Bayesian Thinking in Spatial Statistics [chapter]

Lance A. Waller
2005 Handbook of Statistics  
In the sections below we review basic motivations for spatial statistical analysis, review three general categories of data structure and associated inferential questions, and describe Bayesian methods for achieving inference. Our goal is to highlight similarities across spatial analytic methods, particularly with regards to how hierarchical probability structures often link approaches developed in one area of spatial analysis to components within other areas. By choosing to highlight
more » ... es, we focus on general concepts in spatial inference, and often defer details of several interesting and current threads of development to the relevant literature. We conclude with a listing of some of these developing areas of interest and references for further reading.
doi:10.1016/s0169-7161(05)25020-4 fatcat:bxy4vl2kxrguvaup7men2d7mcy