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Zhang, Daojun, Agterberg, Frits, Cheng, Qiuming, Zuo, Renguang (2014) A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity. Mathematical Geosciences, 46 (7). 869-885 doi:10.1007/s11004-013-9496-8

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Reference TypeJournal (article/letter/editorial)
TitleA Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity
JournalMathematical Geosciences
AuthorsZhang, DaojunAuthor
Agterberg, FritsAuthor
Cheng, QiumingAuthor
Zuo, RenguangAuthor
Year2014 (October)Volume46
Issue7
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s11004-013-9496-8Search in ResearchGate
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Mindat Ref. ID9286856Long-form Identifiermindat:1:5:9286856:4
GUID0
Full ReferenceZhang, Daojun, Agterberg, Frits, Cheng, Qiuming, Zuo, Renguang (2014) A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity. Mathematical Geosciences, 46 (7). 869-885 doi:10.1007/s11004-013-9496-8
Plain TextZhang, Daojun, Agterberg, Frits, Cheng, Qiuming, Zuo, Renguang (2014) A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity. Mathematical Geosciences, 46 (7). 869-885 doi:10.1007/s11004-013-9496-8
In(2014, October) Mathematical Geosciences Vol. 46 (7) Springer Science and Business Media LLC

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Schaeben, Helmut (2014) Comment on “A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity” by Daojun Zhang, Frits Agterberg, Qiuming Cheng, and Renguang Zuo Math Geosci DOI 10.1007/s11004-013-9496-8. Mathematical Geosciences, 46 (7). 887-893 doi:10.1007/s11004-014-9544-z
Zhang, Daojun, Agterberg, Frits, Cheng, Qiuming, Zuo, Renguang (2014) Response to comment by Helmut Schaeben on “A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity”. Mathematical Geosciences, 46 (7). 895-900 doi:10.1007/s11004-014-9565-7
Schaeben, Helmut (2014) A Mathematical View of Weights-of-Evidence, Conditional Independence, and Logistic Regression in Terms of Markov Random Fields. Mathematical Geosciences, 46 (6). 691-709 doi:10.1007/s11004-013-9513-y
Zhang, ZhenJie, Zuo, RenGuang, Xiong, YiHui (2016) A comparative study of fuzzy weights of evidence and random forests for mapping mineral prospectivity for skarn-type Fe deposits in the southwestern Fujian metallogenic belt, China. Science China Earth Sciences, 59 (3) 556-572 doi:10.1007/s11430-015-5178-3
Zuo, Renguang; Cheng, Qiuming; Agterberg, Frederik P. (2009) Application of a hybrid method combining multilevel fuzzy comprehensive evaluation with asymmetric fuzzy relation analysis to mapping prospectivity. Ore Geology Reviews, 35 (1). doi:10.1016/j.oregeorev.2008.11.004
Zuo, Renguang, Cheng, Qiuming, Xia, Qinglin, Agterberg, F. P. (2009) Application of Fractal Models to Distinguish between Different Mineral Phases. Mathematical Geosciences, 41 (1). 71-80 doi:10.1007/s11004-008-9191-3
Agterberg, Frits (2011) A Modified Weights-of-Evidence Method for Regional Mineral Resource Estimation. Natural Resources Research, 20 (2) 95-101 doi:10.1007/s11053-011-9138-0
Cheng, Qiuming (2015) BoostWofE: A New Sequential Weights of Evidence Model Reducing the Effect of Conditional Dependency. Mathematical Geosciences, 47 (5). 591-621 doi:10.1007/s11004-014-9578-2
Xiong, Yihui, Zuo, Renguang (2018) GIS-based rare events logistic regression for mineral prospectivity mapping. Computers & Geosciences, 111. 18-25 doi:10.1016/j.cageo.2017.10.005
Zhao, Jiangnan, Sui, Yu, Zhang, Zongyao, Zhou, Mi (2023) Application of Logistic Regression and Weights of Evidence Methods for Mapping Volcanic-Type Uranium Prospectivity. Minerals, 13 (5) 608 doi:10.3390/min13050608
Zhao, Jiangnan, Yu Sui, Zongyao Zhang, and Mi Zhou. (2023) "Application of Logistic Regression and Weights of Evidence Methods for Mapping Volcanic-Type Uranium Prospectivity" Minerals 13, no. 5: 608. https://doi.org/10.3390/min13050608
 
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