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Quantification of Annual Settlement Growth in Rural Mining Areas Using Machine Learning., , , and . Remote Sensing, 12 (2): 235 (2020)Comparative assessment of GIS-based methods and metrics for estimating long-term exposures to air pollution, , , , and . Atmospheric Environment, 45 (39): 7072 - 7080 (2011)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)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)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)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)Integrating statistical and agent-based modelling for activity-based ambient air pollution exposure assessment., , , , , and . Environ. Model. Softw., (2022)OP III – 50.25emLand use regression modelling of outdoor no2 and pm2.5 concentrations in three low-income areas of the urban western cape, south africa, , , , , , , , , and 4 other author(s). Exposure assessment, BMJ Publishing Group Ltd, (March 2018)A hybrid air pollution/land use regression model for predicting air pollution concentrations in Durban, South Africa, , , , , , and . Environmental Pollution, (2021)Land use regression models for estimating individual NOx and NO2 exposures in a metropolis with a high density of traffic roads and population, , , , , , and . Science of the Total Environment, (2014)