Modeling and Exploring Multivariate Spatial Variation: A Test Procedure for Isotropy of Multivariate Spatial Data

In this paper an exploratory technique based on the diagonalization of cross-variogram matrices is described. Through the definition of a model for the analysis and simulation of multivariate spatial data, a test procedure for the assumption of isotropy of multivariate spatial data is proposed. Applications to simulated and real data are reported.

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Year of publication:	2001
Authors:	Jona-Lasinio, Giovanna
Published in:	Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 77.2001, 2, p. 295-317
Publisher:	Elsevier
Keywords:	cross-variogram multivariate spatial random fields isotropy principal component analysis test

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005199537