Data-Driven Predictive Modeling of Mineral Prospectivity Using Random Forests: A Case Study in Catanduanes Island (Philippines)

标题
Data-Driven Predictive Modeling of Mineral Prospectivity Using Random Forests: A Case Study in Catanduanes Island (Philippines)
作者
关键词
Regression trees, Missing data, Hydrothermal Au–Cu deposits, Catanduanes (Philippines), GIS
出版物
Natural Resources Research
Volume 25, Issue 1, Pages 35-50
出版商
Springer Nature
发表日期
2015-05-13
DOI
10.1007/s11053-015-9268-x

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started