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Re: Interpolation on scattered data
From: |
Francesco Potortì |
Subject: |
Re: Interpolation on scattered data |
Date: |
Mon, 23 Mar 2020 14:57:33 +0100 |
>linear, cubic, and natural methods are all triangulation based. they take
>the scattered points, use octave's delauney triangulation, then calculate
>local interpolants within the triangles. linear (actually bilinear i guess)
>is simply a weighted some of triangle areas (the interpolation point
>creates three sub-triangles within the mesh triangle, and value is a
>weighted projection inversely proportional to sub-triangle size, where a
>big sub-triangle has you more strongly weighted toward the point not
>associated with that sub-triangle). the v4 method does not triangulate,
>and does a weighted interpolation over the entire mesh. that can get slow
>and memory intensive, but it's currently the only 'smooth' interpolation
>function Octave has implemented (sort of).
Have you considered Kriging? I have used the stk package from
Octave-forge with profit.
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- Interpolation on scattered data, Nicklas Karlsson, 2020/03/12
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/13
- Re: Interpolation on scattered data, Augustin Lefèvre, 2020/03/16
- Re: Interpolation on scattered data, Nicklas Karlsson, 2020/03/23
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Re: Interpolation on scattered data,
Francesco Potortì <=
- Re: Interpolation on scattered data, Nicklas Karlsson, 2020/03/23
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Message not available
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Re: Interpolation on scattered data, c., 2020/03/23
- Re: Interpolation on scattered data, Nicholas Jankowski, 2020/03/23
- Fwd: Interpolation on scattered data, Nicklas Karlsson, 2020/03/24
- Re: Interpolation on scattered data, Francesco Potortì, 2020/03/24
- Re: Interpolation on scattered data, Julien Bect, 2020/03/23