geostatsp: Geostatistical Modelling with Likelihood and Bayes

Geostatistical modelling facilities using 'Raster' and 'SpatialPoints' 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>.

Version: 1.8.6
Depends: Matrix (≥ 1.2.0), raster, sp, R (≥ 3.5.0)
Imports: abind, numDeriv, methods, stats
LinkingTo: Matrix
Suggests: RandomFields (≥ 3.3.4), rgdal, parallel, mapmisc, ellipse, pracma, knitr
Enhances: INLA, diseasemapping, geoR, rgeos, mvtnorm
Published: 2021-10-05
Author: Patrick Brown[aut, cre], Robert Hijmans [ctb]
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_1.8.6.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): geostatsp_1.8.6.tgz, r-release (x86_64): geostatsp_1.8.6.tgz, r-oldrel: geostatsp_1.8.6.tgz
Old sources: geostatsp archive

Reverse dependencies:

Reverse suggests: diseasemapping


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