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https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14301304#comment-14301304
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Karl Wright commented on LUCENE-6196:
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bq. Where in the design is it restricted to lucene?
I did not claim it was restricted to Lucene. My claim is that the
functionality is expressly designed to solve the geographic search problem,
which to me consists of three parts: geohash construction, highly-performant
result filtering, and highly-performant distance scoring functionality. A
general package, in my view, is distinct in the following ways:
(1) It tends to try to solve a broader set of geographic problems, i.e.
computing a shape's area, intersecting shapes, etc.
(2) There is much less emphasis on the highly-performant computational
requirements mentioned above; general packages by and large don't have the
"expensive construction/dirt cheap individual evaluation" requirement that
search engines like Lucene would have.
Having said that, I have no objection if you want to use this code in
spatial4j. I just cannot contribute to spatial4j at the moment. And I do
think that there is a close-enough relationship between the search problem and
geo3d that it isn't unreasonable to include geo3d in Lucene.
> Include geo3d package, along with Lucene integration to make it useful
> ----------------------------------------------------------------------
>
> Key: LUCENE-6196
> URL: https://issues.apache.org/jira/browse/LUCENE-6196
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/spatial
> Reporter: Karl Wright
> Assignee: David Smiley
> Attachments: ShapeImpl.java, geo3d-tests.zip, geo3d.zip
>
>
> I would like to explore contributing a geo3d package to Lucene. This can be
> used in conjunction with Lucene search, both for generating geohashes (via
> spatial4j) for complex geographic shapes, as well as limiting results
> resulting from those queries to those results within the exact shape in
> highly performant ways.
> The package uses 3d planar geometry to do its magic, which basically limits
> computation necessary to determine membership (once a shape has been
> initialized, of course) to only multiplications and additions, which makes it
> feasible to construct a performant BoostSource-based filter for geographic
> shapes. The math is somewhat more involved when generating geohashes, but is
> still more than fast enough to do a good job.
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