Semivariogram modeling by weighted least squares

Computers & Geosciences
By: , and 



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.
Publication type Article
Publication Subtype Journal Article
Title Semivariogram modeling by weighted least squares
Series title Computers & 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
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