Geometric average of spatial evidence data layers: a GIS-based multi-criteria decision making approach to mineral prospectivity mapping

Yousefi, Mahyar, and Carranza, Emmanuel John M. (2015) Geometric average of spatial evidence data layers: a GIS-based multi-criteria decision making approach to mineral prospectivity mapping. Computers & Geosciences, 83. pp. 72-79.

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DOI: 10.1016/j.cageo.2015.07.006

View at Publisher Website: http://dx.doi.org/10.1016/j.cageo.2015.0...

Abstract

Techniques for GIS-based multicriteria decision-making (GIS-MCDM), like mineral prospectivity mapping (MPM), are concerned with combining information from several criteria into a single evaluation model to solve certain problems in the fields of geosciences. In this paper, we introduce the geometric average method for MPM, as a GIS-MCDM approach, and demonstrate its advantage over the expected value MPM method. The comparative analysis shows that the geometric average MPM method yields better prediction of mineral prospectivity and it overcomes the limitation of the expected value method in terms of using spatial evidence values with the same unit.


Item ID:	39553
Item Type:	Article (Research - C1)
ISSN:	1873-7803
Keywords:	multi-criteria decision-making; geometric average; target generation; mineral prospectivity mapping
Date Deposited:	28 Jul 2015 01:31
FoR Codes:	04 EARTH SCIENCES > 0403 Geology > 040307 Ore Deposit Petrology @ 10% 01 MATHEMATICAL SCIENCES > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis @ 50% 08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 40%
SEO Codes:	84 MINERAL RESOURCES (excl. Energy Resources) > 8401 Mineral Exploration > 840199 Mineral Exploration not elsewhere classified @ 100%
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