Computers as an Aid in Mineral-Resource Evaluation

  • Frederik P. Agterberg
Part of the Computer Applications in the Earth Sciences book series (CAES)


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.


Mineral Deposit Control Area Multivariate Statistical Analysis Statistical Exploration Geostatistical Modeling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Agterberg, F.P., 1974, Geomathematics: Elsevier, Amsterdam, 596 p.Google Scholar
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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.CrossRefGoogle Scholar
  8. 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
  9. 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
  10. 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.CrossRefGoogle Scholar
  11. 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.CrossRefGoogle Scholar
  12. 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.CrossRefGoogle Scholar
  13. 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.CrossRefGoogle Scholar
  14. 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
  15. Fabbri, A.G., and Kasvand, T., 1978, Picture processing of geological images: Geol. Survey Canada Paper 78-1B, p. 169–174.Google Scholar
  16. Findlay, D.C., and Walsh, J.H., 1979, Canadian applications in resource analysis: Resources Policy, March 1979, p. 61–70.Google Scholar
  17. Fisher, R.A., and Yates, F., 1963, Statistical tables for biological, agricultural and medical research (6th ed.): Hafner, New York, 145 p.Google Scholar
  18. 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
  19. Johnson, N.L., and Kotz, S., 1969, Distributions in statistics, discrete distributions: Houghton Mifflin, Boston, 328 p.Google Scholar
  20. Journel, A.G., and Huijbregts, Ch. J., 1978, Mining geostatistics: Academic Press, London, 600 p.Google Scholar
  21. Rundkvist, D.V., ed.-in-chief, 1979, Quantitative forecasting in regional metallogenic investigations: VSEGEI, Leningrad, 88 p. (in Russian).Google Scholar
  22. Schwarzacher, W., 1975, Sedimentation models and quantitative stratigraphy: Elsevier, Amsterdam, 382 p.Google Scholar

Copyright information

© Plenum Press, New York 1981

Authors and Affiliations

  • Frederik P. Agterberg
    • 1
  1. 1.Geological Survey of CanadaCanada

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