Abstract
Regionalized variable theory provides a way for statistically estimating variation in a property sampled over a spatial domain. Regionalized variables, which are intermediate in behavior between purely random variables and deterministic functions, commonly occur in nature. Examples include variations in composition within ore bodies or concentrations of pesticides in soils. The degree of spatial continuity of a regionalized variable is expressed in the sernivariogram. Kriging is a procedure used to estimate values of regionalized variables at unsampled locations, and can be used to create a map of the expected values of a property. In addition, a map of the standard error of the estimates can be made.
Some of the material in this article has been adopted from the manuscript for the second edition of “Statistics and Data Analysis in Geology,” to be published by John Wiley & Sons, Inc., New York.
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Henley, J., 1981, Nonparameteic Geostatistics : Applied Science Publishers Ltd., London, 145 pp.
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© 1984 Springer Science+Business Media Dordrecht
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Davis, J.C. (1984). Variation in Space: An Introduction to Regionalized Variables. In: Kowalski, B.R. (eds) Chemometrics. NATO ASI Series, vol 138. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1026-8_17
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DOI: https://doi.org/10.1007/978-94-017-1026-8_17
Publisher Name: Springer, Dordrecht
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