Abstract
Uni and/or multivariate structural analyses lead to modelling the variability of the phenomenon under study. Factorial Kriging Analysis (F.K.A.) assigns to each of the structures in the models a “fictitious variable” which corresponds to a certain frequency level of the phenomenon. These can then be estimated by means of cokriging. The theory is reviewed for the stationary case and a practical application to geochemical prospecting is presented. This gives a geostatistical way of defining the concepts of “anomaly” and “regional background”.
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References
Mstheron, G., 1982: “Pour une analyse krigeante des données Régionalisées”. Note n° N-732, Centre de Géostatistique, Fontainebleau.
Sandjivy, L., 1982: “Etude statistique et structurale de données géochimiques”. Note n° N-747, Centre de Goostatistique, Fontainebleau.
Sandjivy, L., 1982: “Cartographie des données géochimiques”. Note n° N-768, Centre de Géostatistique, Fontainebleau.
Journel, A.G., 1978: “Mining Geostatistics”, Academic Press, London.
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© 1984 D. Reidel Publishing Company
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Sandjivy, L. (1984). The Factorial Kriging Analysis of Regionalized Data. Its Application to Geochemical Prospecting. 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_32
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DOI: https://doi.org/10.1007/978-94-009-3699-7_32
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8157-3
Online ISBN: 978-94-009-3699-7
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