#' @title
#' Prepares synergy irrigated area extent
#'
#' @description
#' Combines all elements of the synergy irrigated area extent (maximum irrigated area and rank),
#' with information on the location of the subnational units and fixes potential inconsistencies
#' (e.g. irrigated area larger than grid cell size).
#'
#' @inheritParams create_folders
#'
#' @examples
#' \dontrun{
#' prepare_irrigated_area(param)
#' }
#'
#' @export
prepare_irrigated_area <- function(param) {
stopifnot(inherits(param, "mapspamc_par"))
cat("\n\n=> Prepare irrigated area")
load_data(c("adm_map_r", "adm_list", "ia_max", "ia_rank", "grid"), param, local = TRUE, mess = FALSE)
# Grid size
grid_size <- calc_grid_size(grid)
# Combine and remove cells where gridID is missing
df <- as.data.frame(c(grid, ia_rank, ia_max, grid_size), xy = TRUE) %>%
dplyr::filter(!is.na(gridID))
# Fix inconsistencies
# Set ia_max to grid_size if it is larger than grid_size
df <- df %>%
dplyr::mutate(ia_max = ifelse(grid_size < ia_max, grid_size, ia_max))
# Remove gridID where ia_rank is NA
df <- df %>%
dplyr::filter(!is.na(ia_rank))
# Set adm_level
if (param$solve_level == 0) {
adm_code_list <- unique(adm_list$adm0_code)
} else {
adm_code_list <- unique(adm_list$adm1_code)
}
# Save in line with solve level
purrr::walk(adm_code_list, split_spatial, df, "ia", adm_map_r, param)
}
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