Skip to main content
SpringerLink
Log in

Combining indicator patterns in weights of evidence modeling for resource evaluation

  • Articles
  • Published:
Nonrenewable Resources Aims and scope Submit manuscript

Abstract

The weights of evidence model for combining indicator patterns in mineral resource evaluation is briefly explained with emphasis on the effect of undiscovered deposits on the estimation of the weights and posterior probabilities. A group of six statistical tests is proposed for analyzing the interaction of two or three indicator patterns with the point pattern for mineral deposits. A distinction is made between statistics that depend on choice of unit cell size and those that are approximately or completely independent of it. Finally, weights of evidence are compared to regression coefficients obtained by means of the logistic model.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Agterberg, F.P., 1974, Automatic contouring of geological maps to detect target areas for mineral exploration: Mathematical Geology, v. 6, no. 4, p. 373–395.

    Google Scholar 

  • —— 1989a, Computer programs for mineral exploration: Science, v. 245, p. 76–81.

    Google Scholar 

  • —— 1989b, LOGDIA-FORTRAN 77 program for logistic regression with diagnostics: Computers & Geosciences, v. 15, no. 4, p. 599–614.

    Google Scholar 

  • —— 1989c, Systematic approach to dealing with uncertainty of geoscience information in mineral exploration,in Weiss, A., ed., Application of computers and operations research in the mineral industry, Proceedings 21st APCOM Symposium, Las Vegas, Nevada, February 1989: Littleton, Colorado, Society of Mining Engineers, p. 165–178 (chapter 18).

    Google Scholar 

  • -- in press, Estimating the probability of occurrence of mineral deposits from multiple map patterns,in Merriam, D.F. and Kürzl, H., eds., Use of microcomputers in geology: New York, Plenum.

  • Agterberg, F.P., and Bonham-Carter, G.F., 1990, Deriving weights of evidence from geoscience contour maps for the prediction of discrete events,in Proceedings 22d APCOM Symposium, Berlin, September 1990: Techn. Univ. Berlin, v. 2, p. 381–396.

    Google Scholar 

  • Agterberg, F.P., Bonham-Carter, G.F., and Wright, D.F., 1990, Statistical pattern integration for mineral exploration,in Gaál, G., and Merriam, D.F., eds., Computer applications in resource exploration prediction and assessment for metals and petroleum: Oxford, Pergamon, p. 1–21.

    Google Scholar 

  • Andersen, E.B., 1990, The statistical analysis of categorical data: Berlin, Springer-Verlag, 523 p.

    Google Scholar 

  • Bishop, M.M., Fienberg, S.E., and Holland, P.W., 1975, Discrete multivariate analysis—Theory and practice: Cambridge, Mass., MIT Press, 587 p.

    Google Scholar 

  • Bonham-Carter, G.F., 1991, Spatial data integration of geoscientific maps using GIS,in McGuire, D.J., Goodchild, M.F., and Rhind, D.W., eds., Geographic information systems: principles and applications, v. 2: London, Longmans, p. 171–184.

    Google Scholar 

  • Bonham-Carter, G.F., and Agterberg, F.P., 1990, Application of a microcomputer-based geographic information system to mineral-potential mapping,in Hanley, J.T., and Merriam, D.F., eds., Microcomputer applications in Geology 2: Oxford, Pergamon, p. 49–74.

    Google Scholar 

  • Bonham-Carter, G.F., Agterberg, F.P., and Wright, D.F., 1988, Integration of geological datasets for gold exploration in Nova Scotia: Photogrammetry and Remote Sensing, v. 54, no. 11, p. 1585–1592.

    Google Scholar 

  • -- 1990, Weights of evidence modelling: a new approach to mapping mineral potential,in Agterberg, F.P., and Bonham-Carter, G.F., eds., Statistical applications in the earth sciences: Geological Survey of Canada, Paper 89-9, p. 171–183.

  • Christensen, R., 1990, Log-linear models: New York, Springer-Verlag, 408 p.

    Google Scholar 

  • Chung, C.F., 1978, Computer program for the logistic model to estimate the probability of occurrence of discrete events: Geological Survey of Canada, Paper 78-11, 23 p.

  • Chung, C.F., and Agterberg, F.P., 1980, Regression models estimating mineral resources from geological map data: Mathematical Geology, v. 12, p. 473–488.

    Google Scholar 

  • Goodacre, A.K., Bonham-Carter, G.F., and Agterberg, F.P., in press, Statistical analysis of the spatial association of seismicity with drainage patterns and magnetic anomalies in the Papineau-Labelle-Laurentides region of Western Quebec: Tectonophysics.

  • Moore, H.D., and Gregory, A.F., 1990, Weighting of geophysical data with SPANS for digital geological mapping,in Agterberg, F.P., and Bonham-Carter, G.F., eds., Statistical applications in the earth sciences: Geological Survey of Canada, Paper 89-9, p. 193–200.

  • Reddy, R.K.T., Agterberg, F.P., and Bonham-Carter, G.F., 1991, Application of GIS-based logistic models to base-metal potential mapping in Snow Lake Area, Manitoba,in Proceedings, 3d Canadian Conference on GIS, Ottawa, Canada, March 18–21, 1991: Energy, Mines and Resources Canada, Ottawa, p. 607–619.

    Google Scholar 

  • Reddy, R.K.T., and Bonham-Carter, G.F., 1991, A decision-tree approach to mineral potential mapping in Snow Lake area, Manitoba: Canadian Journal of Remote Sensing, v. 17, no. 2, p. 191–200.

    Google Scholar 

  • Reddy, R.K.T., Bonham-Carter, G.F., and Wright, D.F., 1990, GIS for mapping mineral resource potential—Preliminary results of base-metal study, Snow Lake area, Manitoba,in Proceedings, 2d Canadian Conference on GIS, Vancouver, Canada, March 5–8, 1990: Energy, Mines and Resources Canada, Ottawa, p. 384–399.

    Google Scholar 

  • Santner, T.J., and Duffy, D.E., 1989, The statistical analysis of discrete data: New York, Springer-Verlag, 367 p.

    Google Scholar 

  • Spiegelhalter, D.J., 1986, Uncertainty in expert systems,in Gale, W.A., ed., Artificial intelligence and statistics: Reading, Mass., Addison-Wesley, p. 17–55.

    Google Scholar 

  • Spiegelhalter, D.J., and Knill-Jones, R.P., 1984, Statistical and knowledge-based approaches to clinical decision-support systems, with an application in gastroenterology: Journal of the Royal Statistical Society, A, Pt. 1, p. 35–77.

  • Tukey, J.W., 1972, Discussion of paper by F.P. Agterberg and S.C. Robinson: International Statistical Institute Bulletin, v. 44, no. 1, p. 596.

    Google Scholar 

  • TYDAC, 1989, SPANS Users Guide, Version 4.0: TYDAC Technologies Inc., 1600 Carling Ave., Ottawa, Canada.

  • Watson, G.P., and Rencz, A.N., 1990, Data integration studies in northern New Brunswick,in Agterberg, F.P., and Bonham-Carter, G.F., eds., Statistical applications in the earth sciences: Geological Survey of Canada Paper 89-9, p. 185–191.

  • Wright, D.F., 1988, Data integration and geochemical evaluation of Meguma Terrane, Nova Scotia, for gold mineralization: Ottawa, Ontario, University of Ottawa, M.Sc. thesis, 82 p.

    Google Scholar 

  • Wrigley, N., and Dunn, R., 1986, Graphical diagnostics for logistic oil exploration models: Mathematical Geology, v. 18, no. 4, p. 356–374.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Geological Survey of Canada, 601 Booth Street, K1A 0E8, Ottawa, Canada

    Frederik P. Agterberg

Authors
  1. Frederik P. Agterberg
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Agterberg, F.P. Combining indicator patterns in weights of evidence modeling for resource evaluation. Nat Resour Res 1, 39–50 (1992). https://doi.org/10.1007/BF01782111

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01782111

Key words

Search

Navigation