spmodel-package

spmodel: Spatial Statistical Modeling and Prediction

Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. 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. For additional details, see Dumelle et al. (2023) tools:::Rd_expr_doi("10.1371/journal.pone.0282524") . package

See Also

Useful links:

• https://usepa.github.io/spmodel/
• Report bugs at https://github.com/USEPA/spmodel/issues

Author(s)

Maintainer : Michael Dumelle Dumelle.Michael@epa.gov (ORCID)

Authors:

• Matt Higham mhigham@stlawu.edu (ORCID)
• Jay M. Ver Hoef jay.verhoef@noaa.gov (ORCID)

Other contributors:

• Ryan A. Hill hill.ryan@epa.gov (ORCID) [contributor]
• Michael Mahon Mahon.Michael@epa.gov (ORCID) [contributor]