NDLI: Measuring the Performance of Mineral-Potential Maps

Content Provider	Springer Nature Link
Author	Agterberg, Frederik P. Bonham Carter, Graeme F.
Copyright Year	2005
Abstract	D. P. Harris and others have proposed a new method for comparative analysis of favorability mappings. In their approach, Weights-of-Evidence (WofE) consistently shows poorer results than other more flexible methods. Information loss because of discretization would be a second drawback of WofE. In this paper, we discuss that the random cell selection method proposed by Harris and others necessarily results in higher success ratios for more flexible methods but this does not necessarily indicate that these methods provide better mineral-potential maps. For example, a good point density contouring method that does not use any geoscience background information also would score high in the random cell selection approach. Additionally, we show that discretization usually is advantageous because it prevents occurrences of overly high posterior probabilities. For more detailed comparison, we have conducted a number of experiments on 90 gold deposits in the Gowganda Area of the Canadian Shield comparing WofE with the more flexible weighted logistic regression method. Mineral occurrences should be modeled as discoveries at points instead of randomly sampling them together with their surrounding environments in small cells.
Starting Page	1
Ending Page	17
Page Count	17
File Format	PDF
ISSN	15207439
Journal	Natural Resources Research
Volume Number	14
Issue Number	1
e-ISSN	15738981
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2005-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Mineral-potential mapping GIS-based statistical techniques weights of evidence weighted logistic regression conditional independence Kolmogorov-Smirnov test Economic Geology Hydrogeology Math. Applications in Geosciences Sedimentology
Content Type	Text
Resource Type	Article
Subject	Environmental Science

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