[Numpy-discussion] Vector interpolation on a 2D grid (with realistic results)
Mon Nov 9 03:02:17 CST 2009
On Nov 7, 2009, at 9:14 PM, Ryan May wrote:
> On Sat, Nov 7, 2009 at 5:38 PM, Pierre GM <email@example.com>
>> Linear interpolation with the delaunay package doesn't work great for
>> my data. I played with the radial basis functions, but I'm afraid
>> they're leading me down the dark, dark path of parameter fiddling. In
>> particular, I'm not sure how to prevent my interpolated values to be
>> bounded by the min and max of my actual observations.
>> Ralf' suggestion of smoothing the values afterwards is tempting, but
>> sounds a bit too ad-hoc (btw, Ralf, those were relative differences
>> monthly average precipitation between El Niño and Neutral phases for
> That was me, not Ralf. :)
Oopsie, sorry about that...
> And I agree, I the interpolated field does
> look a bit noisy for such data. I've been doing the smoothing on top
> of natural neighbor for doing some of my own meteorological analysis.
> Using the Gaussian kernel isn't really *that* ad hoc considering the
> prevalence of Barnes/Cressman weighting for spatial averaging
> typically used in meteorology. And if you have no idea what I'm
> talking about, Google them, and you'll see. :)
I gonna give it a try, thx for the suggestion
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