Geostatistical Modelling with Likelihood and Bayes
Conditional distribution of GMRF
Exceedance probabilities
Generalized Linear Geostatistical Models
Valid models in INLA
Spatial prediction, or Kriging
Linear Geostatistical Models
Likelihood Based Parameter Estimation for Gaussian Random Fields
Evaluate the Matern correlation function
Precision matrix for a Matern spatial correlation
PC prior for range parameter
Exponentiate posterior quantiles
Joint confidence regions
Simulation of Random Fields
Simulate a log-Gaussian Cox process
Sensitivity and specificity
Create a raster with square cells
Converts a list of rasters, possibly with different projections and re...
Compute Empirical Variograms and Permutation Envelopes
Geostatistical modelling facilities using 'SpatRaster' and 'SpatVector' objects are provided. Non-Gaussian models are fit using 'INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The 'RandomFields' package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.