Other|
April 01, 1998
Practical quality control procedures in mineral inventory estimation
Scott D. Long
Scott D. Long
Mineral Resources Development, San Mateo, CA, United States
Search for other works by this author on:
Exploration and Mining Geology (1998) 7 (1-2): 117–127.
Article history
first online:
02 Mar 2017
Citation
Scott D. Long; Practical quality control procedures in mineral inventory estimation. Exploration and Mining Geology 1998;; 7 (1-2): 117–127. doi:
Download citation file:
data&figures
Data & Figures
contents
Contents
georef
GeoRef
supplements
Supplements
references
References
related
Related
Data & Figures
Contents
GeoRef
Index Terms/Descriptors
Supplements
References
Related
Citing articles via
Email alerts
Related Articles
G-BASE: baseline geochemical mapping of Great Britain and Northern Ireland
Geochemistry: Exploration, Environment, Analysis
Sampling quality control
Exploration and Mining Geology
Exploratory data analysis; a precursor to resource/reserve estimation
Exploration and Mining Geology
R – Goldschmidt Abstracts 2013
Mineralogical Magazine
T – Goldschmidt Abstracts 2013
Mineralogical Magazine
Management of Large Seismic Datasets: II. Data Center-type Operation
Seismological Research Letters
Related Book Content
Virtual fieldwork in geoscience teacher education: Issues, techniques, and models
Google Earth and Virtual Visualizations in Geoscience Education and Research
A geology-focused virtual field trip to Tenerife, Spain
Google Earth and Virtual Visualizations in Geoscience Education and Research
Managing scientific data: From data integration to scientific workflows*
Geoinformatics: Data to Knowledge
Development of ontologies for earth system science
Geoinformatics: Data to Knowledge
U.S. Geological Survey assessment of global potash production and resources—A significant advancement for global development and a sustainable future
Geoscience for the Public Good and Global Development: Toward a Sustainable Future
Conclusion: recommendations and findings of the RED SEED working group
Detecting, Modelling and Responding to Effusive Eruptions