Re: Add Inverse Distance Weighted Interpolation?

Ralf Gommers <[email protected]> Mon, 11 Dec 2023 20:23:27 +0100
Newsgroups gmane.comp.python.scientific.devel
Message-ID <CABL7CQjAivo0OL1t2M4d-uv4Kg8uS9c26cBe5XaJPz9Y6QDU9A@mail.gmail.com>
On Mon, Dec 11, 2023 at 3:50 PM Harshil Kamdar <[email protected]>
wrote:

> Shepard's method/inverse distance weighted interpolation is very heavily
> used in a lot of different interpolation applications (
> https://en.wikipedia.org/wiki/Inverse_distance_weighting). This message
> is to gauge interest in adding it to the scipy interpolation stack.
>
> Link to PR - https://github.com/scipy/scipy/pull/19665 - implements a
> flexible and fast version of IDW interpolation. The code as currently
> written allows for any custom weighting of points as a function of
> distance. This naturally extends the NearestNDInterpolator currently
> available in scipy.
>
> Link to issue - https://github.com/scipy/scipy/issues/2022. There has
> been previous discussion in the scipy community about this method. @ev-br
> summarized the status of adding this to scipy in this comment -
> https://github.com/scipy/scipy/issues/2022#issuecomment-1288027872. tl;dr
> - adding to scipy.interpolate seemed like a good idea, but there were a
> couple of different paths but no PRs to address.
>

Thanks for putting up a PR Harshil. I remember the previous discussion and
also needing this myself at some point in the past. There is certainly
enough interest in, and literature/citations for, to justify adding it to
SciPy I'd say.

Cheers,
Ralf



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