A varying coefficients space-time model for ground and satellite air quality data over Europe

This paper introduces a flexible space-time data fusion model based on latent variables and varying coefficients that can be used to map air quality over large areas such as countries or continents. The model is able to handle point data from ground level monitoring networks and pixel data from remote sensing. As a case study, the model is used to dynamically map the nitrogen dioxide concentration over Europe during 2009