Mineral Prospectivity as an Inference Question Towards the Unification of Knowledge and Data Driven Approaches
<div>Mineral prospectivity studies seek to map evidence of mineral system activity, with the aim of informing mineral exploration decisions and guiding exploration in the face of uncertainty. These studies leverage the growing volumes of information that are available to characterise the lithosphere by compiling covariate (or feature) grids that represent key mineral system ingredients. Previous studies have been categorised as either “knowledge-driven” or “data-driven” approaches depending on whether these grids are integrated via expert elicitation or by the empirical relationship to known mineralisation, respectively. However, to our knowledge, the underlying modelling framework and assumptions have not been systematically reviewed to understand how choices in the approach to the problem influence modelling outcomes. Here we show the broad mathematical equivalence in these approaches and highlight the limitations inherent when optimising to minimise misfit in potentially under-determined problems. We argue that advances in mineral prospectivity are more likely to be driven by careful consideration of the model selection problem. Focusing effort on model selection will not only drive more robust mineral prospectivity predictions but may also simultaneously refine our understanding of key mineral system processes. To build on these results, we present the Mineral Potential Toolkit; a software repository to facilitate feature engineering, statistical appraisal, and quantitative prospectivity modelling. The toolkit enables a novel approach that combines the best aspects of previous methods.
Abstract presented to the 26th World Mining Congress 2023 ( https://wmc2023.org/)
Simple
Identification info
- Date (Creation)
- 2022-10-18T18:00:00
- Date (Publication)
- 2024-02-15T01:54:06
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/147314
- Cited responsible party
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Role Organisation / Individual Name Details Publisher Commonwealth of Australia (Geoscience Australia)
Voice Author Haynes, M.
Internal Contact Author Adams, L.
External Contact Author Ford, A.
Internal Contact
- Name
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26th World Mining Congress 26-29 June 2023 Brisbane, Qld
- Purpose
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Full paper for the World Mining Congress 2023, Brisbane, Australia.
- Status
- Completed
- Point of contact
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Role Organisation / Individual Name Details Resource provider Minerals, Energy and Groundwater Division
External Contact Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Haynes, M.
Internal Contact
- Spatial representation type
- Topic category
-
- Geoscientific information
Extent
))
- Maintenance and update frequency
- Not planned
Resource format
- Title
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Product data repository: Various Formats
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Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- Project
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EFTF – Exploring for the Future
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- Project
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Mineral Potential Mapping
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- Keywords
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Prospectivity
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- Keywords
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Mineral potential
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- Keywords
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Inference
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- theme.ANZRC Fields of Research.rdf
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Earth system sciences
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- Keywords
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Published_External
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Resource constraints
- Title
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Creative Commons Attribution 4.0 International Licence
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CC-BY
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4.0
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Role Organisation / Individual Name Details User Any
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© World Mining Congress 2023
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Australian Government Security Classification System
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- 2018-11-01T00:00:00
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- Unclassified
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Australian Government Security Classification System
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- English
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- UTF8
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice facsimile
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Link to Conference Page
Link to Conference Page
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- OnLine resource
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Link to Conference Proceedings
Link to Conference Proceedings
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Resource lineage
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<div>Original manuscript.</div>
Metadata constraints
- Title
-
Australian Government Security Classification System
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
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urn:uuid/05ac424b-0684-4c18-b4e5-7e3a4b6c85fb
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GeoNetwork UUID
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Haynes, M.
Internal Contact
Type of resource
- Resource scope
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Journal Article / Conference Paper
Alternative metadata reference
- Title
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/147314
- Date info (Creation)
- 2024-02-15T01:48:11
- Date info (Revision)
- 2024-02-15T01:48:11
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
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Version 2.0, September 2018
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- http://pid.geoscience.gov.au/dataset/ga/122551