Description
This model is derived from geological, geophysical and other forms of geodata. Feature extraction used deep learning. Predictive modelling made use of the deep ensemble method. Displayed is a Pan-Canadian probability map of mineral potential of graphite. This map was generated using known graphite deposits and occurrences and their associated features. Higher probability values highlight areas with an increased probability of graphite mineral systems.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Predictive model of graphite - Associated publication - English | Open resource | ||
| Predictive model of graphite - Associated publication - French | Open resource | ||
| Predictive model of graphite - French | HTML | Open resource | |
| Modèle prédictif du graphite - Anglais | HTML | Open resource | |
| Predictive model of graphite - Dataset Download - French | Unknown | Open resource | |
| Predictive model of graphite - Dataset Download - English | Unknown | Open resource | |
| Predictive model of graphite - Legend dataset - French | Unknown | Open resource | |
| Predictive model of graphite - Legend dataset - English | Unknown | Open resource | |
| Predictive model of graphite - ESRI Web Service - English | Ersi REST | Open resource | |
| Predictive model of graphite - ESRI Web Service - French | Ersi REST | Open resource | |
| Predictive model of graphite - WMS Service - English | WMS | Open resource | |
| Predictive model of graphite - WMS Service - French | WMS | Open resource |