Prospectivity Mapping of Targets for Li-Bearing Pegmatites and Granites in Västernorrland, Sweden, with Fuzzy Logic and Random Forest Modeling

Key Points

• Lithium-bearing pegmatites were mapped effectively, enhancing exploration efficiency.
• Using random forest modeling, the analysis achieved an accuracy of 85% in predicting targets.
• The study employs fuzzy logic combined with machine learning to improve prediction reliability.
• Significant geographical areas for future exploration are highlighted, suggesting potential economic benefits.