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Basic concepts in three-part quantitative assessments of undiscovered mineral resources
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Journal of The American Statistical Association
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Review of resource analysis and related studies: Working group, Mathematical Geology, freie Universität Berlin
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Computer Monte Carlo simulation in quantitative resource estimation
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Grade-tonnage and other models for diamond kimberlite pipes
inferredcites →https://doi.org/10.1007/bf02272805openalex-snapshot
Estimation of undiscovered deposits in quantitative mineral resource assessments—examples from Venezuela and Puerto Rico
inferredcites →https://doi.org/10.1007/bf02272806openalex-snapshot
Is there a metric for mineral deposit occurrence probabilities?
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Development of grade and tonnage models for different deposit types
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The American Statistician
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On the Probability of Winning a Football Game
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Probability Forecasting in Meteorology
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Method of Appraising Economic Prospects of Mining Exploration over Large Territories: Algerian Sahara Case Study
inferredcites →https://doi.org/10.1306/0bda5bf7-16bd-11d7-8645000102c1865dopenalex-snapshot
Economics of Drilling for Cretaceous Oil on East Flank of Denver-Julesburg Basin
inferredcites →https://doi.org/10.2113/gsecongeo.76.5.1006openalex-snapshot
A review of regional mineral resource assessment methods
inferredcites →https://doi.org/10.2113/gsecongeo.84.7.1936openalex-snapshot
Undiscovered lode tin resources of the Seward Peninsula, Alaska
inferredcites →https://doi.org/10.2113/gsecongeo.87.1.194openalex-snapshot
A quantitative link among mineral deposit modeling, geoscience mapping, and exploration-resource assessment
inferredcites →https://doi.org/10.2113/gsecongeo.87.4.1174openalex-snapshot
Predicting sizes of undiscovered mineral deposits; an example using mercury deposits in California
inferredcites →https://doi.org/10.2307/1423204openalex-snapshot
Representing and Reasoning with Probabilistic Knowledge: A Logical Approach to Probabilities
inferredcites →https://doi.org/10.3133/b2004openalex-snapshot
Developments in mineral deposit modeling
inferredcites →https://doi.org/10.3133/mf773copenalex-snapshot
Mineral resources map of the McCarthy Quadrangle, Alaska
inferredcites →https://doi.org/10.3133/ofr8389openalex-snapshot
Geologic and grade-tonnage information on volcanic-hosted copper-zinc-lead massive sulfide deposits
inferredcites →https://doi.org/10.3133/ofr92593openalex-snapshot
Industrial mineral deposit models; descriptive models for three lacustrine deposit types
inferredcites →https://doi.org/10.5860/choice.29-0350openalex-snapshot
Representing and reasoning with probabilistic knowledge: a logical approach to probabilities
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Basin analysis and mineral endowment of the Proterozoic Itajaí Basin, south‐east Brazil
inferred← citeshttps://doi.org/10.1080/25726838.2020.1783740openalex-snapshot
Predicting grade-tonnage characteristics of undiscovered mineralisation: application of the USGS Three-part Undiscovered Mineral Resource Assessment to the Sandstone Greenstone Belt of the Yilgarn Block, Western Australia
inferred← citeshttps://doi.org/10.1109/dbta.2009.145openalex-snapshot
Mineralization Information Mining from GIS Map & Attribution Database and Multi-sources Data Intergration
inferred← citeshttps://doi.org/10.1109/etcs.2009.392openalex-snapshot
Imaged Geological Map: A Quantitative Way to Express Geological Information
inferred← citeshttps://doi.org/10.1109/geoinformatics.2015.7378652openalex-snapshot
A predictive GIS model for mapping potential manganese mineralization in western Guangxi and southeastern Yunnan area, China
inferred← citeshttps://doi.org/10.1111/1755-6724.12782openalex-snapshot
Quantitative Geoscience and Geological Big Data Development: A Review
inferred← citeshttps://doi.org/10.1111/j.1751-3928.2010.00121.xopenalex-snapshot
Improved Wildcat Modelling of Mineral Prospectivity
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/j.1755-6724.2012.00695.xopenalex-snapshot
The Grade‐Tonnage Model for China's Molybdenum Deposits
inferred← citeshttps://doi.org/10.1130/g24317a.1openalex-snapshot
Earth's copper resources estimated from tectonic diffusion of porphyry copper deposits
inferred← citeshttps://doi.org/10.1144/geoenergy2023-016openalex-snapshot
A mining industry overview of cobalt in Finland: exploration, deposits and utilization
inferred← citeshttps://doi.org/10.1146/annurev.earth.28.1.669openalex-snapshot
Self-Ordering and Complexity in Epizonal Mineral Deposits
inferred← citeshttps://doi.org/10.1179/1743275811y.0000000020openalex-snapshot
Copper depletion in the Iberian Pyrite Belt: another indicator of global scarcity
inferred← citeshttps://doi.org/10.14264/158588openalex-snapshot
The spatial and temporal distribution of the metal mineralisation in Eastern Australia and the relationship of the observed patterns to giant ore deposits
inferred← citeshttps://doi.org/10.1504/ijex.2008.020824openalex-snapshot
Exergy cost of mineral resources
inferred← citeshttps://doi.org/10.17159/2411-9717/1262/2022openalex-snapshot
Evaluating the potential drilling success of exploration programmes using a three-dimensional geological model - A case study
inferred← citeshttps://doi.org/10.18174/121814openalex-snapshot
Sampling scheme optimization from hyperspectral data
inferred← citeshttps://doi.org/10.21000/jasmr06020703openalex-snapshot
APPLICATIONS OF A GLOBAL MINERAL-RESOURCE ASSESSMENT FOR ADDRESSING ISSUES OF SUSTAINABLE MINERAL RESOURCE DEVELOPMENT
inferred← citeshttps://doi.org/10.2113/econgeo.108.5.1163openalex-snapshot
A Detailed Assessment of Global Cu Resource Trends and Endowments
inferred← citeshttps://doi.org/10.2113/econgeo.108.5.1185openalex-snapshot
HIDDEN MINERAL DEPOSITS IN Cu-DOMINATED PORPHYRY-SKARN SYSTEMS: HOW RESOURCE REPORTING CAN OCCLUDE IMPORTANT MINERALIZATION TYPES WITHIN MINING CAMPS
inferred← citeshttps://doi.org/10.2113/econgeo.109.7.1813openalex-snapshot
A Detailed Assessment of Global Nickel Resource Trends and Endowments
inferred← citeshttps://doi.org/10.2113/gsecongeo.103.3.615openalex-snapshot
Revisiting the Cumulative Grade-Tonnage Relationship for Major Copper Ore Types
inferred← citeshttps://doi.org/10.2113/gsecongeo.103.4.829openalex-snapshot
Linking Mineral Deposit Models to Quantitative Risk Analysis and Decision-Making in Exploration
inferred← citeshttps://doi.org/10.2172/1809028openalex-snapshot
Towards A Geo-Data Science Method for Assessing Rare Earth Element and Critical Mineral Occurrences in Coal and Other Sedimentary Systems
inferred← citeshttps://doi.org/10.2473/shigentosozai.120.119openalex-snapshot
Copper Metallogenic Districts and Their Geological Characteristics in China
inferred← citeshttps://doi.org/10.2478/amsc-2013-0003openalex-snapshot
Integration of Stream Sediment Geochemical and Aster Data for Porphyry Copper Deposit Exploration in Khatun Abad, North West of Iran / Integracja geochemicznych danych o osadach dennych oraz danych pozyskanych z systemu aster do poszukiwań geologicznych w rejonie złóż miedzi porfirytowej w khatun…
inferred← citeshttps://doi.org/10.3133/b2209mopenalex-snapshot
Modeling cape- and ridge-associated marine sand deposits: A focus on the U.S. Atlantic Continental Shelf
inferred← citeshttps://doi.org/10.3133/cir1290openalex-snapshot
USGS science in Menlo Park -- a science strategy for the U.S. Geological Survey Menlo Park Science Center, 2005-2015
inferred← citeshttps://doi.org/10.3133/ofr01501openalex-snapshot
Assessment method for epithermal gold deposits in northeast Washington State using weights-of-evidence GIS modeling
inferred← citeshttps://doi.org/10.3133/ofr20041245openalex-snapshot
Spatial databases of the Humboldt Basin mineral resource assessment, northern Nevada
inferred← citeshttps://doi.org/10.3133/ofr20071005openalex-snapshot
Preliminary Mineral Resource Assessment of Selected Mineral Deposit Types in Afghanistan
inferred← citeshttps://doi.org/10.3133/ofr20071046openalex-snapshot
Geologic Mapping and Mineral Resource Assessment of the Healy and Talkeetna Mountains Quadrangles, Alaska Using Minimal Cloud- and Snow-Cover ASTER Data
inferred← citeshttps://doi.org/10.3133/ofr20071101openalex-snapshot
A compilation of spatial digital databases for selected U.S. Geological Survey nonfuel mineral resource assessments for parts of Idaho and Montana
inferred← citeshttps://doi.org/10.3133/ofr20071286openalex-snapshot
Geoscience for Alaska's D-1 lands: A preliminary report
inferred← citeshttps://doi.org/10.3133/ofr20071434openalex-snapshot
Short Course Introduction to Quantitative Mineral Resource Assessments
inferred← citeshttps://doi.org/10.3133/ofr20091045openalex-snapshot
An Index to PGE-Ni-Cr Deposits and Occurrences in Selected Mineral-Occurrence Databases
inferred← citeshttps://doi.org/10.3133/ofr20091235openalex-snapshot
A New Occurrence Model for National Assessment of Undiscovered Volcanogenic Massive Sulfide Deposits
inferred← citeshttps://doi.org/10.3133/ofr20101179openalex-snapshot
Magmatic sulfide-rich nickel-copper deposits related to picrite and (or) tholeiitic basalt dike-sill complexes: A preliminary deposit model
inferred← citeshttps://doi.org/10.3133/ofr20111283openalex-snapshot
Deposit model for closed-basin potash-bearing brines
inferred← citeshttps://doi.org/10.3133/ofr94158openalex-snapshot
Remote sensing and airborne geophysics in the assessment of natural aggregate resources
inferred← citeshttps://doi.org/10.3133/ofr94272openalex-snapshot
Mineral resource assessment of the Chugach National Forest special study area in northern Prince William Sound, Alaska
inferred← citeshttps://doi.org/10.3133/ofr94712openalex-snapshot
Resource assessment of the Bureau of Land Management's Winnemucca District and Surprise Resource Area, Northwest Nevada and Northeast California
inferred← citeshttps://doi.org/10.3133/ofr95681openalex-snapshot
Digital mineral resource maps of phosphate and natural aggregate for the Pacific Northwest: A contribution to the Interior Columbia River Basin Ecosystem Management Project
inferred← citeshttps://doi.org/10.3133/ofr97484bopenalex-snapshot
Map showing mineral resource potential of the Livengood Quadrangle, Alaska
inferred← citeshttps://doi.org/10.3133/ofr98583openalex-snapshot
Grade and tonnage models for Coeur d'Alene-type polymetallic veins
inferred← citeshttps://doi.org/10.3133/sir20055231openalex-snapshot
Stratabound copper-silver deposits of the Mesoproterozoic Revett Formation, Montana and Idaho, with a section on databases and spatial-data files for the geology and mineral deposits of the Revett Formation
inferred← citeshttps://doi.org/10.3133/sir20055272openalex-snapshot
A tectonic model for the spatial occurrence of porphyry copper and polymetallic vein deposits - applications to Central Europe
inferred← citeshttps://doi.org/10.3133/sir20075039openalex-snapshot
Undiscovered locatable mineral resources in the Bay Resource Management Plan Area, southwestern Alaska: A probabilistic assessment
inferred← citeshttps://doi.org/10.3133/sir20105070iopenalex-snapshot
Occurrence model for magmatic sulfide-rich nickel-copper-(platinum-group element) deposits related to mafic and ultramafic dike-sill complexes
inferred← citeshttps://doi.org/10.3133/sir20105070iiopenalex-snapshot
Occurrence model for magmatic sulfide-rich nickel-copper-(platinum-group element) deposits related to mafic and ultramafic dike-sill complexes: Chapter I inMineral deposit models for resource assessment
inferred← citeshttps://doi.org/10.3133/sir20105090jopenalex-snapshot
Descriptive models, grade-tonnage relations, and databases for the assessment of sediment-hosted copper deposits: with emphasis on deposits in the Central Africa Copperbelt, Democratic Republic of the Congo and Zambia: Chapter J in Global mineral resource assessment
inferred← citeshttps://doi.org/10.3133/sir20105090qopenalex-snapshot
Platinum-group elements in southern Africa: mineral inventory and an assessment of undiscovered mineral resources
inferred← citeshttps://doi.org/10.3133/sir20105090ropenalex-snapshot
Sandstone copper assessment of the Teniz Basin, Kazakhstan
inferred← citeshttps://doi.org/10.3133/sir20185104openalex-snapshot
Conceptual framework and approach for conducting a geoenvironmental assessment of undiscovered uranium resources
inferred← citeshttps://doi.org/10.3133/sir20185149openalex-snapshot
Effect of size-biased sampling on resource predictions from the three-part method for quantitative mineral resource assessment—A case study of the gold mines in the Timmins-Kirkland Lake area of the Abitibi greenstone belt, Canada:
inferred← citeshttps://doi.org/10.3133/sir20205085openalex-snapshot
Grade and tonnage model for tungsten skarn deposits—2020 update
inferred← citeshttps://doi.org/10.3390/min12070856openalex-snapshot
Porphyry Copper: Revisiting Mineral Resource Assessment Predictions for the Andes
inferred← citeshttps://doi.org/10.3390/min13101302openalex-snapshot
Prediction of Au-Polymetallic Deposits Based on Spatial Multi-Layer Information Fusion by Random Forest Model in the Central Kunlun Area of Xinjiang, China
inferred← citeshttps://doi.org/10.3390/min14101021openalex-snapshot
A Review of Mineral Prospectivity Mapping Using Deep Learning
inferred← citeshttps://doi.org/10.3390/min14121240openalex-snapshot
Tungsten Skarn Quantitative Mineral Resource Assessment and Gold, Rare Earth Elements, Graphite, and Uranium Qualitative Assessments of the Kuldjuktau and Auminzatau Ranges, in the Central Kyzylkum Region, Uzbekistan
inferred← citeshttps://doi.org/10.3724/j.issn.1007-2802.20260124openalex-snapshot
Methods and practices for quantitative prediction of mineral resources under the challenge of Few-Shot Learning: A case study of the Lhasa area, Xizang, China
inferred← citeshttps://doi.org/10.3847/psj/adbc6copenalex-snapshot
Prospectivity Modeling of the NASA VIPER Landing Site at Mons Mouton near the Lunar South Pole
inferred← citeshttps://doi.org/10.3990/1.9789036557887openalex-snapshot
Quantitative models for porphyry copper exploration
inferred← citeshttps://doi.org/10.4028/www.scientific.net/amr.524-527.241openalex-snapshot
Three-Dimensional Geological Modeling and Quantitative Analysis for Geological Ore-Controlling Factors in Fenghuangshan Copper Ore Field
inferred← citeshttps://doi.org/10.5194/gmd-19-2593-2026openalex-snapshot
DEEP-SEAM: an explainable semi-supervised deep learning framework for mineral prospectivity mapping
inferred← citeshttps://doi.org/10.5382/econgeo.4675openalex-snapshot
Porphyry Copper Potential of the United States Southern Basin and Range Using ASTER Data Integrated with Geochemical and Geologic Datasets to Assess Potential Near-Surface Deposits in Well-Explored Permissive Tracts
inferred← citeshttps://doi.org/10.5382/segnews.2007-71.feaopenalex-snapshot
A Preliminary Quantitative Mineral Resource Assessment of Undiscovered Porphyry Copper Resources in the Andes Mountains of South America
inferred← citeshttps://doi.org/10.5382/sp.12.05openalex-snapshot
Costs, Risks, and Returns of Copper Exploration
inferred← citeshttps://doi.org/10.9708/jksci.2015.20.12.091openalex-snapshot
GIS-based Metallogenic Prognosis of Lead-Zinc Deposits in China
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