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User’s guide for MapMark4—An R package for the probability calculations in three-part mineral resource assessments

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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/bf01782266openalex-snapshot
Computer Monte Carlo simulation in quantitative resource estimation
inferredcites →https://doi.org/10.3133/tm7c15openalex-snapshot
Probability calculations for three-part mineral resource assessments

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11053-026-10652-9openalex-snapshot
Quantitative Mineral Resource Assessment of Lithium Pegmatite Deposits in the Northern Appalachian Orogen, USA
inferred← citeshttps://doi.org/10.1007/s11053-026-10689-wopenalex-snapshot
Quantitative Mineral Resource Assessment of Lithium Pegmatite Deposits in the Southern Appalachian Orogen
inferred← citeshttps://doi.org/10.1016/j.acags.2025.100240openalex-snapshot
Statistical approaches for modeling correlated grade and tonnage distributions and applications for mineral resource assessments
inferred← citeshttps://doi.org/10.1016/j.gexplo.2020.106700openalex-snapshot
Tungsten skarn potential of the Yukon-Tanana Upland, eastern Alaska, USA—A mineral resource assessment
inferred← citeshttps://doi.org/10.1016/j.gexplo.2020.106712openalex-snapshot
Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California
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/10.3133/tm7c15openalex-snapshot
Probability calculations for three-part mineral resource assessments
inferred← citeshttps://doi.org/10.3133/tm7c18openalex-snapshot
User’s guide for MapMark4GUI—A graphical user interface for the MapMark4 R package
inferred← citeshttps://doi.org/10.3133/tm7c21openalex-snapshot
User’s guide for Assessment Tract Aggregation GUI (ATA GUI)—A graphical user interface for the AggtEx.fn R script
inferred← citeshttps://doi.org/10.3133/tm7c23openalex-snapshot
Resource Assessment Economic Filter (RAEF)—A graphical user interface supporting implementation of simple engineering mine cost analyses of quantitative mineral resource assessment simulations
inferred← citeshttps://doi.org/10.3390/min12070856openalex-snapshot
Porphyry Copper: Revisiting Mineral Resource Assessment Predictions for the Andes
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
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