Leveraging Google Place of Interest (POI) Data, Crowdsourcing, and Machine Learning to Predict Urban NO2 Concentrations for the Contiguous U.S.

Background: Land Use Regression (LUR) has been extensively applied to model intra-urban variations of air quality across the US. Predictor variables are typically derived from government sources (e...