Re: KD Tree with great circle distances

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-
>> speed-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.
>>
>>
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