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Concepts and Methods of Geostatistics

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Space, Structure and Randomness

Part of the book series: Lecture Notes in Statistics ((LNS,volume 183))

Abstract

A mathematician but also an engineer, Professor Georges Matheron has shown an exceptional ability to formalize practical problems, edict relevant concepts and methods in order to find workable solutions. From 1954 to 1963, while working with the French Geological Survey in Algeria and in France, he discovered the pioneering work of the South African school on the gold deposits of the Witwatersrand, and formalized the major concepts of the theory that he named Geostatistics. The “classical” geostatistics (linear geostatistics based on stationary covariance and variogram) was fully developed in his thesis [11]. The regionalized variable under study, as Matheron called it, is then conveniently modelled as a Random Function. However one should not consider the model as the reality, and the analysis of the role to be assigned to the model led Matheron to write “Estimating and Choosing”, an essay on probability in practice ([18] for the French version, [20] in English). In the mean time, the bases of both non-linear geostatistics and non-stationary geostatistics were laid out. The reader will find a detailed description of the different geostatistical methods, as well as a valuable bibliography, in the reference book by Chilès and Delfiner [1]. The present article describes the basic concepts of geostatistics, from today’s perspective.

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References

  1. Chilès, J.-P., and Delfiner, P. 1999. Geostatistics: Modeling spatial uncertainty, Wiley, New York, 695 p.

    MATH  Google Scholar 

  2. Cressie, N., 1990, The origins of kriging, Math. Geol., Vol. 22,3, p. 239–252.

    Article  MATH  MathSciNet  Google Scholar 

  3. De Wijs, H. J. 1951–53. Statistical ore distribution, Geologie en Mijnbouw, Part I nov. 1951, Part II Jan. 1953.

    Google Scholar 

  4. Duval, R., Lévy, R., Matheron, G., 1955. Travaux de D. G. Krige sur l’évaluation des gisements dans les mines d’or sud-africaines. Annales des Mines, Paris, vol. 12, p. 3–49.

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  5. Journel, A. G. 1982. The indicator approach to estimation of spatial distributions. In: Johnson, T. B., and Barnes, R. J., eds, Proceedings of the 17th APCOM International Symposium, Society of Mining Engineers of the AIME, New York, p. 793–806.

    Google Scholar 

  6. Krige, D. G., 1951, A statistical approach to some basic mine valuation problems on the Witwatersrand. Journal of the Chemical, Metallurgical and Mining Society of South Africa, dec. 1951, p. 119–139.

    Google Scholar 

  7. Lantuéjoul, C., 1990. Cours de sélectivité. Lecture Notes, Ecole des Mines de Paris, Centre de Géostatistique, Fontainebleau.

    Google Scholar 

  8. Matheron, G. 1955. Applications des méthodes statistiques à l’évaluation des gisements, in Annales des Mines, 12, Paris, p. 50–75.

    Google Scholar 

  9. Matheron, G. 1955. Etude géostatistique du gisement de plomb de Bou-Kiama, Technical report, Ecole des Mines de Paris, Centre de Géostatistique, Fontainebleau.

    Google Scholar 

  10. Matheron, G. 1962–63. Traité de géostatistique appliquée. Mémoires du Bureau de Recherches Géologiques et Minières. Tome I, no 14, Editions Technip, Paris, Tome II: le krigeage, no 24, Editions BRGM, Paris.

    Google Scholar 

  11. Matheron, G. 1965. Les variables régionalisées et leur estimation. Masson, Paris. 306 p.

    Google Scholar 

  12. Matheron G., 1968, Lois stables et loi lognormale. Technical report, Ecole des Mines de Paris, Centre de Géostatistique, Fontainebleau, 17 p.

    Google Scholar 

  13. Matheron, G. 1971. The theory of regionalized variables and its applications, Les Cahiers du Centre de Morphologie Mathématique, no. 5, Ecole des Mines de Paris, 211 p.

    Google Scholar 

  14. Matheron G., 1973, The intrinsic random functions and their applications, Adv. Appl. Prob. 5, 439–468.

    Article  MATH  MathSciNet  Google Scholar 

  15. Matheron G., 1973, Le krigeage disjonctif. Technical report, Ecole des Mines de Paris, Centre de Géostatistique, Fontainebleau, 40 p.

    Google Scholar 

  16. Matheron G., 1974. Effet proportionnel et lognormalité ou le retour du serpent de mer. Technical report, Ecole des Mines de Paris, Centre de Géostatistique, Fontainebleau, 43 p.

    Google Scholar 

  17. Matheron G., 1975, Le paramétrage technique des réserves. Technical report, Ecole des Mines de Paris, Centre de Géostatistique, Fontainebleau, 26 p.

    Google Scholar 

  18. Matheron, G. 1978. Estimer et choisir. Les Cahiers du Centre de Morphologie Mathématique 7. Ecole des Mines de Paris, Fontainebleau. 175 p.

    Google Scholar 

  19. Matheron G., 1984, The selectivity of the distributions and “the second principle of geostatistics”. In Verly, G. et al eds. Geostatistics for natural resources characterization, Reidel, Dordrecht, Part 1, p. 421–433.

    Google Scholar 

  20. Matheron G., 1989, Estimating and choosing, Springer-Verlag, Berlin, 141 p.

    MATH  Google Scholar 

  21. Rivoirard, J., 1989, Models with orthogonal indicator residuals, in M. Armstrong (ed.), Geostatistics, Kluwer, Dordrecht, Vol. 1, p. 91–107.

    Google Scholar 

  22. Strebelle, S., 2002. Conditional simulations of complex geological structures using multi-point statistics: Math. Geology, v.34, no. 1, p. 1–21.

    Article  MATH  MathSciNet  Google Scholar 

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Rivoirard, J. (2005). Concepts and Methods of Geostatistics. In: Bilodeau, M., Meyer, F., Schmitt, M. (eds) Space, Structure and Randomness. Lecture Notes in Statistics, vol 183. Springer, New York, NY. https://doi.org/10.1007/0-387-29115-6_2

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