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https://issues.apache.org/jira/browse/LUCENE-6196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14300866#comment-14300866
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Nicholas Knize commented on LUCENE-6196:
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So I went ahead and took a quick look. I do have a question worth thinking
about. Is there anything in here I'm missing that's necessitating this be a
part of the Lucene spatial code base? Since its essentially a computational
geometry package for 3D space using a unit sphere (and not enhancing or
changing the core indexing and search capabilities for geo) why not instead add
it to spatial4j as is? That way it can benefit from enhancements from spatial4j
(e.g., crs projections) and remain decoupled from Lucene capabilities of
handling the evolving spatial indexing strategies?
> 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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