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#' Download spatial data of Brazilian states
#'
#' @description
#' Brazilian states
#'
#' @template year
#' @template code_state
#' @template simplified
#' @template output
#' @template showProgress
#' @template cache
#' @template verbose
#'
#' @return An `"sf" "data.frame"` OR an `ArrowObject`
#'
#' @export
#' @family area functions
#'
#' @examplesIf identical(tolower(Sys.getenv("NOT_CRAN")), "true")
#' # Read all states at a given year
#' ufs <- read_state(code_state="all", year = 2025)
#'
#' # Read specific state at a given year
#' uf <- read_state(code_state="SC", year = 2025)
#'
#' # Read specific state at a given year
#' uf <- read_state(code_state=12, year = 2025)
#'
read_state <- function(year = NULL,
code_state = "all",
simplified = TRUE,
output = "sf",
showProgress = TRUE,
cache = TRUE,
verbose = TRUE){
# Get metadata with data url addresses
temp_meta <- select_metadata(
geography="states",
year = year,
simplified = simplified,
verbose = verbose
)
# check if metadata download failed
if (is.null(temp_meta)) { return(invisible(NULL)) } # nocov
# download files
temp_arrw <- download_parquet(
filename_to_download = temp_meta$file_name,
showProgress,
cache
)
# check if download failed
if (is.null(temp_arrw)) { return(invisible(NULL)) } # nocov
# FILTER
temp_arrw <- filter_arrw(temp_arrw, code = code_state)
# convert to sf
temp <- convert_output(temp_arrw, output)
return(temp)
}
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