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) .


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install.packages("geostatsp")

1.7.2 by Patrick Brown, 7 months ago


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


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


Imported by spatsurv.

Suggested by diseasemapping.


See at CRAN