On 12/11/12 20:27, Pauli Virtanen wrote:
12.11.2012 01:54, John Travers kirjoitti: [clip]
Following this I hope to improve the docs a little and find a better solution to the scattered data problem rather than using surfit (which is great for smoothing BTW).
Currently, we have the Delaunay tesselation based interpolation routines (LinearNDInterpolation et al.) and RBF, in addition to Fitpack's splines.
However, the tesselation doesn't scale very well to large datasets in high dimensions as the number of simplices explodes, and our RBF implementation would need some fine tuning (i.e. the automatic parameter choices it makes are not optimal). Fitpack's problem are well known. So there certainly would be some room for improvement here.
OK, that is interesting, I was looking at using the NDInterpolation routines for this. I think the rectangular grid is the most common use case of interp2d, so if we can get that working much better it is a good start. Irregular data is the sort of problem where it should be expected to try a few of the different routines available to get something which works well. Cheers, J