#'@importFrom Rdpack reprompt
#'@import doParallel
#'@import raster
NULL
#' Evaluates Drought Conditions (All Criteria) Based on Raster Time Series.
#'
#' \code{evaluateDroughtNema1} evaluates
#' for a target time period, if
#' for a given spatial and temporal point drought or near drought conditions are
#' prevalent or not (according to the main criteria classification of the NEMA).
#'
#' @param droughttemperaturemain A \code{RasterBrick} object a returned by
#' \code{\link{evaluateDroughtNemaTemperatureMain}} containing the classification
#' if the temepratures of respective ten-day intervals for a pixel result in
#' drought conditions or near-drought conditions (according to the meain criteria).
#' @param droughttemperatureadditional A \code{RasterBrick} object a returned by
#' \code{\link{evaluateDroughtNemaTemperatureAdditional}} containing the classification
#' if the temepratures of respective ten-day intervals for a pixel result in
#' drought conditions (according to the additional criteria).
#' @param droughtprecipitation A \code{RasterBrick} object a returned by
#' \code{\link{evaluateDroughtNemaPrecipitation}} containing the classification
#' if the precipitation of respective ten-day intervals for a pixel result in
#' drought conditions or near-drought conditions.
#' @param droughtairhumidity A \code{RasterBrick} object a returned by
#' \code{\link{evaluateDroughtNemaAirhumidity}} containing the classification
#' if the relative air humidity of respective ten-day intervals for a pixel result in
#' drought conditions.
#' @param timedate A \code{POSIXct} vector containing the time information
#' for all layers of the input raster objects.
#' @details
#' @return A list with two elements:
#' \describe{
#' \item{\code{drought}}{A \code{RasterBrick} object containing for each
#' fixed ten-day interval a layer classifying if there were
#' drought conditions or near-drought conditions according to all criteria or not.}
#' \item{\code{time}}{A character vector specifying the date of the first day of the
#' respective fixed ten-day interval.}
#' }
#' @seealso
#' @examples #
#' @export
evaluateDroughtNema1 <- function(droughttemperaturemain,
droughttemperatureadditional,
droughtprecipitation,
droughtairhumidity,
timedate
){
# check if all raster objects have the same number of layers
if(length(unique(c(nlayers(droughttemperaturemain), nlayers(droughttemperatureadditional), nlayers(droughtprecipitation), nlayers(droughtairhumidity)))) != 1){
stop("All raster objects must have the same number of layers\n")
}
# check if timedate has as many elements as droughttemperaturemain layers
if(length(timedate) != nlayers(droughttemperaturemain)){
stop("length(timedate) != nlayers(droughttemperaturemain)\n")
}
# compute for each study period tdi where near drought and drought conditions existed according to the temperature
brickdrought <- foreach(studytdi = seq_along(timedate), .combine = brick, .multicombine = TRUE, .export = c("droughttemperaturemain", "droughttemperatureadditional", "droughtprecipitation", "droughtairhumidity", "timedate")) %dopar% {
# create a raster with the same spatial properties as droughttemperaturemain and fill all values with NA
rasterdrought <- droughttemperaturemain[[1]]
values(rasterdrought) <- NA
# get an index for near dought pixels
ndindex <- which(values(droughttemperaturemain[[studytdi]]) == 1 & values(droughtprecipitation[[studytdi]]) == 1)
# get an index for dought pixels
dindex <- which(values(droughttemperaturemain[[studytdi]]) == 2 & values(droughtprecipitation[[studytdi]]) == 2 | values(droughttemperatureadditional[[studytdi]]) == 1 | values(droughtairhumidity[[studytdi]]) == 1)
# write the results to rasterdrought
rasterdrought[ndindex] <- 1
rasterdrought[dindex] <- 2
# return rasterdrought
return(rasterdrought)
}
# return the raster along with the time information
list(drought = brickdrought, time = timedate)
}
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