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Automatic contouring of geological maps to detect target areas for mineral exploration
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/bf02048558openalex-snapshot
Two-stage least-squares model for the relationship between mappable geological variables
inferredcites →https://doi.org/10.1080/00401706.1967.10490452openalex-snapshot
Applied Regression Analysis
inferredcites →https://doi.org/10.1080/00401706.1973.10489024openalex-snapshot
Principles of Econometrics
inferredcites →https://doi.org/10.1080/01621459.1970.10481110openalex-snapshot
A Stochastic Model for Determining the Economic Prospects of Petroleum Exploration Over Large Regions
inferredcites →https://doi.org/10.1093/biomet/54.1-2.167openalex-snapshot
Estimation of the Probability of an Event as a Function of Several Independent Variables
inferredcites →https://doi.org/10.1287/mnsc.3.4.285openalex-snapshot
Method of Appraising Economic Prospects of Mining Exploration over Large Territories: Algerian Sahara Case Study
inferredcites →https://doi.org/10.1287/opre.14.2.189openalex-snapshot
Exploration for Natural Resources
inferredcites →https://doi.org/10.2113/gsecongeo.65.8.998openalex-snapshot
Multiple regression as a method of estimating exploration potential in an area near terrace, b.c
inferredcites →https://doi.org/10.2113/gsecongeo.66.3.466openalex-snapshot
A probabilistic appraisal of mineral resources in a portion of the Grenville Province of the Canadian shield
inferredcites →https://doi.org/10.2307/1391399openalex-snapshot
An Introduction to Multivariate Statistical Analysis
inferredcites →https://doi.org/10.2307/1401452openalex-snapshot
Statistical Tables for Biological, Agricultural and Medical Research
inferredcites →https://doi.org/10.2307/2280633openalex-snapshot
Statistical Tables for Biological, Agricultural and Medical Research.
inferredcites →https://doi.org/10.2307/2308777openalex-snapshot
Introduction to Multivariate Statistical Analysis.
inferredcites →https://doi.org/10.2307/2986618openalex-snapshot
An Introduction to Multivariate Statistical Analysis.
inferredcites →https://doi.org/10.4095/102407openalex-snapshot
Geomathematical evaluation of copper and zinc potential of the Abitibi area, Ontario and Quebec
inferredcites →https://doi.org/10.4095/106142openalex-snapshot
Geology and economic minerals of Canada
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/978-1-4684-1230-7_1openalex-snapshot
Optimizing Mineral Exploration
inferred← citeshttps://doi.org/10.1007/978-3-319-06874-9_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-78999-6_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12145-021-00709-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12145-025-02015-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12583-023-1822-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0097-8493(78)90011-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/0098-3004(89)90026-5openalex-snapshot
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Combining numerical modeling and machine learning to predict mineral prospectivity: A case study from the Fankou Pb–Zn deposit, southern China
inferred← citeshttps://doi.org/10.1016/j.cageo.2004.07.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.oregeorev.2010.06.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.oregeorev.2014.08.012openalex-snapshot
Mineral potential mapping with a restricted Boltzmann machine
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.04.017openalex-snapshot
Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.11.011openalex-snapshot
A prospecting cost-benefit strategy for mineral potential mapping based on ROC curve analysis
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2015.12.005openalex-snapshot
Mapping mineral prospectivity for Cu polymetallic mineralization in southwest Fujian Province, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2016.06.033openalex-snapshot
Mapping mineral prospectivity using an extreme learning machine regression
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inferred← citeshttps://doi.org/10.1016/j.spasta.2017.03.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1046/j.1440-0952.2000.00807.xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00949655.2012.755976openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/08120090701581356openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/ifs-151967openalex-snapshot
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inferred← citeshttps://doi.org/10.32469/10355/96967openalex-snapshot
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inferred← citeshttps://doi.org/10.4310/sii.2012.v5.n2.a7openalex-snapshot
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