#' Average NO2 pollution level data for German monitoring sites
#'
#' Data on average NO2 pollution levels for German monitoring sites
#' for 2015 used in \insertCite{Fritsch2021smooth;textual}{smoothLUR}.
#' The dataset contains NO2 pollution concentration levels recorded
#' at 403 monitoring sites and meta-data on the location and the
#' area surrounding the monitoring sites. Details on the data
#' sources and how the data were obtained are provided in
#' \insertCite{Fritsch2021diB;textual}{smoothLUR}.
#'
#' The meta-data on the location include longitude, latitude, and
#' altitude. The surrounding area is characterized by computing
#' the fractions of various land cover classes, population density,
#' and the length of the road traffic network.
#'
#' @name monSitesDE
#'
#' @docType data
#'
#' @usage data(monSitesDE)
#'
#' @format A dataset with 403 rows and 25 variables containing:
#' \describe{
#' \item{AQeCode}{code of monitoring site as in AirBase}
#' \item{Y}{mean NO2 concentration level}
#' \item{Year}{year}
#' \item{Projection}{coordinate reference system of the
#' geocoordinates longitude (AQeLon) and latitude (AQeLat)}
#' \item{Lon}{geocoordinate longitude (decimal degrees) at which
#' the monitoring site is located}
#' \item{Lat}{geocoordinate latitude (decimal degrees) at which
#' the monitoring site is located}
#' \item{Alt}{altitude (meter above sea level) at which the
#' monitoring site is located}
#' \item{AQeType}{type of monitoring site - information whether
#' it is measuring background, industrial, or traffic related
#' air pollution}
#' \item{AQeArea}{area of monitoring site - information whether
#' it is measuring air pollution in urban, suburban, rural, etc.
#' environment}
#' \item{HighDens}{proportion of high density residential area
#' within a buffer of radius 1km around the monitoring site}
#' \item{LowDens}{proportion of low density residential area
#' within a buffer of radius 1km around the monitoring site}
#' \item{Ind}{proportion of industrial area within a buffer of
#' radius 1km around the monitoring site}
#' \item{Transp}{proportion of area attributed to transport within
#' a buffer of radius 1km around the monitoring site}
#' \item{Seap}{proportion of area attributed to seaport within a
#' buffer of radius 1km around the monitoring site}
#' \item{Airp}{proportion of area attributed to airport within a
#' buffer of radius 1km around the monitoring site}
#' \item{Constr}{proportion of area attributed to construction
#' within a buffer of radius 1km around the monitoring site}
#' \item{UrbGreen}{proportion of area attributed to urban green
#' spaces within a buffer of radius 1km around the monitoring
#' site}
#' \item{Agri}{proportion of agricultural area within a buffer of
#' radius 1km around the monitoring site}
#' \item{Forest}{proportion of forestry area within a buffer of
#' radius 1km around the monitoring site}
#' \item{PopDens}{population density (inhabitants per km^2) at
#' municipality key level}
#' \item{PriRoad}{primary roads (length in meter) within buffer of
#' radius 1km around the monitoring site}
#' \item{SecRoad}{secondary roads (length in meter) within buffer
#' of radius 1km around the monitoring site}
#' \item{FedAuto}{federal autobahn (length in meter) within buffer
#' of radius 1km around the monitoring site}
#' \item{LocRoute}{local routes (length in meter) within buffer of
#' radius 1km around the monitoring site}
#' \item{IndRegions}{German federal state in which the monitoring
#' site is located}
#' }
#'
#' @keywords datasets
#'
#' @references
#' \insertAllCited{}
#'
#' @source \href{b21a537e763e4ad9ac8ccffe987d6f77}{European Environmental Agency: Air Quality e-Reporting}
#' @source \href{http://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/view}{European Environmental Agency: CORINE land cover (CLC) 2015 raster data - version 18.5.1 (09/2016)}
#' @source \href{https://eurogeographics.org/maps-for-europe/open-data/}{EuroGeographics: Euroglobalmap (egm), v9.0}
#' @source \href{https://gdz.bkg.bund.de/index.php/default/digitale-geodaten.html}{Federal Government for Geo-Information and Geodesy, DGM200 GK3 GRID-ASCII, GeoBasis-DE / BKG 2015}
#' @source \href{https://gdz.bkg.bund.de/index.php/default/digitale-geodaten.html}{Federal Government for Geo-Information and Geodesy, VG250-EW Ebenen GK3 Shape, GeoBasis-DE /BKG 2015}
#'
#' @examples
#' \dontrun{
#' data(monSitesDE, package = "smoothLUR")
#' pol <- monSitesDE$Y
#' typ <- as.factor(monSitesDE$AQeType)
#' \donttest{plot(y = pol, x = typ)}
#' }
#'
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