Fast Kriging and Geostatistics on Grids with Kronecker Covariance R package snapKrig version 0.0.3 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>. Software Depends: R (>= 4.1.0) Imports: graphics, grDevices, methods, stats, utils Suggests: knitr, rmarkdown, terra, raster, sf, units, sp, testthat (>= 3.0.0) Dean Koch <deankoch@gmail.com> Comprehensive R Archive Network (CRAN) Dean Koch [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-8849-859X>) MIT + file LICENSE (https://CRAN.R-project.org/package=snapKrig/LICENSE) 2026-07-04 application/tgz https://CRAN.R-project.org/package=snapKrig doi:10.32614/CRAN.package.snapKrig en-US