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AI-GEOSTATS: Simulation of a spatial random field

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  • Soeren Nymand Lophaven
    Dear list Is it possible to simulate a spatial random field from a skewed (i.e. non-Gaussian) distribution with a known spatial covariance structure. If so how
    Message 1 of 2 , Aug 28, 2002
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      Dear list

      Is it possible to simulate a spatial random field from a skewed
      (i.e. non-Gaussian) distribution with a known spatial covariance
      structure. If so how is it done ??

      Best regards / Venlig hilsen

      Søren Lophaven
      ******************************************************************************
      Master of Science in Engineering | Ph.D. student
      Informatics and Mathematical Modelling | Building 321, Room 011
      Technical University of Denmark | 2800 kgs. Lyngby, Denmark
      E-mail: snl@... | http://www.imm.dtu.dk/~snl
      Telephone: +45 45253419 |
      ******************************************************************************


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    • Syed Abdul Rahman Shibli
      One way is to generate unconditional fields using simulated annealing. Refer the GSLIB textbook for details. One can specify a user defined variogram and
      Message 2 of 2 , Aug 28, 2002
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        One way is to generate unconditional fields using
        simulated annealing. Refer the GSLIB textbook for details.
        One can specify a user defined variogram and histogram.

        Syed

        ---- Original message ----
        >Date: Wed, 28 Aug 2002 10:14:54 +0200 (METDST)
        >From: Soeren Nymand Lophaven <snl@...>
        >Subject: AI-GEOSTATS: Simulation of a spatial random field
        >To: ai-geostats@...
        >
        >Dear list
        >
        >Is it possible to simulate a spatial random field from a skewed
        >(i.e. non-Gaussian) distribution with a known spatial covariance
        >structure. If so how is it done ??
        >
        >Best regards / Venlig hilsen
        >
        >Søren Lophaven
        >***************************************************************************
        >***
        >Master of Science in Engineering | Ph.D. student
        >Informatics and Mathematical Modelling | Building 321, Room 011
        >Technical University of Denmark | 2800 kgs. Lyngby, Denmark
        >E-mail: snl@... | http://www.imm.dtu.dk/~snl
        >Telephone: +45 45253419 |
        >***************************************************************************
        >***
        >
        >
        >--
        >* To post a message to the list, send it to ai-geostats@...
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