00000cam 2200000zi 4500 9.950464 CaOODSP 20260918110233 m o d f cr cn||||||||| 250425t20262026oncb ob f000 0 eng d 9780660770321 CaOODSP eng rda CaOODSP n-cn--- M183-2/9270E-PDF Parsa, M., author. Multicomponent geospatial data for predictive mapping of Canadian critical minerals / M. Parsa, C.J.M. Lawley, E. Schetselaar, T. Martins, and A. Thompson. [Ottawa] : Natural Resources Canada = Ressources naturelles Canada, 2026. ©2026 1 online resource (7 pages) : colour map. text txt rdacontent computer c rdamedia online resource cr rdacarrier Geological Survey of Canada open file, 2816-7155 ; 9270e Issued also in French under title: Données géospatiales à composantes multiples pour la cartographie prédictive des minéraux critiques canadiens. Includes bibliographical references (page 7). "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. Mines and mineral resources Canada Maps Data processing. Geospatial data Canada. Geological Survey of Canada, issuing body. Données géospatiales à composantes multiples pour la cartographie prédictive des minéraux critiques canadiens / (CaOODSP)9.958874 Open file (Geological Survey of Canada) 2816-7155 ; 9270e. (CaOODSP)9.506878 PDF 2.66 MB https://publications.gc.ca/collections/collection_2026/rncan-nrcan/m183-2/M183-2-9270-eng.pdf Open file report HTML N/A https://doi.org/10.4095/p80q4bhma6 Complete dataset