Computational properties of min/max autocorrelation factors

Vargas-Guzman, JA and Dimitrakopoulos, R (2003) Computational properties of min/max autocorrelation factors. Computers & Geosciences, 29 6: 715-723. doi:10.1016/S0098-3004(03)00036-0

Author Vargas-Guzman, JA
Dimitrakopoulos, R
Title Computational properties of min/max autocorrelation factors
Journal name Computers & Geosciences   Check publisher's open access policy
ISSN 0098-3004
Publication date 2003-01-01
Sub-type Article (original research)
DOI 10.1016/S0098-3004(03)00036-0
Open Access Status Not yet assessed
Volume 29
Issue 6
Start page 715
End page 723
Total pages 9
Editor G. F. Bonham-Carter
Place of publication Oxford, UK
Publisher Pergamon-Elsevier Science Ltd
Language eng
Subject C1
290799 Resources Engineering not elsewhere classified
640100 Exploration
Abstract Minimum/maximum autocorrelation factor (MAF) is a suitable algorithm for orthogonalization of a vector random field. Orthogonalization avoids the use of multivariate geostatistics during joint stochastic modeling of geological attributes. This manuscript demonstrates in a practical way that computation of MAF is the same as discriminant analysis of the nested structures. Mathematica software is used to illustrate MAF calculations from a linear model of coregionalization (LMC) model. The limitation of two nested structures in the LMC for MAF is also discussed and linked to the effects of anisotropy and support. The analysis elucidates the matrix properties behind the approach and clarifies relationships that may be useful for model-based approaches. (C) 2003 Elsevier Science Ltd. All rights reserved.
Keyword Computer Science, Interdisciplinary Applications
Geosciences, Multidisciplinary
Spatial Components
Nested Structures
Discriminant Analysis
Q-Index Code C1
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
2004 Higher Education Research Data Collection
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Citation counts: TR Web of Science Citation Count  Cited 16 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 19 times in Scopus Article | Citations
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Created: Wed, 15 Aug 2007, 12:42:02 EST