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) .

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("geostatsp")

1.8.6 by Patrick Brown, 2 months ago

Browse source code at https://github.com/cran/geostatsp

Authors: Patrick Brown <[email protected]>[aut, cre] , Robert Hijmans [ctb]

Documentation:   PDF Manual  

Task views:

GPL license

Imports abind, numDeriv, methods, stats

Depends on Matrix, raster, sp

Suggests RandomFields, rgdal, parallel, mapmisc, ellipse, pracma, knitr

Enhances INLA, diseasemapping, geoR, rgeos, mvtnorm

Linking to Matrix

Suggested by diseasemapping.

See at CRAN

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug