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#' Download spatial data of IBGE's statistical grid
#'
#' @description
#' Official gridded population estimate of Brazil.
#'
#' @template year
#' @template code_muni
#' @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 the grid covering a given state at a given year
#' grid_rio <- read_statistical_grid(
#' year = 2022,
#' code_muni = "RJ"
#' )
#'
#' # Read the grid covering a given municipality at a given year
#' grid_ssalvador <- read_statistical_grid(
#' year = 2022,
#' code_muni = 2927408
#' )
#'
read_statistical_grid <- function(year,
code_muni,
output = "sf",
showProgress = TRUE,
cache = TRUE,
verbose = TRUE){
# Get metadata with data url addresses
temp_meta <- select_metadata(
geography="statsgrid",
year = year,
simplified = FALSE,
verbose = verbose
)
# check if metadata download failed
if (is.null(temp_meta)) { return(invisible(NULL)) }
# 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)) }
# FILTER
temp_arrw <- filter_arrw(temp_arrw, code = code_muni)
# convert to sf
temp <- convert_output(temp_arrw, output)
return(temp)
}
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