Constrained Kriging: An Alternative to Predict Global Recoverable Resources

Author:

Mery NadiaORCID,Marcotte Denis,Dutaut Raphael

Funder

Fondo de Fomento al Desarrollo Científico y Tecnológico

National Research Council Canada

Fonds de Recherche du Québec - Nature et Technologies

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Reference25 articles.

1. Abzalov, M. Z. (2006). Localised uniform conditioning (LUC): A new approach for direct modelling of small blocks. Mathematical Geology, 38, 393–411. https://doi.org/10.1007/s11004-005-9024-6.

2. Aldworth, J., & Cressie, N. (1999). Sampling designs and prediction methods for Gaussian spatial processes. In S. Ghosh, (Ed.), Multivariate analysis, design of experiments, and survey sampling (pp. 1–54). New York volume 159.

3. Aldworth, J., & Cressie, N. (2003). Prediction of nonlinear spatial functionals. Journal of Statistical Planning and Inference, 112, 3–41. https://doi.org/10.1016/S0378-3758(02)00321-X.

4. Camus, Y., & Desharnais, G. (2015). Practical Application of Kriging Neighbourhood Analysis for the selection of Interpolation Parameters. White Paper, 9 p. Technical Report SGS.

5. Chilès, J., & Delfiner, P. (2012). Geostatistics: Modeling Spatial Uncertainty (2nd ed.). New York: Wiley.

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