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Positive Kriging

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Geostatistics for Natural Resources Characterization

Abstract

To eliminate the serious potential problem caused by negative estimation weights, a modified mathematical formulation of Kriging is presented. The necessary and sufficient conditions for a unique optimal solution, and an efficient and easily programmed computational algorithm are developed.

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Author information

Authors and Affiliations

  1. Mining Engineering Department, The Colorado School of Mines, Golden, Colorado, 80401, USA

    Randal J. Barnes & Dr. Thys B. Johnson

Authors
  1. Randal J. Barnes
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  2. Dr. Thys B. Johnson
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Editor information

Editors and Affiliations

  1. Department of Applied Earth Sciences, Stanford University, Stanford, California, 94305, USA

    Georges Verly (Student) & Andre G. Journel (Professor) (Student) &  (Professor)

  2. Departement de Chimie Mineral, Ecole Polytechnique, C.P. 6079 Succ. A, Montreal, Quebec, H3C 3A7, Canada

    Michel David (Professor) (Professor)

  3. Societe Elf Aquitaine (Production), DOTI-Developpement, 64018, Pau, France

    Alain Marechal (Engineer) (Engineer)

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© 1984 D. Reidel Publishing Company

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Cite this chapter

Barnes, R.J., Johnson, T.B. (1984). Positive Kriging. 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_14

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  • DOI: https://doi.org/10.1007/978-94-009-3699-7_14

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8157-3

  • Online ISBN: 978-94-009-3699-7

  • eBook Packages: Springer Book Archive

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