Predictive model of Li-Cs-Ta pegmatite deposits

Description

This model is derived from geological and geophysical data, which is processed using deep learning and natural language processing techniques. Displayed is a Pan-Canadian probability map indicating the likelihood of discovering next-generation lithium-cesium-tantalum (LCT) pegmatites. This map was generated using known Canadian LCT pegmatites and their associated geospatial features, incorporating geological and geophysical data analyzed through deep learning and natural language processing techniques. Higher probability values highlight areas with an increased likelihood of hosting next-generation deposits, making this map a valuable tool for decision-making.

Resources

Name Format Description Link
Predictive model of Li-Cs-Ta pegmatite deposits - Associated publication - English PDF Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - Associated publication - French PDF Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - French HTML Open resource
Modèle prédictif des pegmatites Li-Cs-Ta - Anglais HTML Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - Dataset download - English Unknown Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - Dataset download - French Unknown Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - Legend file (for gpkg) - English Unknown Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - Legend file (for gpkg) - French Unknown Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - ESRI REST Service - English Ersi REST Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - ESRI REST Service - French Ersi REST Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - WMS Service - English WMS Open resource
Predictive model of Li-Cs-Ta pegmatite deposits - WMS Service - French WMS Open resource

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