Data for: Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing

Published: 26-04-2021| Version 1 | DOI: 10.17632/2w5htc6zg6.1
Jan Verwaeren


The file land_use_features_BC.csv is csv-file containing the features used for building the land use regression model at each Point Of Interest (POI), as well as the alpha-trimmed mean (background corrected) black carbon concentrations at that POI. Note that the background has been subtracted, so if an estimate of the 'true' mean BC concentration is needed, 2.3 µg/m³ should be added to these values. ** Import data into R-software using the following instruction: theData = read.table("land_use_features_BC.csv", sep=",", header=TRUE) ** description of variables: - each row represents one point of interest (POI) - description of variables: - POI_number: reference number - BC_concentration_background_corrected: background corrected black carbon concentration at that POI. Reported values are alpha-trimmed means that are backgrond-corrected (see paper) - geometry_lambert_coordinates: Geospatial coordinates of the POIs (using the Lambert 72 coordinate system) - distance_motorway: distance (m) of POI to nearest motorway - nr_houses_100m: number of houses within a radius of 100m around the POI - ..