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https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14289240#comment-14289240
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Karl Wright commented on LUCENE-6196:
-------------------------------------
bq. As of last summer the spatial module has had SerializedDVStrategy to
generalize the later check. It would further be awesome to have a derivative of
RPT that is able to detect which cells are within the query geometry and so
don't double-check those documents, and likewise for leaf cells containing the
query geometry need not be double-checked either. It's a wish-list feature
LUCENE-5579. Ideally the leaf cells would be differentiated as
edge-approximated or within but it's not essential.
With geo3d, the cost of determining membership in the shape is *so* low that I
think you do better by just doing it, rather than trying to avoid doing it. In
a way that was the whole point behind the development of geo3d.
> 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.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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