Spatio-Temporal Modelling and Adaptive Sampling

Marcel van Oijen ()

Chapter Chapter 23 in Bayesian Compendium, 2020, pp 169-172 from Springer

Abstract: Abstract The previous chapter showed the similarity of models for time series and for spatial variation. So we should not expect that spatio-temporal modellingSpatio-temporal modelling adds any completely new algorithms. Spatio-temporal modellingSpatio-temporal modelling aims to estimate the changes over time of a spatially distributed dynamic system. We could actually use pure time series models $$z(t)$$ or spatial models $$z(s)$$ to achieve that, by defining $$z$$ as location or time, respectively. But the term ‘spatio-temporal modelling’ usually refers to models where the state variable $$z$$ changes as a function of both spatial and temporal coordinates, and is written as $$z(s,t)$$.

Date: 2020
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DOI: 10.1007/978-3-030-55897-0_23

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