Fundamental geostatistical tools for data integration

Abstract

This chapter deals with the fundamentals concepts which are the basis for the geostatistical inference algorithms described in Chap. 3. It presents the concepts related with Random Fields and Random Variables and how a bi-point statistics framework (i.e. the variogram model) can be used to characterize the spatial continuity pattern of a given property of interest. After which the different linear estimation models based on Kriging are presented. This chapter includes the necessary and basic theoretical background on geostatistics used in the following chapters. The methodologies described in this part of the book are illustrated with real application examples and best-practices.