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spmodel: Spatial statistical modeling and prediction in [Image: see text]

spmodel is an [Image: see text] 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 variog...

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Detalles Bibliográficos
Autores principales: Dumelle, Michael, Higham, Matt, Ver Hoef, Jay M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997982/
https://www.ncbi.nlm.nih.gov/pubmed/36893090
http://dx.doi.org/10.1371/journal.pone.0282524
Descripción
Sumario:spmodel is an [Image: see text] 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.