The choice of spatial scales and spatial smoothness priors for various spatial patterns
Kang, Su Yun, McGree, James, & Mengersen, Kerrie (2014) The choice of spatial scales and spatial smoothness priors for various spatial patterns. Spatial and Spatio-temporal Epidemiology, 10, pp. 11-26.
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Given the drawbacks for using geo-political areas in mapping outcomes unrelated to geo-politics, a compromise is to aggregate and analyse data at the grid level. This has the advantage of allowing spatial smoothing and modelling at a biologically or physically relevant scale. This article addresses two consequent issues: the choice of the spatial smoothness prior and the scale of the grid. Firstly, we describe several spatial smoothness priors applicable for grid data and discuss the contexts in which these priors can be employed based on different aims. Two such aims are considered, i.e., to identify regions with clustering and to model spatial dependence in the data. Secondly, the choice of the grid size is shown to depend largely on the spatial patterns. We present a guide on the selection of spatial scales and smoothness priors for various point patterns based on the two aims for spatial smoothing.
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|Item Type:||Journal Article|
|Keywords:||Data aggregation, Moran's I statistics, spatial clustering, spatial scales, spatial smoothing|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)|
|Divisions:||Current > QUT Faculties and Divisions > Science & Engineering Faculty
Past > Schools > Mathematical Sciences
|Copyright Owner:||Copyright 2014 Elsevier|
|Copyright Statement:||This is the author’s version of a work that was accepted for publication in Spatial and Spatio-temporal Epidemiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Spatial and Spatio-temporal Epidemiology, [VOL 10, (2014)] DOI: 10.1016/j.sste.2014.05.003|
|Deposited On:||28 Aug 2014 22:53|
|Last Modified:||08 Dec 2014 09:26|
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