R/read_urban_area.R

In geobr: Download Official Spatial Data Sets of Brazil

#' Download spatial data of urbanized areas in Brazil
#'
#' @description
#' This function reads the official data on the urban footprint of Brazilian
#' cities. Original data by the Brazilian Institute of Geography and Statistics
#' (IBGE)  For more information about the methodology, see details
#' at \url{https://biblioteca.ibge.gov.br/visualizacao/livros/liv100639.pdf}
#'
#' @template year
#' @template code_muni
#' @template simplified
#' @template output
#' @template showProgress
#' @template cache
#' @template verbose
#'
#' @return An `"sf" "data.frame"` OR an `ArrowObject`
#'
#' @export
#'
#' @examplesIf identical(tolower(Sys.getenv("NOT_CRAN")), "true")
#' # Read urban footprint of Brazilian cities in an specific year
#' d <- read_urban_area(year = 2015)
#'
read_urban_area <- function(year,
                            code_muni = "all",
                            simplified = TRUE,
                            output = "sf",
                            showProgress = TRUE,
                            cache = TRUE,
                            verbose = TRUE){

  # Get metadata
  temp_meta <- select_metadata(
    geography="urbanareas",
    year = year,
    simplified = simplified,
    verbose = verbose
  )

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

  # download file and open arrow dataset
  temp_arrw <- download_parquet(
    filename_to_download = temp_meta$file_name,
    showProgress = showProgress,
    cache = cache
  )

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

  # FILTER
  temp_arrw <- filter_arrw(temp_arrw, code = code_muni)

  # convert to sf
  temp <- convert_output(temp_arrw, output)

  return(temp)

}