PyKrige internally supports the six variogram models listed below. Additionally, the code supports user-defined variogram models via the 'custom' variogram model keyword argument. For stationary ...

Functions: an ordner containing the following documents - Auxiliary-functions.R: auxiliary functions needed for the variogram estimations, e.g. to build the vectors for the MCD variogram estimators - ...

Experimental variogram modelling is an essential process in geostatistics. The use of artificial intelligence (AI) is a new and advanced way of automating experimental variogram modelling. One part of ...

A Bayesian approach to covariance estimation and spatial prediction based on flexible variogram models is introduced. In particular, we consider black-box kriging models. These variogram models do not ...

Abstract: Parameter estimation of variogram models is an important problem in geostatistics and environmental engineering. Most of existing works aim to estimate parameters of variogram single models, ...