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Hierarchical spatially varying coefficient and temporal dynamic process models using spTDyn

Bakar, Khandoker (Shuvo); Kokic, Philip N.; Jin, Huidong (Warren)


Bayesian hierarchical spatio-temporal models are becoming increasingly important due to the increasing availability of space-time data in various domains. In this paper we develop a user friendly R package, spTDyn, for spatio-temporal modelling. It can be used to fit models with spatially varying and temporally dynamic coefficients. The former is used for modelling the spatially varying impact of explanatory variables on the response caused by spatial misalignment. This issue can arise when the...[Show more]

CollectionsANU Research Publications
Date published: 2016
Type: Journal article
Source: Journal of Statistical Computation and Simulation
DOI: 10.1080/00949655.2015.1038267


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