A comparative study of three-driven Mineral Potential Mapping techniques.

@inproceedings{P26_Caumon,
 abstract = { High prices of mineral resources and progresses in models of mineral deposits maintain a high activity
in mining exploration. Many data integration techniques exist to assess the mining potential of a region,
and it may be difficult for the practitioner to select the most appropriate. This paper compares two types
of data-driven methods to estimate a probability map of mineralization occurrences from several sources of
information: multivariate logistic regression, under the assumption that all indicators are independent, and
weights of evidence, which assumes only conditional independence. A proposal to depart from conditional
independence assumptions in Weights of Evidence is also presented, that allows a better management of data
redundancy. All three methods are applied to gold potential mapping in a 3D geo-model of the Duparquet
region located on the Porcupine Destor fault in the Abitibi subprovince, Canada. },
 author = { Caumon, Guillaume AND Ortiz, Julian AND Rabeau, Olivier },
 booktitle = { Proc. 26th Gocad Meeting, Nancy },
 title = { A comparative study of three-driven Mineral Potential Mapping techniques. },
 year = { 2006 }
}