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#' countryChecklists
#'
#' Prepares user provided reference regions on a country level
#'
#' @importFrom raster area
#' @importFrom rworldmap getMap
#' @param countries vector with one or more country names
#' @param biogeo_status vector informing the status of each country: alien,
#' native or unknown
#' @return This function provides shapefiles of countries with the
#' correspondent biogeographic status of the species.
#' @examples
#' country_checklist <- countryChecklist(
#' c("Brazil","Argentina","Uruguay","Paraguay"),
#' c("native","alien","unknown","native"))
#' @export
countryChecklist <- function(countries, biogeo_status) {
if (length(countries) != length(biogeo_status)) {
stop("countries and biogeo_status have different lengths")
}
world <- getMap()
features <- numeric()
for (i in seq_along(countries)) {
a <- grep(countries[i], world$NAME)
if (length(a) == 0) {
stop(paste0(countries[i],
" was not found. Check 'availableCountries()'"))
}
if (length(a) > 1) {
stop(paste0(countries[i],
" corresponds to two or more countries. Check 'availableCountries()'"))
}
features[i] <- a
}
shp <- world[features, ]
presence <- shp
presence$area <- area(presence)/1000000
native <- world[features[which(biogeo_status == "native")], ]
native$area <- area(native)/1000000
alien <- world[features[which(biogeo_status == "alien")], ]
alien$area <- area(alien)/1000000
range_list <- list(presence, native, alien)
names(range_list) <- c("Presence", "Native", "Alien")
return(range_list)
}
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