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. 2013 Nov 7;1:e193. doi: 10.7717/peerj.193

Table 1. Characteristics of models used to estimate air pollution exposures.

Project Areas Air pollution sampling description Pollutants R 2 RMSE Associated publications
ESCAPE GINI/LISA South 20 sites (PM)/40 (NO2) in Munich, Augsburg and small nearby towns sampled for three two-week intervals between 10.2008 and 11.2009 NO2 0.86 5.5 (Beelen et al., 2013; Cyrys et al., 2012)
PM2.5 mass 0.78 1.0 (Eeftens et al., 2012a; Eeftens et al., 2012b)
PM2.5 absorbance 0.91 0.2
GINI/LISA North 20 sites (PM)/40 (NO2) in Dortmund, Duisburg, Essen and smaller towns sampled for three two-week intervals between 10.2008 and 10.2009 NO2 0.89 4.3 (Beelen et al., 2013; Cyrys et al., 2012)
PM2.5 mass 0.88 0.9 (Eeftens et al., 2012a; Eeftens et al., 2012b)
PM2.5 absorbance 0.97 0.1
TRAPCA LISA East 30 sites sampled for four two-week intervals between 04.2004 and 03.2005 NO2 0.81 2.7 -
PM2.5 mass 0.55 0.1 -
APMoSPHERE GINI/LISA South
and North,
and LISA East
Air pollution data for 2001 obtained from Airbase (air quality database from routine air pollution monitoring covering 15 European member states; resolution 1 × 1 km) Ozone 0.70 7.7 (Beelen et al., 2009)

Notes.

R2
Model explained variance
RMSE
Root-mean standard errors