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Spectral simulation of multivariable stationary random functions using covariance fourier transforms

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Abstract

A coregionalization simulation consists of the generation of realizations of a group of spatially related random variables. The Fourier integral method is presented, modified to carry out such a multivariable simulation. This method allows the simulation of realizations with any specified symmetrical covariance matrix and it is not limited to the classic linear model of coregionalization. The results of gaussian nonconditinal simulations from a case study modeling the spatial characteristics of a layer of coal are given.

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Authors and Affiliations

  1. Campus Fuentenueva s/n, Departamento de Geodinámica, Universidad de Granada, 18071, Granada, Spain

    E. Pardo-Igúzquiza & M. Chica-Olmo

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  1. E. Pardo-Igúzquiza
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  2. M. Chica-Olmo
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Pardo-Igúzquiza, E., Chica-Olmo, M. Spectral simulation of multivariable stationary random functions using covariance fourier transforms. Math Geol 26, 277–299 (1994). https://doi.org/10.1007/BF02089226

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  • DOI: https://doi.org/10.1007/BF02089226

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