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Geostatistics: Models and tools for the earth sciences

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Abstract

The probability construct underlying geostatistical methodology is recalled, stressing that stationary is a property of the model rather than of the phenomenon being represented. Geostatistics is more than interpolation and kriging(s) is more than linear interpolation through ordinary kriging. A few common misconceptions are addressed.

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Authors and Affiliations

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

    A. G. Journel

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  1. A. G. Journel
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Journel, A.G. Geostatistics: Models and tools for the earth sciences. Math Geol 18, 119–140 (1986). https://doi.org/10.1007/BF00897658

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  • DOI: https://doi.org/10.1007/BF00897658

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