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Conditional simulation

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Abstract

In the past ten years, conditional simulation has come be used in analysis and mapping of regionalized variables. An important advantage to the geostatistical approach to mapping lies in the modeling of spatial covariance that precedes interpolation; semivariogram models derived from this step can make the final estimates sensitive to directional anisotropies present in the data. On the other hand, the smoothing property of kriging can also mean that one throws away detail at the mapping stage.

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© 1999 Springer Science+Business Media Dordrecht

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Hohn, M.E. (1999). Conditional simulation. In: Geostatistics and petroleum geology. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4425-4_7

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  • DOI: https://doi.org/10.1007/978-94-011-4425-4_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5901-5

  • Online ISBN: 978-94-011-4425-4

  • eBook Packages: Springer Book Archive

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