snapKrig: Fast Kriging and Geostatistics on Grids with Kronecker Covariance

Geostatistical modeling and kriging with gridded data using spatially separable covariance functions (Kronecker covariances). Kronecker products in these models provide shortcuts for solving large matrix problems in likelihood and conditional mean, making 'snapKrig' computationally efficient with large grids. The package supplies its own S3 grid object class, and a host of methods including plot, print, Ops, square bracket replace/assign, and more. Our computational methods are described in Koch, Lele, Lewis (2020) <doi:10.7939/r3-g6qb-bq70>.

Version: 0.0.2
Imports: graphics, grDevices, methods, stats, utils
Suggests: knitr, rmarkdown, terra, raster, sf, units, sp
Published: 2023-05-06
Author: Dean Koch ORCID iD [aut, cre, cph]
Maintainer: Dean Koch <dkoch at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: snapKrig results


Reference manual: snapKrig.pdf
Vignettes: Introduction to snapKrig


Package source: snapKrig_0.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): snapKrig_0.0.2.tgz, r-oldrel (arm64): snapKrig_0.0.2.tgz, r-release (x86_64): snapKrig_0.0.2.tgz, r-oldrel (x86_64): snapKrig_0.0.2.tgz
Old sources: snapKrig archive


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