#' workhorse function to get species lists from an atlas
#' @keywords Internal
#' @noRd
collect_species <- function(.query, file = NULL){
if(is_gbif()){
collect_occurrences(.query, wait = TRUE)
}else{
.query$file <- check_download_filename(file, ext = "csv")
query_API(.query)
readr::read_csv(.query$file,
col_names = get_clean_colnames(.query$file,
facet = .query$group_by$name),
col_types = readr::cols(),
skip = 1)
}
}
#' Internal function to get column names cleanly
#' @keywords Internal
#' @noRd
get_clean_colnames <- function(file, facet){
column_names <- scan(file,
what = character(),
sep = ",",
nlines = 1L,
quiet = TRUE)
if(length(column_names) > 0){
column_names <- camel_to_snake_case(column_names)
if(grepl("ID$", facet)){
column_names[1] <- "taxon_concept_id"
}
column_names[column_names %in% c("counts", "number_of_records")] <- "count"
column_names
}else{
TRUE
}
}
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