spmodel: Spatial statistical modeling and prediction in R

Michael Dumelle, Matt Higham and Jay M Ver Hoef

PLOS ONE, 2023, vol. 18, issue 3, 1-32

Abstract: spmodel is an R package used to fit, summarize, and predict for a variety spatial statistical models applied to point-referenced or areal (lattice) data. Parameters are estimated using various methods, including likelihood-based optimization and weighted least squares based on variograms. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0282524

DOI: 10.1371/journal.pone.0282524

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