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.
Version: | 1.6.0 |
Depends: | Matrix (≥ 1.2.0), raster, sp, R (≥ 3.0.0) |
Imports: | abind, numDeriv, methods, stats |
LinkingTo: | Matrix |
Suggests: | RandomFields, rgdal, parallel, mapmisc, ellipse, pracma, knitr |
Enhances: | INLA, diseasemapping, geoR, rgeos, mvtnorm, Ryacas |
Published: | 2018-01-03 |
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_1.6.0.tar.gz |
Windows binaries: | r-devel: geostatsp_1.6.0.zip, r-release: geostatsp_1.6.0.zip, r-oldrel: geostatsp_1.6.0.zip |
OS X El Capitan binaries: | r-release: geostatsp_1.6.0.tgz |
OS X Mavericks binaries: | r-oldrel: geostatsp_1.6.0.tgz |
Old sources: | geostatsp archive |
Reverse imports: | spatsurv |
Reverse suggests: | diseasemapping |
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