Optimized spatial sampling of soil for estimation of the variogram by maximum likelihood

Author:

Lark R.M

Publisher

Elsevier BV

Subject

Soil Science

Reference33 articles.

1. Simulated Annealing and Boltzmann Machines—A Stochastic Approach to Combinatorial Optimization and Neural Computing;Aarts,1989

2. Optimal spatial sampling design for the estimation of the variogram based on a least squares approach;Bogaert;Water Resources Research,1999

3. Bresler, E., Green, R.E., 1982. Soil parameters and sampling scheme for characterizing soil hydraulic properties of a watershed. Technical 148. Water Resources Research Center, University of Hawaii, Honolulu (not available but cited by Warrick and Myers, 1987).

4. Estimation of nonergodic variograms and their sampling variance by design-based sampling strategies;Brus;Mathematical Geology,1994

5. Optimal interpolation and isarithmic mapping of soil properties: I. The semivariogram and punctual kriging;Burgess;Journal of Soil Science,1980

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