R/drift_data_JKI.R
drift_data_JKI.RdDeposition from spray drift expressed as percent of the applied dose as published by the German Julius-Kühn Institute (JKI).
A list currently containing matrices with spray drift percentage data for field crops (Ackerbau), and Pome/stone fruit, early and late (Obstbau frueh, spaet).
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
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.
# NOT RUN { # 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") 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]), crop = JKI_crops) drift_data_JKI[[n]] <- drift_data } save(drift_data_JKI, file = "data/drift_data_JKI.RData") # }# And this is the resulting data drift_data_JKI#> [[1]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 2.77 NA NA #> 3 NA 29.20 15.73 #> 5 0.57 19.89 8.41 #> 10 0.29 11.81 3.60 #> 15 0.20 5.55 1.81 #> 20 0.15 2.77 1.09 #> 30 0.10 1.04 0.54 #> 40 0.07 0.52 0.32 #> 50 0.06 0.30 0.22 #> #> [[2]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 2.38 NA NA #> 3 NA 25.53 12.13 #> 5 0.47 16.87 6.81 #> 10 0.24 9.61 3.11 #> 15 0.16 5.61 1.58 #> 20 0.12 2.59 0.90 #> 30 0.08 0.87 0.40 #> 40 0.06 0.40 0.23 #> 50 0.05 0.22 0.15 #> #> [[3]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 2.01 NA NA #> 3 NA 23.96 11.01 #> 5 0.41 15.79 6.04 #> 10 0.20 8.96 2.67 #> 15 0.14 4.24 1.39 #> 20 0.10 2.01 0.80 #> 30 0.07 0.70 0.36 #> 40 0.05 0.33 0.21 #> 50 0.04 0.19 0.13 #> #> [[4]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 1.85 NA NA #> 3 NA 23.61 10.12 #> 5 0.38 15.42 5.60 #> 10 0.19 8.66 2.50 #> 15 0.13 4.01 1.28 #> 20 0.10 1.89 0.75 #> 30 0.06 0.66 0.35 #> 40 0.05 0.31 0.20 #> 50 0.04 0.17 0.13 #> #> [[5]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 1.75 NA NA #> 3 NA 23.12 9.74 #> 5 0.36 15.06 5.41 #> 10 0.18 8.42 2.43 #> 15 0.12 3.83 1.24 #> 20 0.09 1.81 0.72 #> 30 0.06 0.63 0.34 #> 40 0.05 0.30 0.20 #> 50 0.04 0.17 0.13 #> #> [[6]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 1.64 NA NA #> 3 NA 22.76 9.21 #> 5 0.34 14.64 5.18 #> 10 0.17 8.04 2.38 #> 15 0.11 3.71 1.20 #> 20 0.09 1.75 0.68 #> 30 0.06 0.61 0.31 #> 40 0.04 0.29 0.17 #> 50 0.03 0.16 0.11 #> #> [[7]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 1.61 NA NA #> 3 NA 22.69 9.10 #> 5 0.33 14.45 5.11 #> 10 0.17 7.83 2.33 #> 15 0.11 3.62 1.20 #> 20 0.08 1.71 0.67 #> 30 0.06 0.60 0.30 #> 40 0.04 0.28 0.17 #> 50 0.03 0.16 0.11 #> #> [[8]] #> crop #> distance Ackerbau Obstbau frueh Obstbau spaet #> 1 1.52 NA NA #> 3 NA 22.24 8.66 #> 5 0.31 14.09 4.92 #> 10 0.16 7.58 2.29 #> 15 0.11 3.48 1.14 #> 20 0.08 1.65 0.65 #> 30 0.05 0.57 0.29 #> 40 0.04 0.27 0.16 #> 50 0.03 0.15 0.11 #>