Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
On 4/13/15, 6:00 AM, "Carlo Innocenti" <carlo.innocenti at isprambiente.it>
wrote:
>Hello,
>
>anybody know a function to fit a theoretical 3D variogram model to the
>experimental data?
>
>I work with pollution data from boreholes samples of marine sediment.
>Generally the model that best fits to the data is a nested variogram with
>both geometric and zonal anisotropy, composed by:
>
>- nugget effect
>- spherical model with short range (< 1 m) along the z axis and very long
>range (1000 km) along x and y axis
>- spherical model with very long range (10^6 m) along the z axis and
>medium range (< 1 km) along x and y axis
>
>In the past I used Isatis to visually adapt the range of the model to the
>experimental variogram and automatically fit the sill.
>Now I'm moving on open source software and I'm looking for a way to fit at
>least the sill of the 3D variogram to the data.
>
>I found that gstat allows to use the 3D variogram, but doesn't fit the
>anisotropic ones, and geoR fit the anisotropic variogram but not the 3D
>ones.
>
>Anybody knows a way in R to build and fit a variogram as that described
>above?
>
>Thanks,
>Carlo
>
>
>
>
>
>--
>
>
>Carlo Innocenti, PhD
>
>ISPRA
>Istituto Superiore per la Protezione e la Ricerca Ambientale
>High Institute for Environmental Protection and Research
>
>Via Vitaliano Brancati, 60
>00144 Roma
>Italy
>
>phone: +39 06 5007 4639
>email: carlo.innocenti at isprambiente.it
>
> [[alternative HTML version deleted]]
>
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