Skip to main content

Computers as an Aid in Mineral-Resource Evaluation

  • Chapter
Computer Applications in the Earth Sciences

Part of the book series: Computer Applications in the Earth Sciences ((CAES))

Abstract

Separate flowcharts have been constructed for (1) some computer-based techniques for mineral-resource estimation; (2) different types of input for computer-based mineral-resource estimation and statistical exploration; and (3) quantification and analysis of geoscience map data. Several examples are presented to illustrate the geostatistical modeling of results obtained by image analysis, and the interpretation of probability index maps derived by multivariate statistical analysis of systematically quantified data on the geological framework of a region.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Agterberg, F.P., 1974, Geomathematics: Elsevier, Amsterdam, 596 p.

    Google Scholar 

  • Agterberg, F.P., 1975, Statistical models for regional occurrence of mineral deposits, in Schriften fur Operations Research und Datenverarbeitung im Bergbau 4: Gluckauf, Essen, p. C-1, 1–15.

    Google Scholar 

  • Agterberg, F.P., 1977, Frequency distributions and spatial variability of geological variables, in Proc. 14th Symp. Applications of Computer Methods in the Mineral Industry: Soc. Min. Eng. AIME, New York, p. 287–298.

    Google Scholar 

  • Agterberg, F.P., 1978, Quantification and statistical analysis of geological variables for mineral resource evaluation, in Sciences de la Terre et Mesures, Colloque Jean Goguel: Bur. Rech. Geol. Min. Memoire No. 91, p. 399–406.

    Google Scholar 

  • Agterberg, F.P., 1979, Mineral resource estimation and Statistical exploration, in Facts and Concepts of World Oil Occurrence: Can. Soc. Petr. Geol. Mem. 6, p. 301–318.

    Google Scholar 

  • Agterberg, F.P., in press, Cell value distribution models in spatial pattern analysis, in Future Trends of Geomathematics, J.C. Griffiths Volume: Pion, Ltd., London.

    Google Scholar 

  • Agterberg, F.P., and Cabilio, P., 1969, Two-stage least squares model for the relationship between mappable geological variables: Jour. Math. Geology, v. 1, no. 2, p. 137–153.

    Article  Google Scholar 

  • Agterberg, F.P., Chung, C.F., Fabbri, A.G., Kelly, A.M., and Springer, J.S., 1972, Geomathematical evaluation of copper and zinc potential of the Abitibi area, Ontario and Quebec: Geol. Survey Canada Paper 71-41, 55 p.

    Google Scholar 

  • Agterberg, F.P., and David, M., 1979, Statistical exploration, in Computer Methods for the 80’s: Soc. Min. Eng. AIME, New York, p. 90–115.

    Google Scholar 

  • Agterberg, F.P., and Fabbri, A.G., 1978, Spatial correlation of stratigraphic units quantified from geological maps: Computers & Geosciences, v. 4, no. 3, p. 285–294.

    Article  Google Scholar 

  • Botbol, J.M., Sinding-Larsen, R., McCammon, R.B., and Gott, G.B., 1978, A regionalized multivariate approach to target selection in geochemical exploration: Econ. Geology, v. 73, no. 4, p. 534–546.

    Article  Google Scholar 

  • Chung, C.F., and Agterberg, F.P., 1980, Regression models for estimating mineral resources from geological map data: Jour. Math. Geology, v. 12, no. 5, p. 473–488.

    Article  Google Scholar 

  • Divi, S.R., Thorpe, R.I., and Franklin, J.M., 1979, Application of discriminant analysis to evaluate compositional controls of stratiform massive sulfide deposits in Canada: Jour. Math. Geology, v. 11, no. 4, p. 391–406.

    Article  Google Scholar 

  • Duda, R.O., Hart, P.E., Konolige, K., and Reboh, R., 1979, A computer-based consultant for mineral exploration: Final Rpt. Project 6415, SRI International, Menlo Park, Cal., 185 p.

    Google Scholar 

  • Fabbri, A.G., and Kasvand, T., 1978, Picture processing of geological images: Geol. Survey Canada Paper 78-1B, p. 169–174.

    Google Scholar 

  • Findlay, D.C., and Walsh, J.H., 1979, Canadian applications in resource analysis: Resources Policy, March 1979, p. 61–70.

    Google Scholar 

  • Fisher, R.A., and Yates, F., 1963, Statistical tables for biological, agricultural and medical research (6th ed.): Hafner, New York, 145 p.

    Google Scholar 

  • Harris, D.C., in press, Mineral endowment — geostatistical theory and methods for appraisal: Paper prepared for Symposium on Methods for Broad Mineral Resource Appraisal, Univ. West Virginia, Main 1978, 85 p. (in press, Univ. West Virginia Press).

    Google Scholar 

  • Johnson, N.L., and Kotz, S., 1969, Distributions in statistics, discrete distributions: Houghton Mifflin, Boston, 328 p.

    Google Scholar 

  • Journel, A.G., and Huijbregts, Ch. J., 1978, Mining geostatistics: Academic Press, London, 600 p.

    Google Scholar 

  • Rundkvist, D.V., ed.-in-chief, 1979, Quantitative forecasting in regional metallogenic investigations: VSEGEI, Leningrad, 88 p. (in Russian).

    Google Scholar 

  • Schwarzacher, W., 1975, Sedimentation models and quantitative stratigraphy: Elsevier, Amsterdam, 382 p.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1981 Plenum Press, New York

About this chapter

Cite this chapter

Agterberg, F.P. (1981). Computers as an Aid in Mineral-Resource Evaluation. In: Merriam, D.F. (eds) Computer Applications in the Earth Sciences. Computer Applications in the Earth Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-7732-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-1-4684-7732-0_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-7734-4

  • Online ISBN: 978-1-4684-7732-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics