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) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.8.2 by Patrick Brown, 7 months ago

Browse source code at

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

Documentation:   PDF Manual  

Task views: Analysis of Spatial Data

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