A Modified Weights-of-Evidence Method for Regional Mineral Resource Estimation

Natural Resources Research

Volumn 20, Issue 2, 2011, Pages 95-101

  Agterberg, Frits ^a  

^a GEOLOGICAL SURVEY OF CANADA   (Canada)

Author keywords

conditional independence; weighted logistic regression; weights adjustment; Weights of evidence

Indexed keywords

EID: 79955933272     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1007/s11053-011-9138-0     Document Type: Article

References (19)

1. Agterberg, F. P., 1992, Combining indicator patterns in weights of evidence modeling for resource evaluation: Nonrenew. Resour., v. 1, no. 1, p. 35-50.
2. Agterberg, F. P., and Cheng, Q., 2002, Conditional independence test for weights-of-evidence modeling: Nat. Resour. Res., v. 11, no. 4, p. 249-255.
3. Agterberg, F. P., Bonham-Carter, G. F., and Wright, D. F., 1990, Statistical pattern integration for mineral exploration, in Gaál, G., and Merriam, D. F., eds., Computer Applications in Resource Exploration, Prediction and Assessment for Metals and Petroleum: Pergamon, Oxford, p. 1-21.
4. Agterberg, F. P., Bonham-Carter, G. F., Cheng, Q. M., and Wright, D. F., 1993, Weights of evidence modeling and weighted logistic regression for mineral potential mapping, in Davis, J. C., and Herzfeld, U. C., eds., Computers in Geology-25Years of Progress: Oxford University Press, New York, p. 13-32.
5. Bonham-Carter, G. F., 1994, Geographic Information Systems for Geoscientists: Pergamon, Oxford, p. 398.
6. Bonham-Carter, G. F., Agterberg, F. P., and Wright, D. F., 1988, Integration of geological datasets for gold exploration in Nova Scotia: Photogramm. Eng. Remote Sens., v. 54, no. 11, p. 1585-1592.
7. Bonham-Carter, G. F., Agterberg, F. P., Cheng, Q., Behnia, P., Raines, G., and Kerswill, J., 2009, Correcting for bias in weights-of-evidence applications to assessing mineral processing: IAMG-2009 Conference Proceedings, Stanford University.
8. Caumon, G., Ortiz, J. M., and Rabeau, O., 2006, A comparative study of three data-driven mineral potential mapping techniques: Proceedings CD, IAMG-2006, S13-05 (4 pages).
9. Cheng, Q., 2008, Non-linear theory and power-law models for information integration and mineral resources quantitative assessments, in Bonham-Carter, G., and Cheng, Q., eds., Progress in Geomathematics: Springer, Heidelberg, p. 195-225.
10. Christensen, R., 1990, Log-Linear Models: Springer-Verlag, New York, p. 408.
11. Deng, M., 2009, A conditional dependence adjusted Weights of Evidence model: Nat. Resour. Res., v. 18, no. 4, p. 249-258.
12. Deng, M., 2010a, A spatially autocorrelated Weights of Evidence model: Nat. Resour. Res., v. 19, no. 1, p. 33-44.
13. Deng, M., 2010b, An ordered Weights of Evidence model for ordered discrete variables: Nat. Resour. Res., v. 19, no. 2, p. 83-89.
14. Journel, A. J., 2002, Combining knowledge from diverse sources: An alternative to traditional conditional independence hypothesis: Math. Geol., v. 34, no. 5, p. 573-596.
15. Krishnan, S., 2008, The tau model for data redundancy and information combination in earth sciences: Theory and application: Math. Geosc., v. 40, no. 6, p. 705-727.
16. Krishnan, S., Boucher, A., and Journel, A. G., 2004, Evaluating information redundancy through the Tau model, in Leuangthong, O., and Deutsch, eds., Geostatistics Banff 2004: Springer, Heidelberg, p. 1037-1046.
17. Raines, G. L., and Bonham-Carter, G., 2007, Introduction to special issue on spatial modeling: Nat. Resour. Res., v. 16, no. 2, p. 81-82.
18. Sawatzky, D. I., Raines, G. L., Bonham-Carter, G. F., and Looney, 2009, Spatial Data Modeller (SDM): ArcMAP 9. 3 geoprocessing tools for spatial modelling using weights of evidence, logistic regression, fuzzy logic and neural networks: http://arcscripts. esri. com/details. asp/dbid=15341.
19. Spiegelhalter, D. J., and Knill-Jones, R. P., 1984, Statistical and knowledge-based approaches to clinical decision-support systems with an application in gastroenterology (with discussion): J. R. Stat. Soc. B, v. 147, p. 35-77.