#' Get metadata about NOAA location categories.
#'
#' Location categories are groupings of similar locations.
#'
#' Locations can be a specific latitude/longitude point such as a station, or a
#' label representing a bounding area such as a city.
#'
#' @export
#'
#' @template location
#' @template token
#' @return A list containing metadata and the data, or a single data.frame.
#' @family ncdc
#' @references \url{https://www.ncdc.noaa.gov/cdo-web/webservices/v2}
#' @examples \dontrun{
#' # All location categories, first 25 results
#' ncdc_locs_cats()
#'
#' # Find locations with category id of CLIM_REG
#' ncdc_locs_cats(locationcategoryid='CLIM_REG')
#'
#' # Displays available location categories within GHCN-Daily dataset
#' ncdc_locs_cats(datasetid='GHCND')
#' ncdc_locs_cats(datasetid='GSOY')
#' ncdc_locs_cats(datasetid='ANNUAL')
#'
#' # multiple datasetid's
#' ncdc_locs_cats(datasetid=c('GHCND', 'GSOM'))
#'
#' # Displays available location categories from start date 1970-01-01
#' ncdc_locs_cats(startdate='1970-01-01')
#' }
ncdc_locs_cats <- function(datasetid=NULL, locationcategoryid=NULL,
startdate=NULL, enddate=NULL, sortfield=NULL, sortorder=NULL,
limit=25, offset=NULL, token=NULL, ...)
{
token <- check_key(token)
url <- paste0(ncdc_base(), "locationcategories")
if (!is.null(locationcategoryid))
url <- paste(url, "/", locationcategoryid, sep = "")
args <- noaa_compact(list(locationcategoryid=locationcategoryid,
startdate=startdate, enddate=enddate,token=token,sortfield=sortfield,
sortorder=sortorder,limit=limit,offset=offset))
if (!is.null(datasetid)) {
datasetid <- lapply(datasetid, function(x) list(datasetid = x))
}
args <- c(args, datasetid)
args <- as.list(unlist(args))
if (length(args) == 0) args <- NULL
temp <- GET(url, query = args, add_headers("token" = token), ...)
tt <- check_response(temp)
if (inherits(tt, "character")) {
all <- list(meta = NULL, data = NULL)
} else {
if (!is.null(locationcategoryid)) {
dat <- data.frame(tt, stringsAsFactors = FALSE)
all <- list(meta = NULL, data = dat)
} else {
dat <- dplyr::bind_rows(lapply(tt$results, function(x) data.frame(x,stringsAsFactors = FALSE)))
meta <- tt$metadata$resultset
atts <- list(totalCount = meta$count, pageCount = meta$limit, offset = meta$offset)
all <- list(meta = atts, data = dat)
}
}
class(all) <- "ncdc_locs_cats"
return( all )
}
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