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A comparative study of simulation techniques for two dimensional data honouring specified exponential semivariograms

Published online by Cambridge University Press:  17 February 2009

P. I. Brooker  and
M. A. Stewart
P. I. Brooker
Affiliation:
Department of Geology and Geophysics, University of Adelaide, South Australia 5005.
M. A. Stewart
Affiliation:
Teletraffic Research Centre, University of Adelaide, South Australia 5005.
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Abstract

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The effectiveness of four techniques for producing wide sense stationary data with exponential semivariograms is examined. Comparison is made primarily on the basis of the observed semivariograms. The LU decomposition of the covariance matrix appears to most accurately model specified semivariograms, whilst the more computationally efficient Matrix Polynomial approximation and Turning Bands methods may be more useful in practice.

Information

Type
Research Article
Information
The ANZIAM Journal , Volume 36 , Issue 3 , January 1995 , pp. 249 - 260
Copyright
Copyright © Australian Mathematical Society 1995

References

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