Abstract
The multivariate regionalization of a set of random functions can be represented with a spatial multivariate linear model. The associated multivariate nested variogram model is easily fitted to the multivariate data. Several coregionalization matrices describing the multivariate correlation structure at different scales of a phenomenon result from the variogram fit. The relation between the coregionalization matrices and the classical variance-covariance matrix is examined.
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© 1995 Springer-Verlag Berlin Heidelberg
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Wackernagel, H. (1995). Multivariate Nested Variogram. In: Multivariate Geostatistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03098-1_24
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DOI: https://doi.org/10.1007/978-3-662-03098-1_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-03100-1
Online ISBN: 978-3-662-03098-1
eBook Packages: Springer Book Archive