Skip to main content

Abstract

By varying the search space of service variables data onto which the unknown is projected, a large category of krigings including disjunctive and indicator krigings are put in frame. The non-parametric technique of indicator and probability krigings are then developed towards estimation of spatial distributions.

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 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

  • Beckmann, P., 1973, “Orthogonal polynomials for engineers and physicists”, Golem Press, Boulder, 280 p.

    Google Scholar 

  • Davis, B., 1984, “Indicator Kriging as applied to an alluvial gold deposit”, in this volume, p. 337.

    Google Scholar 

  • Journel, A. and Huijbregts, Ch., 1978, “Mining Geostatistics”, ed. Academic Press, 600 p.

    Google Scholar 

  • Journel, A., 1983, “Non-parametric estimation of spatial Distributions” in Math. Geology, Vol. 15, no. 3, pp. 445–468.

    Article  Google Scholar 

  • Journel, A., 1984, “mAD and Conditional quantile estimators”, in this volume, p. 261

    Google Scholar 

  • Lemmer, C., 1984, “Estimating local recoverable reserves via IK”, in this volume.

    Google Scholar 

  • Matheron, G., 1976, “A simple substitute for conditional expectation: disjunctive kriging” in Proceedings of the 1st Geostat. NATO ASI, Rome (1975), D. Reidel, p. 221–236.

    Google Scholar 

  • Matheron, G., 1982, “La destructuration des hautes teneurs et le krigeage des indicatrices” Report N-761, CGMM, Fontainebleau.

    Google Scholar 

  • Rao, C. R. 1965, “Linear statistical inference and its applications” ed. Wiley and Sons, 625 p.

    Google Scholar 

  • Sullivan, J. (1984), “Probability Kriging - Theory and Practice”, in this volume, p. 365.

    Google Scholar 

  • Verly, G., 1983, “The multigaussian approach and its applications to the estimation of local recoveries”, in Math. Geology, Vol. 15, no. 263–290.

    Google Scholar 

  • Verly, G., 1984, “The block distribution given a point multivariate ф-normal distribution”, in this volume, p. 495.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1984 D. Reidel Publishing Company

About this chapter

Cite this chapter

Journel, A.G. (1984). The Place of Non-Parametric Geostatistics. In: Verly, G., David, M., Journel, A.G., Marechal, A. (eds) Geostatistics for Natural Resources Characterization. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3699-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-3699-7_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8157-3

  • Online ISBN: 978-94-009-3699-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics