Regression-type algorithms for mapping, including kriging, entail a smoothing of the spatial distribution for the estimates and do not offer the flexibility to reproduce patterns of spatial connectivity specific to extreme values. On the other hand, the non-parametric indicator kriging approach allows reproduction of several spatial connectivity functions. The sequential indicator simulation proposed in this paper is viewed as an alternative technique to Gaussian-related models. An application has been presented.
A Simulation Technique of a non-Gaussian Spatial Process
POSA, Donato
1995-01-01
Abstract
Regression-type algorithms for mapping, including kriging, entail a smoothing of the spatial distribution for the estimates and do not offer the flexibility to reproduce patterns of spatial connectivity specific to extreme values. On the other hand, the non-parametric indicator kriging approach allows reproduction of several spatial connectivity functions. The sequential indicator simulation proposed in this paper is viewed as an alternative technique to Gaussian-related models. An application has been presented.File in questo prodotto:
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