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Spatio-Temporal Modelling and Adaptive Sampling

In: Bayesian Compendium

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  • Marcel van Oijen

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 $$z(s,t)$$.

Suggested Citation

  • Marcel van Oijen, 2020. "Spatio-Temporal Modelling and Adaptive Sampling," Springer Books, in: Bayesian Compendium, chapter 0, pages 169-172, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-55897-0_23
    DOI: 10.1007/978-3-030-55897-0_23
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