Towards a fully data-driven prospectivity mapping methodology: A case study of the Southeastern Churchill Province, Québec and Labrador-Reference-Cited by-同舟云学术

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Towards a fully data-driven prospectivity mapping methodology: A case study of the Southeastern Churchill Province, Québec and Labrador

Published:2021-12 Issue: Volume:2 Page:128-147
ISSN:2666-5441
Container-title:Artificial Intelligence in Geosciences
language:en
Short-container-title:Artificial Intelligence in Geosciences

Author:

Zhang Steven E.^ORCID,Bourdeau Julie E.,Nwaila Glen T.,Corrigan David^ORCID

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Mechanical Engineering,Energy Engineering and Power Technology

Reference80 articles.

1. The statistical analysis of compositional data;Aitchison;J. R. Stat. Soc. Series B.,1982

2. Catchment analysis of re-analyzed regional stream sediment geochemical data from the Yukon;Arne;Explore,2018

3. REEs: a review of applications, occurrence, exploration, analysis, recycling, and environmental impact;Balaram;Geosci. Front.,2019

4. Glacial dispersal from the Strange Lake alkalic complex, northern Labrador;Batterson,1989

5. Geographic Information Systems for Geoscientists: Modeling with GIS;Bonham-Carter,1994

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5. Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches;2023 34th Conference of Open Innovations Association (FRUCT);2023-11-15

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