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Encapsulating Spatially Varying Relationships with a Generalized Additive Model

2024-11-06

Abstract excerpt

This paper describes the specification of spatially varying coefficient (SVC) regression models using Generalized Additive Models (GAMs). The GAMs include Gaussian Process (GP) splines (smooths) for each covariate parameterised with observation location and generate SVC estimates that capture spatially varying relationships. The ability of the proposed GAM approach to estimate true spatially varying coefficients w...

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Literature Corpus work
5c417498-a229-51ae-8830-48a6f03912d0
DOI
10.20944/preprints202411.0375.v1
Open publication

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Encapsulating Spatially Varying Relationships with a Generalized Additive ModelDOI 10.20944/preprints202411.0375.v1
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