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#' Download spatial data of urbanized areas in Brazil
#'
#' @description
#' This function reads the official data on the urban footprint of Brazilian cities
#' in the years 2005 and 2015. Original data were generated by the 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}
#'
#' @param year Numeric. Year of the data in YYYY format. Defaults to `2015`.
#' @param code_state The two-digit code of a state or a two-letter uppercase
#' abbreviation (e.g. 33 or "RJ"). If `code_state="all"` (the
#' default), the function downloads all states.
#' @template simplified
#' @template showProgress
#' @template cache
#'
#'
#' @return An `"sf" "data.frame"` object
#'
#' @export
#' @family area functions
#'
#' @examplesIf identical(tolower(Sys.getenv("NOT_CRAN")), "true")
#' # Read urban footprint of Brazilian cities in an specific year
#' d <- read_urban_area(year=2005)
#'
read_urban_area <- function(year = 2015,
code_state = "all",
simplified = TRUE,
showProgress = TRUE,
cache = TRUE){
# Get metadata with data url addresses
temp_meta <- select_metadata(geography="urban_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 = file_url,
showProgress = showProgress,
cache = cache)
# check if download failed
if (is.null(temp_sf)) { return(invisible(NULL)) }
# filter state
temp_sf <- filter_state(temp_sf, code = code_state)
return(temp_sf)
}
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