spmodel is an [Formula: 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.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997982 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0282524 | PLOS |
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