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#' Retrieve US map data
#'
#' @param regions The region breakdown for the map, can be one of
#' (\code{"states"}, \code{"state"}, \code{"counties"}, \code{"county"}).
#' 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 FIPS code.
#' For counties, the FIPS must be provided as there can be multiple counties with the
#' same name. If states are provided in the county map, only counties in the included states
#' will be returned.
#' @param exclude The 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 FIPS code.
#' For counties, the FIPS must be provided as there can be multiple counties with the
#' same name. 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.
#' @param data_year The year for which to obtain map data. If the value is NULL,
#' the most recent year's data is used. If the provided year is not found from
#' the available map data sets, the next most recent year's data is used.
#' This can be used if an older data set is being plotted on the US map so that
#' the data matches the map more accurately. Therefore, the provided value should
#' match the year of the plotted data set. The default is NULL, i.e. the most
#' recent available year is used.
#'
#' @seealso [usmapdata::us_map()] of which this function is a wrapper for.
#'
#' @return A data frame of US map coordinates divided by the desired \code{regions}.
#'
#' @examples
#' str(us_map())
#'
#' df <- us_map(regions = "counties")
#' west_coast <- us_map(include = c("CA", "OR", "WA"))
#'
#' south_atl_excl_FL <- us_map(include = .south_atlantic, exclude = "FL")
#' @export
us_map <- function(
regions = c("states", "state", "counties", "county"),
include = c(),
exclude = c(),
data_year = NULL
) {
usmapdata::us_map(
regions = regions,
include = include,
exclude = exclude,
data_year = data_year
)
}
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