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Semivariogram modeling by weighted least squares

Computers and Geosciences

By:
, , and
DOI: 10.1016/0098-3004(95)00095-X

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Abstract

Permissible semivariogram models are fundamental for geostatistical estimation and simulation of attributes having a continuous spatiotemporal variation. The usual practice is to fit those models manually to experimental semivariograms. Fitting by weighted least squares produces comparable results to fitting manually in less time, systematically, and provides an Akaike information criterion for the proper comparison of alternative models. We illustrate the application of a computer program with examples showing the fitting of simple and nested models. Copyright ?? 1996 Elsevier Science Ltd.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Semivariogram modeling by weighted least squares
Series title:
Computers and Geosciences
DOI:
10.1016/0098-3004(95)00095-X
Volume
22
Issue:
4
Year Published:
1996
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Computers and Geosciences
First page:
387
Last page:
397
Number of Pages:
11