monSitesDE: Average NO2 pollution level data for German monitoring sites

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

Average NO2 pollution level data for German monitoring sites

Description

Data on average NO2 pollution levels for German monitoring sites for 2015 used in \insertCiteFritsch2021smooth;textualsmoothLUR. 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 \insertCiteFritsch2021diB;textualsmoothLUR.

Usage

data(monSitesDE)

Format

A dataset with 403 rows and 25 variables containing:

AQeCode

code of monitoring site as in AirBase

Y

mean NO2 concentration level

Year

year

Projection

coordinate reference system of the geocoordinates longitude (AQeLon) and latitude (AQeLat)

Lon

geocoordinate longitude (decimal degrees) at which the monitoring site is located

Lat

geocoordinate latitude (decimal degrees) at which the monitoring site is located

Alt

altitude (meter above sea level) at which the monitoring site is located

AQeType

type of monitoring site - information whether it is measuring background, industrial, or traffic related air pollution

AQeArea

area of monitoring site - information whether it is measuring air pollution in urban, suburban, rural, etc. environment

HighDens

proportion of high density residential area within a buffer of radius 1km around the monitoring site

LowDens

proportion of low density residential area within a buffer of radius 1km around the monitoring site

Ind

proportion of industrial area within a buffer of radius 1km around the monitoring site

Transp

proportion of area attributed to transport within a buffer of radius 1km around the monitoring site

Seap

proportion of area attributed to seaport within a buffer of radius 1km around the monitoring site

Airp

proportion of area attributed to airport within a buffer of radius 1km around the monitoring site

Constr

proportion of area attributed to construction within a buffer of radius 1km around the monitoring site

UrbGreen

proportion of area attributed to urban green spaces within a buffer of radius 1km around the monitoring site

Agri

proportion of agricultural area within a buffer of radius 1km around the monitoring site

Forest

proportion of forestry area within a buffer of radius 1km around the monitoring site

PopDens

population density (inhabitants per km^2) at municipality key level

PriRoad

primary roads (length in meter) within buffer of radius 1km around the monitoring site

SecRoad

secondary roads (length in meter) within buffer of radius 1km around the monitoring site

FedAuto

federal autobahn (length in meter) within buffer of radius 1km around the monitoring site

LocRoute

local routes (length in meter) within buffer of radius 1km around the monitoring site

IndRegions

German federal state in which the monitoring site is located

Details

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.

Source

European Environmental Agency: Air Quality e-Reporting

European Environmental Agency: CORINE land cover (CLC) 2015 raster data - version 18.5.1 (09/2016)

EuroGeographics: Euroglobalmap (egm), v9.0

Federal Government for Geo-Information and Geodesy, DGM200 GK3 GRID-ASCII, GeoBasis-DE / BKG 2015

Federal Government for Geo-Information and Geodesy, VG250-EW Ebenen GK3 Shape, GeoBasis-DE /BKG 2015

References

\insertAllCited

Examples

## Not run: 
  data(monSitesDE, package = "smoothLUR")
  pol <- monSitesDE$Y
  typ <- as.factor(monSitesDE$AQeType)
  \donttest{plot(y = pol, x = typ)}

## End(Not run)

markusfritsch/smoothLUR documentation built on Nov. 5, 2022, 3:42 p.m.