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>).
