Universal Kriging

Ricardo A. Olea
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Ricardo A. Olea: The University of Kansas, Kansas Geological Survey

Chapter Chapter 6 in Geostatistics for Engineers and Earth Scientists, 1999, pp 91-113 from Springer

Abstract: Abstract In Chapter 4 we saw a first attempt to generalize simple kriging by removing the requirement that the constant mean of the random function be known and an effort to lift the constant mean requirement by moving from a global constant mean to a locally constant mean. There are several instances of attributes— water depth near the shore, temperature in the upper part of the earth’s crust, water table elevation in the High Plains aquifer of Kansas—that have a clear systematic variation. Models that presume constancy of the mean are inadequate for the characterization of such attributes.

Keywords: Lagrange Multiplier; Estimation Location; Random Function; Optimal Weight; Ordinary Kriging (search for similar items in EconPapers)
Date: 1999
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-5001-3_6

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DOI: 10.1007/978-1-4615-5001-3_6

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