Global Mineral Resource Assessment-Aggregation of estimated numbers of undiscovered deposits-an R-script with an example from the Chu Sarysu Basin, Kazakhtan

Schuenemeyer, John H.; Zientek, Michael L.; Box, Stephen E.

Abstract:

Mineral resource assessments completed by the U.S. Geological Survey during the past three decades express geologically based estimates of numbers of undiscovered mineral deposits as probability distributions. Numbers of undiscovered deposits of a given type are estimated in geologically defined regions. Using Monte Carlo simulations, these undiscovered deposit estimates are combined with tonnage and grade models to derive a probability distribution describing amounts of commodities and rock that could be present in undiscovered deposits within a study area. In some situations, it is desirable to aggregate the assessment results from several study areas. This report provides a script developed in open-source statistical software, R, that aggregates undiscovered deposit estimates of a given type, assuming independence, total dependence, or some degree of correlation among aggregated areas, given a user-specified correlation matrix.

Genre:

USGS Numbered Series

ProdID:

70004887

Citation Author:

Schuenemeyer, John H.; Zientek, Michael L.; Box, Stephen E.

Citation Contributing Office:

Mineral Resources Program

Citation Datum:

Citation Day:

Citation Edition:

Citation Editor:

Citation End Page:

Citation Issue:

Citation Keywords:

Citation Language:

English

Citation Larger Work Title:

Citation LatN:

0490000

Citation LatS:

0430000

Citation LonE:

0730000

Citation LonW:

0660000

Citation Month:

Citation No Pagination:

Citation Number Of Pages:

Citation Online Only Flag:

Citation Phsyical Description:

vi, 6 p.; Appendices; Code package ZIP

Citation Projection:

Citation Public Comments:

This report is Chapter B of SIR 2010-5090. For other chapters see SIR 2010-5090 .

Citation Publisher:

U.S. Geological Survey

Citation Series:

Scientific Investigations Report

Citation Series Code:

SIR

Citation Series Number:

2010-5090-B

Citation Search Results Text:

Global Mineral Resource Assessment-Aggregation of estimated numbers of undiscovered deposits-an R-script with an example from the Chu Sarysu Basin, Kazakhtan; 2011; SIR; 2010-5090-B; Schuenemeyer, John H.; Zientek, Michael L.; Box, Stephen E.