Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
Due to the current gap in continued funding from the U.S. National Science Foundation (NSF), the NSF Unidata Program Center has temporarily paused most operations. See NSF Unidata Pause in Most Operations for details.
Hi Eugen, I said:
Fortunately, you may not need to use IrregularSets at all. If the data is merely unevenly spaced, but still a convex grid, as in your code example, you can use Gridded3DSet.
If you do need to use an Irregular3DSet, you can work around the bug with the following code:
Irregular3DSet iset = new Irregular3DSet(xyz, samples,
null, null, null, new DelaunayClarkson(samples));
Instead of:
Irregular3DSet iset = new Irregular3DSet(xyz, samples);
This technique works because for small samplings VisAD uses the DelaunayWatson algorithm by default, which fails with your data, but DelaunayClarkson works.
boolean success = iset.Delan.test(samples, true);
Also, please ignore the above Delan.test line; it was for debugging and I had meant to remove it.
-Curtis
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