#' @title plotMapCellranking
#' @description map of cellranking
#'
#' @param lpjml LPJmL version required for respective inputs: natveg or crop
#' @param selectyears Year to be displayed
#' @param iniyear Initialization year of irrigation system
#' @param climatetype Switch between different climate scenarios or historical baseline "GSWP3-W5E5:historical"
#' @param yieldcalib FAO (LPJmL yields calibrated with current FAO yield) or
#' calibrated (LPJmL yield potentials harmonized to baseline and calibrated for proxycrops) or
#' smoothed (smoothed LPJmL yield potentials, not harmonized, not calibrated) or
#' smoothed_calib (smoothed LPJmL yield potentials, not harmonized, calibrated for proxycrops)
#' @param rankmethod Rank and optimization method consisting of
#' Unit according to which rank is calculated:
#' tDM (tons per dry matter),
#' USD_ha (USD per hectare) for area return, or
#' USD_m3 (USD per cubic meter) for volumetric return;
#' and boolean indicating fullpotential (TRUE, i.e. cell receives full irrigation
#' requirements in total area)
#' or reduced potential (FALSE, reduced potential of cell receives
#' at later stage in allocation algorithm);
#' separated by ":"
#' @param cropmix Cropmix for which irrigation yield improvement is calculated
#' can be selection of proxycrop(s) for calculation of average yield gain
#' or hist_irrig or hist_total for historical cropmix
#' @param multicropping Multicropping activated (TRUE) or not (FALSE)
#'
#' @return magpie object in cellular resolution
#' @author Felicitas Beier
#'
#' @examples
#' \dontrun{
#' plotMapCellranking()
#' }
#'
#' @importFrom luplot plotmap2
#'
#' @export
plotMapCellranking <- function(lpjml, climatetype, selectyears, rankmethod,
cropmix, iniyear, yieldcalib, multicropping) {
if (length(selectyears) > 1) {
stop("Please select one year only for the map")
}
glocellrank <- calcOutput("IrrigCellranking", method = rankmethod,
lpjml = lpjml, climatetype = climatetype, cellrankyear = selectyears,
cropmix = cropmix, iniyear = iniyear, yieldcalib = yieldcalib,
multicropping = multicropping, aggregate = FALSE)
if (length(glocellrank[, 1, 1]) > 67420) {
glocellrank <- glocellrank[1:67420, , ]
getCells(glocellrank) <- gsub("A_", "", getCells(glocellrank))
}
out <- plotmap2(toolLPJcell2MAgPIEcell(glocellrank), lowcol = "darkred", highcol = "white")
return(out)
}
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