Abstract #301050

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JSM 2003 Abstract #301050
Activity Number: 400
Type: Invited
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics & the Environment
Abstract - #301050
Title: Multivariable Spatial Prediction
Author(s): Jay M. Ver*+
Companies: Alaska Dept. of Fish & Game
Address: 1300 College Rd., Fairbanks, AK, 99701-1551,
Keywords: cokriging ; cross-variogram ; moving-average ; FFT ; geostatistics
Abstract:

This talk reviews multivariable spatial prediction. Historically, to satisfy the nonnegative-definite condition for the covariance matrix, cokriging has used coregionalization models for cross-variograms, even though this class of models is not very flexible. Recent research has shown that moving-average functions may be used to generate a large class of valid, flexible variogram models, and that they can also be used to generate valid cross-variograms that are compatible with component variograms. There are several problems with the moving-average approach, including large numbers of parameters and difficulties with integration. This talk introduces some solutions to these problems. Both simulation and real examples are given to demonstrate the methods.

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