Hierarchical spatially varying coefficient and temporal dynamic process models using spTDyn
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 covariates only vary over time, or when they are...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Statistical Computation and Simulation|
|01_Bakar_Hierarchical_spatially_varying_2015.pdf||683.62 kB||Adobe PDF||Request a copy|
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