Efficient inference of generalized spatial fusion models with flexible specification

Abstract

In spatial statistics, data are often collected at different spatial resolutions. Often, it is of interest to (a) carry out multivariate analysis when variables are sampled at different locations, (b) model data collected at misaligned areas, or (c) unravel common latent factors by jointly modelling point and areal data. In this paper, we establish a linkage between the generalized spatial fusion model framework and the various change‐of‐support problems, and we outline how the framework can be adapted in these situations. Moreover, w Show more