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#' Retrieve Indian mapping data
#'
#' @param regions The region breakdown for the map, can be one of
#' (\code{"states"}, \code{"state"}, \code{"districts"}, \code{"district"}).
#' The default is \code{"states"}.
#' @param include The regions to include in the resulting map. If \code{regions} is
#' \code{"states"}/\code{"state"}, the value can be either a state name, abbreviation or code.
#' If states are provided in the district map, only ditricts in the included states
#' will be returned.
#' @param exclude he regions to exclude in the resulting map. If \code{regions} is
#' \code{"states"}/\code{"state"}, the value can be either a state name, abbreviation or code.
#' The regions listed in the \code{include} parameter are applied first and the
#' \code{exclude} regions are then removed from the resulting map. Any excluded regions
#' not present in the included regions will be ignored.
#'
#' @return An `sf` data frame of indian map coordinates divided by the desired \code{regions}.
#' @importFrom rlang arg_match
#' @export
#'
#' @examples
#' str(map_india())
#'
#' df <- map_india(regions = "districts")
#'
#' include_states <- map_india(include = c("WB", "NL", "AP"))
#'
#' exclude_states <- map_india(exclude = c("WB", "NL", "AP"))
map_india <- function(
regions = c("states", "state", "districts", "district"),
include = c(),
exclude = c()) {
regions <- rlang::arg_match(regions)
if (regions %in% c("state", "states")) {
df <- india_states
} else if (regions %in% c("district", "districts")) {
df <- india_districts
}
if (length(include) > 0) {
df <- df[df$stname %in% include |
df$abbr %in% include |
df$code11 %in% include, ]
}
if (length(exclude) > 0) {
df <- df[!(df$stname %in% exclude |
df$abbr %in% exclude |
df$code11 %in% exclude), ]
}
# Drop geometry temporarily to perform sorting
df_no_geom <- sf::st_drop_geometry(df)
df_ordered <- df_no_geom[order(df_no_geom$abbr), ]
df[order(df$abbr), ]
}
#' Retrieve centroid labels
#'
#' @param regions The region breakdown for the map, can be one of
#' (\code{"states"}, \code{"districts"}, as specified by the internal file names.
#' The default is \code{"states"}.
#'
#' @return An `sf` data frame of state or district centroid labels and positions
#' relative to the coordinates returned by the \code{map_india} function.
#'
#' @export
centroid_labels <- function(
regions = c("states", "districts")
) {
regions <- rlang::arg_match(regions)
if (regions == "states") {
india_states_centroids
} else if (regions == "districts") {
india_districts_centroids
}
}
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