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 ualberta.ca>
BugReports: https://github.com/deankoch/snapKrig/issues
License: MIT + file LICENSE
URL: https://github.com/deankoch/snapKrig
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: snapKrig results

Documentation:

Reference manual: snapKrig.pdf
Vignettes: Introduction to snapKrig

Downloads:

Package source: snapKrig_0.0.2.tar.gz
Windows binaries: r-devel: snapKrig_0.0.2.zip, r-release: snapKrig_0.0.2.zip, r-oldrel: snapKrig_0.0.2.zip
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
Old sources: snapKrig archive

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