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spmodel: Spatial modeling in R

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  • Overview
Fit, summarize, and predict for a variety of spatial statistical models.  Parameters of spatial linear models are estimated using a variety of methods.   Additional modeling features include anisotropy, 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.

Impact/Purpose

This poster will promote and provide resources for how to use spmodel, a new R package for spatial statistical models.

Citation

Dumelle, M. spmodel: Spatial modeling in R. 2022 ENVR Workshop: Environmental and Ecological Statistical Research and Applications with Societal Impacts, Provo, UT, October 06 - 08, 2022.
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Last updated on October 28, 2022
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