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spmodel: Spatial statistical modeling and prediction in
Michael Dumelle1, Matt Higham2, Jay M Ver Hoef3
1United States Environmental Protection Agency, Corvallis, Oregon, United States of America.
Abstract:
spmodel is an 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.
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