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>).

Package details

AuthorAndreas Papritz [aut, cre]
MaintainerAndreas Papritz <papritz@retired.ethz.ch>
LicenseGPL (>= 2) | LGPL (>= 2)
Version0.3-20
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("georob")

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georob documentation built on Sept. 11, 2024, 6:07 p.m.