Iterative algorithms for fitting a linear model of coregionalization

• Published in: Computers & geosciences Vol. 36; no. 9; pp. 1150 - 1160
• Main Author: Emery, Xavier
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.09.2010; Elsevier
• Subjects: 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

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...