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: | 1.8.2 |
| 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: | 2020-06-24 |
| Author: | Patrick Brown[aut, cre], Robert Hijmans [ctb] |
| Maintainer: | Patrick Brown <patrick.brown at utoronto.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | yes |
| Citation: | geostatsp citation info |
| In views: | Spatial |
| CRAN checks: | geostatsp results |
| Reference manual: | geostatsp.pdf |
| Vignettes: |
Various GLGM examples LGCP with PC priors |
| Package source: | geostatsp_1.8.2.tar.gz |
| Windows binaries: | r-devel: geostatsp_1.8.2.zip, r-release: geostatsp_1.8.2.zip, r-oldrel: geostatsp_1.8.2.zip |
| macOS binaries: | r-release: geostatsp_1.8.2.tgz, r-oldrel: geostatsp_1.8.2.tgz |
| Old sources: | geostatsp archive |
| Reverse suggests: | diseasemapping |
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