#' 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
#' data for field crops (Ackerbau), and Pome/stone fruit, early and late
#' (Obstbau frueh, spaet).
#' @source JKI (2010) Spreadsheet 'Tabelle der Abdrifteckwerte.xls', retrieved
#' 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", "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 <- 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