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#'@title Get pollutant
#'
#' @description Retrieve Pollutant Data from EEA Vocabulary (https://dd.eionet.europa.eu/vocabulary/aq/pollutant)
#' Downloads and processes pollutant data from the EEA (European Environment Agency) vocabulary database.
#' The data includes relevant information such as pollutant names, codes, and descriptions.
#'
#' @return A tibble containing pollutant information with selected columns (e.g., URI, notation, and extracted code).
#'
get_pollutants<- function() {
`%>%` <- dplyr::`%>%`
# Check internet connection
if (!curl::has_internet()) {
stop("Please check your internet connection. If the problem persists, please contact the package maintainer.")
}
url <- "https://dd.eionet.europa.eu/vocabulary/aq/pollutant/csv"
# Scarica il file in una directory temporanea
temp_file <- tempfile(fileext = ".csv")
on.exit(unlink(temp_file), add = TRUE)
curl::curl_download(url, temp_file)
pollutant <- readr::read_csv(temp_file, col_types = readr::cols(.default = readr::col_character()), name_repair = "minimal") %>% dplyr::select(1:6)
pollutant <- pollutant %>% dplyr::mutate(Code = stringr::str_extract(.data$URI, "\\d+$"))
pollutant <- pollutant %>% dplyr::mutate(RecommendedUnit = stringr::str_trim(stringr::str_extract(.data$Definition, "(?<=recommended unit:).*")))
return(pollutant)
}
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