Semivariogram modeling by weighted least squares
Computers & Geosciences
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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.
Suggested Citation
Jian, X., Olea, R., and Yu, Y., 1996, Semivariogram modeling by weighted least squares: Computers & Geosciences, v. 22, no. 4, p. 387-397, https://doi.org/10.1016/0098-3004(95)00095-X.
| 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 |