Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS

The aim of this study is to test and compare two probabilistic based models (frequency ratio and weights-of-evidence) with regard to regional gold potential map-ping at Kelantan, Malaysia. Until now these models have not been used for the purpose of mapping gold potential areas in Malaysia. This stu...

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Main Authors: Yusoff, Suhaimizi, Pradhan, Biswajeet, Manap, Mohamad Abd, Mohd Shafri, Helmi Zulhaidi
Format: Article
Language:English
Published: Springer 2015
Online Access:http://psasir.upm.edu.my/id/eprint/46113/
http://psasir.upm.edu.my/id/eprint/46113/1/Regional%20gold%20potential%20mapping%20in%20Kelantan%20%28Malaysia%29%20using%20probabilistic%20based%20models%20and%20GIS.pdf
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author Yusoff, Suhaimizi
Pradhan, Biswajeet
Manap, Mohamad Abd
Mohd Shafri, Helmi Zulhaidi
author_facet Yusoff, Suhaimizi
Pradhan, Biswajeet
Manap, Mohamad Abd
Mohd Shafri, Helmi Zulhaidi
author_sort Yusoff, Suhaimizi
building UPM Institutional Repository
collection Online Access
description The aim of this study is to test and compare two probabilistic based models (frequency ratio and weights-of-evidence) with regard to regional gold potential map-ping at Kelantan, Malaysia. Until now these models have not been used for the purpose of mapping gold potential areas in Malaysia. This study analyzed the spatial relation-ship between gold deposits and geological factors such as lithology, faults, geochemical and geophysical data in geographical information system (GIS) software. About eight (8) gold deposits and five (5) related factors are identified and quantified for their spatial relationships. Then, all factors were combined to generate a predictive gold potential map. The predictive maps were then validated by com-paring them with known gold deposits using receiver operating characteristics (ROC) and “area under the curve” (AUC) graphs. The results of validation showed accuracies of 80% for the frequency ratio and 74% for the weights-of-evidence model, respectively. The results demonstrated the usefulness of frequency ratio and weights-of-evidence modeling techniques in mineral exploration work to dis-cover unknown gold deposits in Kelantan, Malaysia.
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spelling upm-461132022-03-23T04:17:23Z http://psasir.upm.edu.my/id/eprint/46113/ Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS Yusoff, Suhaimizi Pradhan, Biswajeet Manap, Mohamad Abd Mohd Shafri, Helmi Zulhaidi The aim of this study is to test and compare two probabilistic based models (frequency ratio and weights-of-evidence) with regard to regional gold potential map-ping at Kelantan, Malaysia. Until now these models have not been used for the purpose of mapping gold potential areas in Malaysia. This study analyzed the spatial relation-ship between gold deposits and geological factors such as lithology, faults, geochemical and geophysical data in geographical information system (GIS) software. About eight (8) gold deposits and five (5) related factors are identified and quantified for their spatial relationships. Then, all factors were combined to generate a predictive gold potential map. The predictive maps were then validated by com-paring them with known gold deposits using receiver operating characteristics (ROC) and “area under the curve” (AUC) graphs. The results of validation showed accuracies of 80% for the frequency ratio and 74% for the weights-of-evidence model, respectively. The results demonstrated the usefulness of frequency ratio and weights-of-evidence modeling techniques in mineral exploration work to dis-cover unknown gold deposits in Kelantan, Malaysia. Springer 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/46113/1/Regional%20gold%20potential%20mapping%20in%20Kelantan%20%28Malaysia%29%20using%20probabilistic%20based%20models%20and%20GIS.pdf Yusoff, Suhaimizi and Pradhan, Biswajeet and Manap, Mohamad Abd and Mohd Shafri, Helmi Zulhaidi (2015) Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS. Central European Journal of Geosciences (Open Geosciences), 7. pp. 149-161. ISSN 2081-9900; ESSN:1896-1517 https://www.degruyter.com/document/doi/10.1515/geo-2015-0012/html 10.1515/geo-2015-0012
spellingShingle Yusoff, Suhaimizi
Pradhan, Biswajeet
Manap, Mohamad Abd
Mohd Shafri, Helmi Zulhaidi
Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
title Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
title_full Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
title_fullStr Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
title_full_unstemmed Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
title_short Regional gold potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS
title_sort regional gold potential mapping in kelantan (malaysia) using probabilistic based models and gis
url http://psasir.upm.edu.my/id/eprint/46113/
http://psasir.upm.edu.my/id/eprint/46113/
http://psasir.upm.edu.my/id/eprint/46113/
http://psasir.upm.edu.my/id/eprint/46113/1/Regional%20gold%20potential%20mapping%20in%20Kelantan%20%28Malaysia%29%20using%20probabilistic%20based%20models%20and%20GIS.pdf