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Lv, Xiumei; Wang, Gongwen (2024) GIS-based mineral prospectivity mapping using machine learning methods: A case study from Duobaoshan ore district, northeastern China. Ore Geology Reviews, 175. doi:10.1016/j.oregeorev.2024.106352

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Reference TypeJournal (article/letter/editorial)
TitleGIS-based mineral prospectivity mapping using machine learning methods: A case study from Duobaoshan ore district, northeastern China
JournalOre Geology Reviews
AuthorsLv, XiumeiAuthor
Wang, GongwenAuthor
Year2024 (December)Volume175
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2024.106352Search in ResearchGate
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Mindat Ref. ID17754710Long-form Identifiermindat:1:5:17754710:4
GUID0
Full ReferenceLv, Xiumei; Wang, Gongwen (2024) GIS-based mineral prospectivity mapping using machine learning methods: A case study from Duobaoshan ore district, northeastern China. Ore Geology Reviews, 175. doi:10.1016/j.oregeorev.2024.106352
Plain TextLv, Xiumei; Wang, Gongwen (2024) GIS-based mineral prospectivity mapping using machine learning methods: A case study from Duobaoshan ore district, northeastern China. Ore Geology Reviews, 175. doi:10.1016/j.oregeorev.2024.106352
In(2024) Ore Geology Reviews Vol. 175. Elsevier BV

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