Abstract
Spatial-temporal patterns of atmospheric particulate matter (PM) are known to be an important factor to predict some poor health outcomes of inhabitants in a urban area. In general, the number of monitoring centers measuring PM in a certain region is less than what is needed to reach the appropriate resolution. Statistical models for data such as Aerosol Optical Depth (AOD) and Land-Use …