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Spatiotemporal Modelling: Covariances and Ordinary Kriging Systems

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Geostatistics for the Next Century

Part of the book series: Quantitative Geology and Geostatistics ((QGAG,volume 6))

Abstract

This paper presents results on the geostatistical modelling of spatiotemporal data. Permissible space-time covariances and ordinary kriging are considered.

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References

  • Berg, C., Christensen, G.R., and Ressel, P. (1984) The Theory of Positive Definite and Related Functions, Springer-Verlag, New York, NY.

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  • Myers, D. and Journel, A.G. (1990) “Variograms with Zonal Anisotropies and Non Invertible Kriging Systems”, Mathematical Geology, 22, 779–785.

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Author information

Authors and Affiliations

  1. Dept. of Mining and Metallurgical Eng., McGill University, 3480 University St., Montreal, Qc, Canada, H3A 2A7

    Roussos Dimitrakopoulos & Xiaochun Luo

Authors
  1. Roussos Dimitrakopoulos
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  2. Xiaochun Luo
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Editor information

Editors and Affiliations

  1. Department of Mining and Metallurgical Engineering, McGill University, Montreal, Canada

    Roussos Dimitrakopoulos

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© 1994 Springer Science+Business Media Dordrecht

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Dimitrakopoulos, R., Luo, X. (1994). Spatiotemporal Modelling: Covariances and Ordinary Kriging Systems. In: Dimitrakopoulos, R. (eds) Geostatistics for the Next Century. Quantitative Geology and Geostatistics, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-0824-9_11

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  • DOI: https://doi.org/10.1007/978-94-011-0824-9_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-4354-0

  • Online ISBN: 978-94-011-0824-9

  • eBook Packages: Springer Book Archive

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