is the resulting data #' drift_data_JKI NULL |