Hi team,

Based on positive feedback in this thread and approval by two maintainers, gh-16435 adding `scipy.stats.directionalmean` recently merged. However, I see that the original proposal did not link to that PR or mention the name or interface of `directionalmean` in particular, so I thought I'd invite those interested to continue the discussion at:
https://github.com/scipy/scipy/pull/16435
or, for more general thoughts,
https://github.com/scipy/scipy/issues/12041

Matt

On Sun, Jun 5, 2022 at 11:10 AM Pamphile Roy <roy.pamphile@gmail.com> wrote:
Hi Daniel,

I also think these would be interesting.

I am myself very interested in the sampling part, as we actually recently added poisson disk sampling which internally uses hypersphere sampling. I would be happy to help with this work.

Cheers,
Pamphile (@tupui)

On 5 Jun 2022, at 17:04, Robert Kern <robert.kern@gmail.com> wrote:


Yes, I think both have a place in scipy.stats. Thanks!

On Sun, Jun 5, 2022 at 5:55 AM Daniel Schmitz <danielschmitzsiegen@googlemail.com> wrote:
Hi everyone,

recently questions came up with regards to statistics on the unit sphere in scipy.

Issue 12041 raises the question if spherical mean/variance should be added as descriptive statistics similar to circmean/circvar . The canonical reference for all things related to statistics on the unit sphere is "Directional Statistics" by Mardia & Jupp.

Another important basic functionality is the generation of random samples on the unit sphere: discussion was started in this issue .

Any strong opinion against these? I think at least the random number generation is reimplemented every day around the world (done so myself at least 2 times) and would strongly benefit from being part of scipy.

Best
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