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Development of NO2 and NOx land use regression models for estimating air pollution exposure in 36 study areas in Europe – The ESCAPE project, , , , , , , , , and 39 other author(s). Atmospheric Environment, (2013)Development of land use regression models for PM2. 5, PM2. 5 absorbance, PM10 and PMcoarse in 20 European study areas; results of the ESCAPE project, , , , , , , , , and 1 other author(s). Environmental science & technology, 46 (20): 11195--11205 (2012)Spatial variation of PM2. 5, PM10, PM2. 5 absorbance and PMcoarse concentrations between and within 20 European study areas and the relationship with NO2--Results of the ESCAPE project, , , , , , , , , and 1 other author(s). Atmospheric Environment, (2012)Performance of multi-city land use regression models for nitrogen dioxide and fine particles, , , , , , , , , and 1 other author(s). Environmental health perspectives, 122 (8): 843 (2014)Estimating Long-Term Average Particulate Air Pollution Concentrations: Application of Traffic Indicators and Geographic Information Systems, , , , , , , , , and 1 other author(s). Epidemiology, 14 (2): 228-239 (2003)Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model, , , , , , , , , and 5 other author(s). Environment International, (2019)