Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
| Autor: | Mahyar Yousefi, Emmanuel John M. Carranza, Mark J. Mihalasky, Vesa Nykänen, Jon Hronsky, Oliver P. Kreuzer |
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| Rok vydání: | 2021 |
| Předmět: |
Geographic information system
Computer science business.industry 010501 environmental sciences 010502 geochemistry & geophysics 01 natural sciences Data science Mineral exploration Prospectivity mapping Geochemistry and Petrology Robustness (computer science) Intelligence amplification Key (cryptography) Data analysis Information system Economic Geology business 0105 earth and related environmental sciences |
| Zdroj: | Journal of Geochemical Exploration. 229:106839 |
| ISSN: | 0375-6742 |
| Popis: | Mineral exploration targeting is a highly complex decision-making task. Two key risk factors, the quality of exploration data and robustness of the underlying conceptual targeting model, have a strong impact on the effectiveness of this decision-making. Geographic information systems (GIS) can be used not only for compiling, integrating, interrogating and interpreting diverse exploration data, but also for targeting by employing powerful mathematical algorithms, an approach that is commonly referred to as mineral potential modelling or mineral prospectivity mapping (MPM). Here, we pose and examine key aspects around the question of “how can we get better at mineral exploration targeting using GIS?” We do this by (1) reviewing the fundamental aspects of MPM, (2) identifying significant deficiencies of MPM, and (3) discussing possible solutions to alleviating or eliminating these deficiencies. In particular, we discuss how these deficiencies can be overcome by adopting an intelligence amplification system, such as the recently proposed exploration information system (EIS) for translating critical ore-forming processes into spatially predictive criteria (i.e., predictor maps and spatial proxies) and improving decision-making in mineral exploration targeting. |
| Databáze: | OpenAIRE |
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