Robust Geostatistical Analysis of Spatial Data

Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) ) and Gaussian (Harville (1977) ) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) ), 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) ), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) ).