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One-level prediction—A numerical method for estimating undiscovered metal endowment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.2113/gsecongeo.76.5.1032openalex-snapshot
Estimation of uranium endowment by subjective geological analysis; a comparison of methods and estimates for the San Juan Basin, New Mexico
inferredcites →https://doi.org/10.2113/gsecongeo.81.1.80openalex-snapshot
Quantitative estimation of undiscovered mineral resources; a case study of U. S. Forest Service wilderness tracts in the Pacific mountain system
inferredcites →https://doi.org/10.2113/gsecongeo.84.7.1936openalex-snapshot
Undiscovered lode tin resources of the Seward Peninsula, Alaska
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/bf02257540openalex-snapshot
Indicator favorability theory for mineral potential mapping
inferred← citeshttps://doi.org/10.1007/bf02286436openalex-snapshot
An integrated data-directed numerical method for estimating the undiscovered mineral endowment in a region
inferred← citeshttps://doi.org/10.1007/s00126-009-0250-6openalex-snapshot
Mapping of prospectivity and estimation of number of undiscovered prospects for lode gold, southwestern Ashanti Belt, Ghana
inferred← citeshttps://doi.org/10.1007/s11053-015-9286-8openalex-snapshot
Rank-Size Statistical Assessments of Undiscovered Gold Endowment in the Bendigo and Stawell Zones (Victoria) and the Mossman Orogen (Queensland), Australia: Comparison with Three-Part Assessment Results
inferred← citeshttps://doi.org/10.1007/s11053-018-9369-4openalex-snapshot
Natural Resources Research Publications on Resourcing Future Generations, and Introduction of Papers in this Special Issue
inferred← citeshttps://doi.org/10.1016/b978-0-08-041867-4.50014-xopenalex-snapshot
Tools for Map Analysis: Multiple Maps
inferred← citeshttps://doi.org/10.1016/j.cageo.2011.05.007openalex-snapshot
Mineral potential targeting and resource assessment based on 3D geological modeling in Luanchuan region, China
inferred← citeshttps://doi.org/10.1016/j.cageo.2011.11.009openalex-snapshot
Geocomputation of mineral exploration targets
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2010.02.003openalex-snapshot
Predictive mapping of prospectivity and quantitative estimation of undiscovered VMS deposits in Skellefte district (Sweden)
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2010.06.002openalex-snapshot
Introduction to the Special Issue: Mineral prospectivity analysis and quantitative resource estimation
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2018.01.010openalex-snapshot
Deposit density of tungsten polymetallic deposits in the eastern Nanling metallogenic belt, China
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2018.01.020openalex-snapshot
Entering an immature exploration search space: Assessment of the potential orogenic gold endowment of the Sandstone Greenstone Belt, Yilgarn Craton, by application of Zipf’s law and comparison with the adjacent Agnew Goldfield
inferred← citeshttps://doi.org/10.1016/j.oregeorev.2018.04.026openalex-snapshot
WITHDRAWN: Calcrete-hosted surficial uranium systems in Western Australia: Prospectivity modeling and quantitative estimates of resources Part 3 – Quantitative estimation of undiscovered resources
inferred← citeshttps://doi.org/10.1111/j.1751-3928.2010.00146.xopenalex-snapshot
From Predictive Mapping of Mineral Prospectivity to Quantitative Estimation of Number of Undiscovered Prospects
inferred← citeshttps://doi.org/10.1111/jpg.12674openalex-snapshot
A COMBINED DETERMINISTIC‐PROBABILISTIC METHOD OF ESTIMATING UNDISCOVERED HYDROCARBON RESOURCES
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