Iterative algorithms for fitting a linear model of coregionalization

In geostatistical applications, automated or semi-automated procedures are often used for modeling the spatial correlation structure (simple and cross variograms) of multivariate data. This paper deals with the well-known linear model of coregionalization and presents three iterative algorithms to f...

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Veröffentlicht in:	Computers & geosciences Jg. 36; H. 9; S. 1150 - 1160
1. Verfasser:	Emery, Xavier
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.09.2010 Elsevier
Schlagworte:	Algorithms Cross covariance Cross variogram Deviation Earth sciences Earth, ocean, space Exact sciences and technology Fittings Heterotopic sampling Iterative algorithms Mathematical analysis Mathematical models Matrices Matrix methods Metal geology Metallic and non-metallic deposits Multi-Gaussian model Multivariate variogram analysis Plurigaussian model Proposals Simulated annealing South America Chile Multi-Gaussian model Cross variogram Multivariate variogram analysis Simulated annealing Plurigaussian model Cross covariance Heterotopic sampling algorithms iterative methods computer programs variograms covariance case studies multivariate analysis sills copper polymetallic ores computers geostatistics mineral resources sampling data processing least-squares arsenic linear models correlation silver
ISSN:	0098-3004, 1873-7803
Online-Zugang:	Volltext
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