Robust Geostatistical Analysis of Spatial Data R package georob version 0.3-23 CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) 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>). Software 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 Andreas Papritz <papritz@retired.ethz.ch> Comprehensive R Archive Network (CRAN) Andreas Papritz [aut, cre] GPL (>= 2) LGPL (>= 2) 2025-01-28 application/tgz https://CRAN.R-project.org/package=georob doi:10.32614/CRAN.package.georob