A data science approach for spatiotemporal modelling of low and resident air pollution in Madrid (Spain): Implications for epidemiological studies

Álvaro Gómez-Losada, Francisca M. Santos, Karina Gibert, José Carlos M. Pires. A data science approach for spatiotemporal modelling of low and resident air pollution in Madrid (Spain): Implications for epidemiological studies. Computers, Environment and Urban Systems, 75:1-11, 2019. [doi]

Abstract

Abstract is missing.