[SciPy-user] Efficiently searching the surface of a sphere
Thu Jun 11 16:55:22 CDT 2009
On Thu, Jun 11, 2009 at 16:48, Zane Selvans<firstname.lastname@example.org> wrote:
> Zane Selvans <zane <at> ideotrope.org> writes:
>> It's unclear to me at the moment whether I can use the kd-tree data
>> structure for this:
>> and somehow define the "distance" metric to be the spherical distance...
> Hmm. Maybe on second thought, the right thing to do is just convert all the
> points in question to 3D cartesian coordinates at the beginning, and use the
> kd-tree as it is. The distances involved will change, but the nearest-neighbors
> should still be the same points.
That's probably the most straightforward thing to do at this time. You
may also consider using a spherical Voronoi diagram. Robert Renka's
FORTRAN STRIPACK code would do the trick:
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
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