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- Title
spmodel: Spatial statistical modeling and prediction in R.
- Authors
Dumelle, Michael; Higham, Matt; Ver Hoef, Jay M.
- 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.
- Subjects
STATISTICAL models; PREDICTION models; LEAST squares; BIG data; STATISTICS; ANISOTROPY; VARIOGRAMS
- Publication
PLoS ONE, 2023, Vol 17, Issue 3, p1
- ISSN
1932-6203
- Publication type
Article
- DOI
10.1371/journal.pone.0282524