Predictive model of graphite

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.

Data and Resources

Additional Info

Field	Value
Last Updated	April 17, 2026, 18:41 (UTC)
Created	April 17, 2026, 18:41 (UTC)
contact_email	nrcan.gsc-geosciencedata-donneesgeoscience-cgc.rncan@canada.ca
contact_person	{"en": "Government of Canada; Natural Resources Canada; Geological Survey of Canada,nrcan.gsc-geosciencedata-donneesgeoscience-cgc.rncan@canada.ca", "fr": "Gouvernement du Canada; Ressources naturelles Canada; Commission géologique du Canada,nrcan.gsc-geosciencedata-donneesgeoscience-cgc.rncan@canada.ca"}
criticality_level	[]
data_dictionary	EPSG:4326,http://www.epsg-registry.org/,6.14
geographic_scope	[]
open_canada_collection	fgp
open_canada_date_published	2025-03-31 00:00:00
open_canada_keywords	{"en": ["commodity", "deposit", "resource assessment", "showing", "critical mineral", "advanced project", "prospect", "Geological maps", "Minerals"], "fr": ["commodité", "dépôt", "évaluation des ressources", "indice", "minéral critique", "projet avancé", "prospect", "Carte géologique", "Minerai"]}
open_canada_subject	["form_descriptors", "nature_and_environment", "science_and_technology"]
sensitivity_level	unrestricted
title_fr	Modèle prédictif du graphite
update_frequency	as_needed