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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Prediction-area (P-A) plot and C-A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling
Computers and Geosciences, Volume 79, Year 2015
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Description
There are methods of mineral prospectivity mapping whereby, besides assignment of weights to classes of evidence in an evidential map, every evidential map is also given a weight based on expert opinion. In this regard, evaluating the relative importance of every evidential map derived from particular spatial data sets is a highly subjective exercise and the assignment of meaningful weights to evidential maps usually involves a trial-and-error procedure. In this paper, we used a prediction-area (P-A) plot and normalized density to estimate weights of every evidential map. The method of P-A plot is a data-driven way, rather than using expert opinion, to evaluate and weight evidential maps. © 2015 Elsevier Ltd.
Authors & Co-Authors
Yousefi, Mahyar
Iran, Malayer
Malayer University
Carranza, Emmanuel John M.
Australia, Townsville
James Cook University
Statistics
Citations: 228
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1016/j.cageo.2015.03.007
ISSN:
00983004