On Some Consistency Conditions for Geostatistical Change-of-Support Models |
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Authors: | Xavier Emery |
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Institution: | (1) Department of Mining Engineering, University of Chile, Avenida Tupper, 2069, Santiago, Chile |
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Abstract: | This work deals with a family of geostatistical models used in application fields concerned with a change of support, such
as mineral resources evaluation and polluted soil management. Three models are examined: the discrete Gaussian, Hermitian
and Laguerrian models, which rely on a transformation of the variable of interest (mineral grade or pollutant concentration)
defined on point and block supports into variables with Gaussian or gamma univariate distributions and isofactorial bivariate
distributions. The focus is given to the relationships between the transformed variables at both supports, and to the conditions
that these relationships imply on the model parameters. Additionally, guidelines are given for improving the variogram analysis
of the transformed variables and for validating the change-of-support model. |
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Keywords: | discrete Gaussian model bivariate distributions isofactorial bivariate models multigaussian kriging disjunctive kriging uniform conditioning |
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