The effect of drift on the experimental semivariogram
- 158 Downloads
When nonlinear drift is present, the nature of the bias in the experimental semivariogram estimator of the semivariogram function is determined by the extent and density of the sampling as well as by the drift function itself. The bias caused by drift may affect the interpretation of the experimental semivariogram over its entire range.
Key wordsBias drift semivariogram geostatistics
Unable to display preview. Download preview PDF.
- Delfiner, P., 1976, Linear estimation of nonstationary spatial phenomena,in M. Guarascio (Ed.), Advanced Geostatistics in the Mining Industry; D. Reidel, Dordrecht, p. 49–68.Google Scholar
- Journel, A. G., 1974, Geostatistics for conditional simulation of ore bodies: Econ. Geol., v. 69, p. 637–687.Google Scholar
- Matheron, G., 1971, The theory of regionalized variables and its applications: Cah. Cent. Morphol. Math., no. 5, 211 p.Google Scholar
- Ryan, T. A., Joiner, B. L., and Ryan, B. F., 1976, MINITAB Student Handbook: Duxbury Press, North Scituate, MA.Google Scholar
- Starks, T. H., Behrens, N. A., and Fang, J. H., 1982, The combination of sampling and kriging in the regional estimation of coal resources: Jour. Math. Geol., v. 14, p. 85–104.Google Scholar