A comparative study of three mineral Potential Mapping techniques
Authors
Guillaume Caumon and Julian Ortiz and Olivier Rabeau
Journal/Article/Conference
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
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=
{Guillaume Caumon and Julian Ortiz and Olivier Rabeau}
,
|
| title
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=
{A comparative study of three mineral Potential Mapping techniques},
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| booktitle
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=
{Proc. IAMG 2006},
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| YEAR
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{2006},
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}
@inproceedings{Caumon06IAMGa,