Abstract
The data provide information about regionalized variables, which are simply functions z(x) (of a spatial or time continuum) whose behavior we would like to characterize. In applications the regionalized variables are usually not identical with simple deterministic functions and it is therefore of advantage to place them into a probabilistic framework.
“It could be said, as in The Emperor of the Moon, that all is everywhere and always like here, up to a degree of magnitude and perfection.”
GW Leibniz
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“C’est partout et toujours comme ici, c’est partout et toujours comme chez nous, aux degrés de grandeur et de perfection près.” [M Serres (1968) Le Système de Leibniz et ses Modèles Mathématiques. Presses Universitaires de France, Paris.]
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© 1995 Springer-Verlag Berlin Heidelberg
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Wackernagel, H. (1995). Regionalized Variable and Random Function. In: Multivariate Geostatistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-03098-1_3
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DOI: https://doi.org/10.1007/978-3-662-03098-1_3
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