Multicomponent geospatial data for predictive mapping of Canadian critical minerals / M. Parsa, C.J.M. Lawley, E. Schetselaar, T. Martins, and A. Thompson.: M183-2/9270E-PDF
"National-scale mineral prospectivity maps help support land management and decision-making. The availability of open-source artificial intelligence tools with their advanced classification algorithms has transformed data-driven Mineral Prospectivity Mapping (MPM). However, MPM requires suitable input data to optimally leverage such classification algorithms. This report aims to bridge this data gap by releasing multicomponent geospatial data that facilitates pan-Canadian, multi-mineral systems MPM. …"--Introduction, page 1.
Permanent link to this Catalogue record:
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| Title | Multicomponent geospatial data for predictive mapping of Canadian critical minerals / M. Parsa, C.J.M. Lawley, E. Schetselaar, T. Martins, and A. Thompson. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Other language editions | [French] |
| Format | Digital text |
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| Description | 1 online resource (7 pages) : colour map. |
| ISBN | 9780660770321 |
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