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Geospatial mapping of potential aggregate resources using integrated GIS-AHP, geotechnical, petrographic and machine learning approaches

Crossref DOI link: https://doi.org/10.1007/s12145-025-01794-0

Published Online: 2025-03-22

Published Print: 2025-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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