R/gridDE.R

In markusfritsch/smoothLUR: Functions and data for smooth Land Use Regression Modeling

#' Grid data for Germany on land use, population density, and road lengths
#'
#' Data on land use, population density, and road lengths for different
#' types of roads employed in \insertCite{Fritsch2021smooth;textual}{smoothLUR}.
#' The dataset represents Germany on a 1\,x\,1\,km grid and contains
#' 23 variables for 356,793 grid cells, which characterize the area
#' covered by the grid cells. Details on the data sources and how the
#' data were obtained are provided in
#' \insertCite{Fritsch2021diB;textual}{smoothLUR}.
#'
#' The data given for each grid cell include longitude, latitude, and
#' altitude. Additional information which characterizes the area
#' covered by the grid cells is given via fractions of various land
#' cover classes, population density, and the length of the road
#' traffic network.
#'
#' @name gridDE
#'
#' @docType data
#'
#' @usage data(gridDE)
#'
#' @format A dataset with 356793 rows and 23 variables containing:
#' \describe{
#' \item{ID}{grid cell identifier}
#' \item{Lon.GK3}{geocoordinate longitude (Gauss-Kr\"uger) at which
#'    the monitoring site is located}
#' \item{Lat.GK3}{geocoordinate latitude (Gauss-Kr\"uger) at which
#'    the monitoring site is located}
#' \item{Lon.WGS84}{geocoordinate longitude (decimal degrees) at which
#'    the monitoring site is located}
#' \item{Lat.WGS84}{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{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{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(gridDE, package = "smoothLUR")
#'   pol <- gridDE$FedAuto
#'   typ <- as.factor(gridDE$IndRegions)
#'   \donttest{plot(y = pol, x = typ)}
#' }
#'
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