Re: 3D Interpolation

• To: Bill Hibbard <hibbard@xxxxxxxxxxxxxxxxx>
• Subject: Re: 3D Interpolation
• From: Doug Lindholm <lind@xxxxxxxx>
• Date: Tue, 18 Dec 2001 08:46:35 -0700

I want to point out that just because the points are "not equal
distributed" does not mean that you need an Irregular3DSet. If your data
have a gridded topology, then you can use a Gridded3DSet which will give
you better performance. Equally distributed data can use a Linear*Set. 

Doug

Bill Hibbard wrote:
> 
> > I have a lot of points (not equal distributed) in an 3D-plot. Now I want
> > to interpolate (linear, quadratic, ...) these points. Is this possible
> > with VisAD? Suggestions?
> 
> Yes. Use the locations of the points to construct an Irregular3DSet
> (which will implicitly invoke a Delaunay algorithm). The use the
> Irregular3DSet as the domain Set of a FlatField, with dependent
> values in the Field's range. Then construct a Set of locations you
> want to interpolate to (may be a SingletonSet for a single point,
> or any other visad.*Set class), and pass it to the resample()
> method of your FlatField. The range value of the returned FlatField
> will be interpolated values of your dependent values. Note
> Irregular3DSet uses linear interpolation over the tetrahedra
> found by the Delaunay algorithm.
> 
> Good luck,
> Bill
> ----------------------------------------------------------
> Bill Hibbard, SSEC, 1225 W. Dayton St., Madison, WI  53706
> hibbard@xxxxxxxxxxxxxxxxx  608-263-4427  fax: 608-263-6738
> http://www.ssec.wisc.edu/~billh/vis.html

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• References:
  • 3D Interpolation
    • From: Geert Van Nuland
  • Re: 3D Interpolation
    • From: Bill Hibbard