The Disjunctive Kriging formalism has been implemented for a number of tasks in geostatis- tics. Despite the advantages of this formalism, application has been hindered by presenta- tions that assume a fairly advanced level of mathematical familiarity. This paper will go through the steps to perform Disjunctive Kriging in a simple case.The global stationary distribution of the variable under consideration is fit by Hermite polynomials. Disjunctive Kriging amounts to simple kriging to estimate the polynomial val- ues at an unsampled location. These estimated values completely define the local distribution of uncertainty. It is straightforward to implement this formalism in computer code, but a clear exposition of the theoretical details is required for confident application and any future development.
CITATION STYLE
Ortiz, J. M., Oz, B., & Deutsch, C. V. (2005). A Step by Step Guide to Bi-Gaussian Disjunctive Kriging (pp. 1097–1102). https://doi.org/10.1007/978-1-4020-3610-1_114
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