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https://issues.apache.org/jira/browse/LUCENE-6450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14538092#comment-14538092
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Michael McCandless commented on LUCENE-6450:
--------------------------------------------
bq. This will limit usage to applications for which cartesian approximations
are acceptable.
But such users that care about the "earth curvature" of this approximation can
use geo3d right?
Also, isn't the curvature less substantial the smaller the perimeter of the
polygon?
E.g. http://apartments.com makes a big deal about doing polygon searching for
your apartment, but such users are likely to draw miniscule (relative to
earth's curvature) polygons, on already-projected maps, so the curvature
wouldn't matter for these users?
I'm very much a spatial newbie so I could be completely wrong :)
> Add simple encoded GeoPointField type to core
> ---------------------------------------------
>
> Key: LUCENE-6450
> URL: https://issues.apache.org/jira/browse/LUCENE-6450
> Project: Lucene - Core
> Issue Type: New Feature
> Affects Versions: Trunk, 5.x
> Reporter: Nicholas Knize
> Priority: Minor
> Attachments: LUCENE-6450-5x.patch, LUCENE-6450-TRUNK.patch,
> LUCENE-6450.patch, LUCENE-6450.patch, LUCENE-6450.patch, LUCENE-6450.patch
>
>
> At the moment all spatial capabilities, including basic point based indexing
> and querying, require the lucene-spatial module. The spatial module, designed
> to handle all things geo, requires dependency overhead (s4j, jts) to provide
> spatial rigor for even the most simplistic spatial search use-cases (e.g.,
> lat/lon bounding box, point in poly, distance search). This feature trims the
> overhead by adding a new GeoPointField type to core along with
> GeoBoundingBoxQuery and GeoPolygonQuery classes to the .search package. This
> field is intended as a straightforward lightweight type for the most basic
> geo point use-cases without the overhead.
> The field uses simple bit twiddling operations (currently morton hashing) to
> encode lat/lon into a single long term. The queries leverage simple
> multi-phase filtering that starts by leveraging NumericRangeQuery to reduce
> candidate terms deferring the more expensive mathematics to the smaller
> candidate sets.
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