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georob: Robust Geostatistical Analysis of Spatial Data

Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) <doi:10.3929/ethz-a-009900710>) and Gaussian (Harville (1977) <doi:10.1080/01621459.1977.10480998>) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) <doi:10.1002/9781119115151>), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) <doi:10.18637/jss.v055.i09>), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) <doi:10.1007/s11004-005-9022-8>).

Version: 0.3-20
Depends: R (≥ 2.14), sp (≥ 0.9-60)
Imports: abind, constrainedKriging (≥ 0.2-7), fields, graphics, lmtest, methods, nlme, nleqslv, parallel, quantreg, robustbase (≥ 0.90-2), snowfall, stats, utils
Suggests: gstat, multcomp, lattice
Published: 2024-09-05
DOI: 10.32614/CRAN.package.georob
Author: Andreas Papritz [aut, cre]
Maintainer: Andreas Papritz <papritz at retired.ethz.ch>
License: GPL-2 | GPL-3 | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: GPL (≥ 2) | LGPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS ChangeLog
In views: Spatial
CRAN checks: georob results

Documentation:

Reference manual: georob.pdf
Vignettes: Tutorial and Manual for georob (source, R code)

Downloads:

Package source: georob_0.3-20.tar.gz
Windows binaries: r-devel: georob_0.3-20.zip, r-release: georob_0.3-20.zip, r-oldrel: georob_0.3-20.zip
macOS binaries: r-release (arm64): georob_0.3-20.tgz, r-oldrel (arm64): georob_0.3-20.tgz, r-release (x86_64): georob_0.3-20.tgz, r-oldrel (x86_64): georob_0.3-20.tgz
Old sources: georob archive

Reverse dependencies:

Reverse suggests: pedometrics

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.