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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
      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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