geostatsp: Geostatistical Modelling with Likelihood and Bayes

Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is available at <>.

Version: 2.0.6
Depends: Matrix, terra, R (≥ 3.5.0)
Imports: abind, numDeriv, methods, stats
LinkingTo: Matrix (≥ 1.6-2)
Suggests: RandomFields, parallel, mapmisc, ellipse, pracma, knitr
Enhances: INLA, diseasemapping, geoR, mvtnorm
Published: 2024-02-20
DOI: 10.32614/CRAN.package.geostatsp
Author: Patrick Brown [aut, cre, cph]
Maintainer: Patrick Brown <patrick.brown at>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: yes
Citation: geostatsp citation info
CRAN checks: geostatsp results


Reference manual: geostatsp.pdf
Vignettes: Various GLGM examples
LGCP with PC priors


Package source: geostatsp_2.0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geostatsp_2.0.6.tgz, r-oldrel (arm64): geostatsp_2.0.6.tgz, r-release (x86_64): geostatsp_2.0.6.tgz, r-oldrel (x86_64): geostatsp_2.0.6.tgz
Old sources: geostatsp archive


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