Quantifying uncertainty and improving prospectivity mapping in mineral belts using transfer learning and Random Forest: A case study of copper mineralization in the Superior Craton Province, Quebec, Canada

• Published in: Ore geology reviews Vol. 166; p. 105918
• Main Authors: Lauzon, Dany, Gloaguen, Erwan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2024
• Subjects: Data integration; Mineral belts in the Superior Craton Province; Mineral prospectivity mapping; Quantification of uncertainty; Transfer learning; Mineral prospectivity mapping; Mineral belts in the Superior Craton Province; Transfer learning; Quantification of uncertainty; Data integration

Left) Geological provinces of Quebec, Canada, and subprovinces of the Superior Province (pink units). The labelled black rectangles show the five study areas within the Superior Province. Right) Regional geological maps, fault locations (black lines), and copper occurrences (orange symbols) of the s...