diff options
Diffstat (limited to 'man/drift_data_JKI.Rd')
| -rw-r--r-- | man/drift_data_JKI.Rd | 51 |
1 files changed, 47 insertions, 4 deletions
diff --git a/man/drift_data_JKI.Rd b/man/drift_data_JKI.Rd index 5597b66..fcf4e6e 100644 --- a/man/drift_data_JKI.Rd +++ b/man/drift_data_JKI.Rd @@ -13,6 +13,9 @@ 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 } \description{ Deposition from spray drift expressed as percent of the applied dose as @@ -22,6 +25,19 @@ 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. } \examples{ @@ -29,17 +45,44 @@ as its licence is not clear. # 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") } |