Re: KD Tree with great circle distances
Edward Gryspeerdt <[email protected]>
| Newsgroups | gmane.comp.python.scientific.user |
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| Message-ID | <CAC85cQtPBZ_TMGrYddebp7m0pngX7mjhaja-7eNS1sJ+MABYxQ@mail.gmail.com> |
Hi Ashwin, If you are using the whole globe, you might want to consider using something like a VP-tree instead. A KD-tree needs left/right to be defined, which you can't do on a sphere. Scikit-learn has a BallTree, which you can use with a 'haversine' distance metric, which should allow you to do do nearest neighbours on a sphere http://scikit-learn.org/stable/modules/generated/sklearn.neighbors.BallTree.html Hope that helps, Ed On 20 May 2018 at 17:49, ashwin .D <[email protected]> wrote: > Hi David, > Many thanks for your prompt response and that maybe the > route that I may have to take eventually. I was just wondering whether > scipy has any equivalent for the stuff described in this paper - > http://www.soest.hawaii.edu/wessel/sphspline/Wessel+Becker_2008_GJI.pdf ? > > Regards, > Ashwin. > > On Sun, May 20, 2018 at 9:56 PM, David Hoese <[email protected]> wrote: > >> Hi Ashwin, >> >> As far as I know this is the easiest way to do it. I'm not a scipy >> developer, but you may be interested in the pyresample package: >> >> http://pyresample.readthedocs.io/en/latest/ >> >> Which uses the pykdtree library: >> >> https://github.com/storpipfugl/pykdtree >> >> And can perform resampling of irregularly spaced data. For certain >> calculations/utilities it will also convert to XYZ space as described in >> that SO answer. Hope this helps a little, sorry if it isn't the answer >> you're looking for. >> >> Dave >> >> >> On 5/20/18 11:09 AM, ashwin .D wrote: >> >>> Hello, >>> I am using - https://docs.scipy.org/doc/sci >>> py/reference/generated/scipy.spatial.KDTree.html#scipy.spatial.KDTree >>> which I believe is using Euclidean distances underneath the hood. But I >>> want to be able to use great circle distances. Is this the only way to do >>> this - https://stackoverflow.com/questions/20654918/python-how-to-s >>> peed-up-calculation-of-distances-between-cities or is there some way I >>> can extend that class to use great circle distances(maybe somebody has >>> already done that ? ) I have a irregular shaped grid in a WGS 84 >>> ellipsoid(can be assumed to be a sphere) and so I want to use great circle >>> distances or if somebody can convince me not to that would be great as well. >>> >>> >>> Best regards, >>> Ashwin. >>> >>> >>> _______________________________________________ >>> SciPy-User mailing list >>> [email protected] >>> https://mail.python.org/mailman/listinfo/scipy-user >>> >>> _______________________________________________ >> SciPy-User mailing list >> [email protected] >> https://mail.python.org/mailman/listinfo/scipy-user >> > > > _______________________________________________ > SciPy-User mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scipy-user > > -- Public key available at pgp.mit.edu <http://pgp.mit.edu:11371/pks/lookup?search=gryspeerdt&op=index>, ID:B30279BC _______________________________________________ SciPy-User mailing list [email protected] https://mail.python.org/mailman/listinfo/scipy-user