georob: Robust Geostatistical Analysis of Spatial Data

The georob package provides functions for efficiently fitting linear models with spatially correlated errors by robust and Gaussian (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift kriging predictions, along with utility functions for variogram modelling in ad-hoc geostatistical analyses, model building, model evaluation by cross-validation and for unbiased back-transformation of kriging predictions of log-transformed data.

Version: 0.2-1
Depends: R (≥ 2.14.0), sp (≥ 0.9-60)
Imports: constrainedKriging (≥ 0.2-1), lmtest, methods, nlme, nleqslv, quantreg, RandomFields (≥ 3.0.10), robustbase (≥ 0.90-2), snowfall (≥ 1.84-6)
Suggests: geoR
Published: 2015-09-02
Author: Andreas Papritz [cre, aut], Cornelia Schwierz [ctb]
Maintainer: Andreas Papritz <andreas.papritz at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS ChangeLog
In views: Robust, Spatial
CRAN checks: georob results


Reference manual: georob.pdf
Package source: georob_0.2-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: georob_0.2-1.tgz, r-oldrel: georob_0.1-5.tgz
OS X Mavericks binaries: r-release: georob_0.2-1.tgz
Old sources: georob archive