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RE: [ai-geostats] a linear coregionalization model

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  • Pierre Goovaerts
    Dear Nur, In the linear model of coregionalization, each of the basic model must have the same range and anisotropy parameters across the different direct and
    Message 1 of 2 , May 17, 2005
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      Dear Nur,

      In the linear model of coregionalization, each of the basic model
      must have the same range and anisotropy parameters across the
      different direct and cross semivariograms.

      Pierre

      -----Original Message-----
      From: M. Nur Heriawan [mailto:mn_heriawan@...]
      Sent: Mon 5/16/2005 11:45 PM
      To: ai-geostats@...
      Cc:
      Subject: [ai-geostats] a linear coregionalization model



      Dear All,

      I am working with a multivariate geostatistics. In
      determining whether the semivariogram or
      cross-semivariogram follows a linear coregionalization
      model or not...must the spatial range be the same?

      For instance, I have semivariogram and
      cross-semivariogram from 2 different variables as
      follow:
      gamma1(h) = 11 nug(h) + 39 sph(h/60)
      gamma1(h) = 9 nug(h) + 15 sph(h/100)
      gamma12(h)= 14.5 sph(h/80)

      If I consider only the variance-covariance components,
      such models follow the positive-semi definite
      condition. But how about the different spatial range I
      have in each semivariogram-cross semivariogram? Is it
      essential in a linear coregionalization model?

      Thank you for your attention.

      Regards,

      Nur Heriawan




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