R/read_metro_area.R

Defines functions read_metro_area

Documented in read_metro_area

#' Download spatial data of official metropolitan areas in Brazil
#'
#' @description
#' The function returns the shapes of municipalities grouped by their respective
#' metro areas. Metropolitan areas are created by each state in Brazil. The data
#' set includes the municipalities that belong to all metropolitan areas in the
#' country according to state legislation in each year. Original data were
#' generated by Institute of Geography. Data at scale 1:250,000, using Geodetic
#' reference system "SIRGAS2000" and CRS(4674).
#'
#' @param year Numeric. Year of the data in YYYY format. Defaults to `2018`.
#' @template simplified
#' @template showProgress
#'
#' @return An `"sf" "data.frame"` object
#'
#' @export
#' @family area functions
#'
#' @examplesIf identical(tolower(Sys.getenv("NOT_CRAN")), "true")
#' # Read all official metropolitan areas for a given year
#'   m <- read_metro_area(2005)
#'
#'   m <- read_metro_area(2018)
#'
read_metro_area <- function(year=2018, simplified=TRUE, showProgress=TRUE){

  # Get metadata with data url addresses
  temp_meta <- select_metadata(geography="metropolitan_area", year=year, simplified=simplified)

  # list paths of files to download
  file_url <- as.character(temp_meta$download_path)

  # download files
  temp_sf <- download_gpkg(file_url, progress_bar = showProgress)

  # check if download failed
  if (is.null(temp_sf)) { return(invisible(NULL)) }

  return(temp_sf)
}

Try the geobr package in your browser

Any scripts or data that you put into this service are public.

geobr documentation built on Sept. 21, 2023, 9:07 a.m.