Abstract
The Disjunctive Kriging formalism has been implemented for a number of tasks in geostatistics. Despite the advantages of this formalism, application has been hindered by complex presentations and the lack of simple code. This paper goes 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. The coefficients of this polynomial expansion fully define the relationship between the original values and their normal score transforms. Disjunctive Kriging amounts to using simple kriging to estimate the polynomial values at unsampled locations. The estimate of the variable is built by linearly combining the estimated polynomial values, weighted by the coefficients of fitting of the global distribution. These estimated values completely define the local distribution of uncertainty. It is straightforward to implement this formalism in computer code; this paper attempts to provide a clear exposition of the theoretical details for confident application and future development.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
