Hello,

as you might have seen, after some days of trying around I am now able 
to create a regular grid with griddata().

Now, using griddata, I have to decide which gridding algorithm to use. 
As I used the delauny triangulation method in Matlab before, I would 
like to use this one with Plplot, too.

But using GRID_DTLI (Delaunay Triangulation Linear Interpolation) I get 
a regular grid full of NaNs. Thats fine, but not what I need.

As the cubic spline method is another possible way to get "good" data, I 
tried this one, too. I get a half NaN matrix. The rest of the values are ok.

The linear interpolation algorithm is too bad for my case.

Well, my data is from a wavefront tracing through an eye glass blank. So 
the result points (x, y, z) in the x-y-layer are those: 
http://m21s26.vlinux.de/math/datapoints.png
So I would understand if there are a lot of NaNs around the data.

Is there a way to use the DTLI algorithm to get a kind of data like in 
http://m21s26.vlinux.de/math/gsg.png?

Thanks very much.
Regards
Paul.

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