Using temporal variability to improve spatial mapping with application to satellite data

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Bayesian Inference for the Spatial Random Effects Model (2011, methodology): “The data we extracted from the study by Kang, Cressie, and Shi (2010) is a spatial dataset of detrended level-3 log(AOD) values observed between August 2–9, 2001, within a study region D between longitudes −125◦ and +3◦ and between latitudes −20◦ and +44◦.”
Hierarchical statistical modeling of big spatial datasets using the exponential family of distributions (2013, methodology): “After some initial exploratory data analysis considering the covariates used in Kang et al. (2010), we selected the covariates in (56) to be the indicator functions for each of the Americas, Africa (the Sahara desert), the south-western tip of Europe(Iberian Peninsular), and oceans; and we also…”