1. Basic properties and modeling of natural objects. Introduction to geostatistics.
2. Random function. Regionalized variable.
3. Stationary and intrinsic hypotheses. Variogram. Anisotropies, drift, models for variograms.
4. Experimental variograms. Structural analysis.
5. Dispersion as a function of block size. Regularization and deregularization of variograms.
6. Local estimation – kriging. Ordinary kriging. Point kriging and block kriging. Simple kriging. Universal kriging.
7. Cokriging. Nonlinear kriging. Lognormal kriging. Indicator kriging.
8. Soft kriging. Probability kriging.
9. Cross validation. Principles of stochastic simulation.
10. Global estimation.
2. Random function. Regionalized variable.
3. Stationary and intrinsic hypotheses. Variogram. Anisotropies, drift, models for variograms.
4. Experimental variograms. Structural analysis.
5. Dispersion as a function of block size. Regularization and deregularization of variograms.
6. Local estimation – kriging. Ordinary kriging. Point kriging and block kriging. Simple kriging. Universal kriging.
7. Cokriging. Nonlinear kriging. Lognormal kriging. Indicator kriging.
8. Soft kriging. Probability kriging.
9. Cross validation. Principles of stochastic simulation.
10. Global estimation.