A spectral approach to simulating intrinsic random fields with power and spline generalized covariances

Emery, X; Lantuejoul, C

Abstract

This article presents a variant of the spectral turning bands method that allows fast and accurate simulation of intrinsic random fields with power, spline, or logarithmic generalized covariances. The method is applicable in any workspace dimension and is not restricted in the number and configuration of the locations where the random field is simulated; in particular, it does not require these locations to be regularly spaced. On the basis of the central limit and Berry-Esséen theorems, an upper bound is derived for the Kolmogorov distance between the distributions of generalized increments of the simulated random fields and the normal distribution. © Springer Science+Business Media B.V. 2007.

Más información

Título según WOS: A spectral approach to simulating intrinsic random fields with power and spline generalized covariances
Título según SCOPUS: A spectral approach to simulating intrinsic random fields with power and spline generalized covariances
Título de la Revista: Computational Geosciences
Volumen: 12
Número: 1
Editorial: Springer International Publishing
Fecha de publicación: 2008
Página de inicio: 121
Página final: 132
Idioma: English
URL: http://link.springer.com/10.1007/s10596-007-9064-8
DOI:

10.1007/s10596-007-9064-8

Notas: ISI, SCOPUS