Spatially weighted singularity mapping in conjunction with random forest algorithm for mineral prospectivity modeling

Ghasemzadeh, Saeid, Maghsoudi, Abbas, Yousefi, Mahyar, and Kreuzer, Oliver P. (2023) Spatially weighted singularity mapping in conjunction with random forest algorithm for mineral prospectivity modeling. International Journal of Mining and Geo-Engineering, 57 (4). pp. 455-462.

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Abstract

Geochemical exploration data play a vital role in mineral prospectivity modelling (MPM) for discovering unknown mineral deposits. In this study, the improved spatially weighted singularity mapping (SWSM) method is used to improve the practice of identifying geochemical anomalies related to copper mineralization in the Sarduiyeh district, Iran. Then, the random forest algorithm (RF) and geometric average function (GA) are used to integrate the resulting geochemical predictor map with other predictor maps. As demonstrated by the high area under the curve (AUC) values, this approach can effectively delineate prospective areas with RF and GA. However, compared to the GA approach (AUC=0.78), the RF technique (AUC = 0.98) offers superior prediction capabilities due to its enhanced ability to capture spatial correlations between predictive maps and known mineral deposits. The proposed procedure, a hybrid of the improved SWSM and RF has outstanding predictive capabilities for identifying prospective areas. A case in point is the new, highly prospective areas identified in this study, which present priority targets for future exploration in the Sarduiyeh district.

Item ID: 82121
Item Type: Article (Research - C1)
ISSN: 2345-6949
Keywords: Anisotropic singularity, Geochemical signature, Mineral prospectivity modelling, Sarduiyeh
Copyright Information: This is an open access article under the terms of the Creative Commons Attribution (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Date Deposited: 14 Mar 2024 03:34
FoR Codes: 37 EARTH SCIENCES > 3703 Geochemistry > 370301 Exploration geochemistry @ 100%
SEO Codes: 25 MINERAL RESOURCES (EXCL. ENERGY RESOURCES) > 2503 Mineral exploration > 250399 Mineral exploration not elsewhere classified @ 100%
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