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An approximate method for joint sequential simulation of multiple spatial variables

delete2009-06-19
delete3
PRE
AI
O
Olena Babak *
D
David F. Machuca-Mory
C
Clayton V. Deutsch
DOI:10.1007/s00477-009-0322-2delete
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摘要

摘要

En 中文
Multivariate simulation is an important longstanding problem in geostatistics. Fitting a model of coregionalization to many variables is intractable and often not permitted; however, the matrix of collocated correlation coefficients is often well informed. Performing a matrix simulation with LU decomposition of the correlation matrix at each step of sequential simulation is implemented in some software. The target correlation matrix is not reproduced because of conditioning to local data and the particular variable ordering in the sequential/LU decomposition. A correction procedure is developed to calculate a modified correlation matrix that leads to reproduction of the target correlation matrix. The theoretical and practical aspects of this correction are developed.
Keyword:
Collocated cokriging
Multivariate simulation
Geostatistics
Correlation matrix

期刊

Stochastic Environmental Research and Risk Assessment 封面图
Stochastic Environmental Research and Risk Assessment
IF:
3.6
论文数:
3.5K
被引数:
6.9K

机构

U
university of alberta
学者数:
5.1W
论文数: 4.9W
被引数: 65
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