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. 2019 Mar 12;6:190035. doi: 10.1038/sdata.2019.35

Table 2. Statistics of the modelled air pollution concentrations and predictor variables for 8000 house address locations in the province of Utrecht resulting from the comparison of the vector-based and raster-based modelling approaches.

Variable (units) Buffer size (m) r2 RMSE Bias
Units of RMSE and Bias are the same as the corresponding variable, their calculations according to Equations 1 and 2.
NO2 (μg m−3) n/a 0.98 1.37 1.05
NOx (μg m−3) n/a 0.98 1.9 1.13
PM2.5 (μg m−3) n/a 0.99 0.034 6.3e-3
PM2.5absorbance (10−5 m−1) n/a 0.98 0.043 2.9e-2
PM10 (μg m−3) n/a 0.99 0.041 9.2e-3
TL (vehicles day−1 m) 500 0.95 1.24e7 8.43e6
RL (m) 1000 0.99 7.81e3 6773.61
HTL (vehicles day−1 m) 25 0.93 1731.53 396.77
50 0.97 7111.19 2368.91
500 0.98 5.94e5 −3.73e5
IND (m2) 5000 1.0 7.56e4 −7859.48
HAR (m2) 5000 1.0 3151.88 −42.71
POP (inhabitants m−2) 1000 1.0 14.25 −5.57
5000 1.0 913.69 88.49
TML (vehicles day−1 m) 1000 0.99 3.89e6 1.59e6
RES (m2) 5000 0.99 2.42e5 −1.17e5
IDC (m−1) n/a 0.85 0.026 4.3e-4
IDM (m−1) n/a 0.91 4.1e-3 4.5e-5
BEO (μg m−3) n/a 1.0 0.06 −0.06
BEX (μg m−3) n/a 1.0 0.11 −0.1
BEP (μg m−3) n/a 1.0 1e-4 5e-5
BEA (10−5 m−1) n/a 1.0 4.64e-7 −7e-6