A comparative study of three mineral Potential Mapping techniques

Guillaume Caumon and Julian Ortiz and Olivier Rabeau. ( 2006 )
in: Proc. IAMG 2006

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 simple data-driven techniques: logistic regression and weights of evidence (WoE), and proposes a cross-validation technique to depart from conditional independence in WoE to better manage 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.

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BibTeX Reference

@INPROCEEDINGS{Caumon06IAMGa,
    author = { Caumon, Guillaume and Ortiz, Julian and Rabeau, Olivier },
     title = { A comparative study of three mineral Potential Mapping techniques },
 booktitle = { Proc. IAMG 2006 },
      year = { 2006 },
  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 simple data-driven techniques: logistic regression and weights of evidence (WoE), and proposes a cross-validation technique to depart from conditional independence in WoE to better manage 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. }
}