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https://issues.apache.org/jira/browse/LUCENE-4922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13629809#comment-13629809
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Hatim Hakeel commented on LUCENE-4922:
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Hi David,
I believe this would require to implement a class that extends the
SpatialPrefixTree class. It should support all porperties mentioned. We get it
to perform Hilbert space filling curve based spatial data structure traversal
in making range queries etc.
Apart from performance benchmarks to measure effects of the new feature, are
the bonus wishes for use in geospatial to be considered as optimizations given
availability of time?
Thanks,
Hatim.
> A SpatialPrefixTree based on the Hilbert Curve and variable grid sizes
> ----------------------------------------------------------------------
>
> Key: LUCENE-4922
> URL: https://issues.apache.org/jira/browse/LUCENE-4922
> Project: Lucene - Core
> Issue Type: New Feature
> Components: modules/spatial
> Reporter: David Smiley
> Assignee: David Smiley
> Labels: gsoc2013, mentor, newdev
>
> My wish-list for an ideal SpatialPrefixTree has these properties:
> * Hilbert Curve ordering
> * Variable grid size per level (ex: 256 at the top, 64 at the bottom, 16 for
> all in-between)
> * Compact binary encoding (so-called "Morton number")
> * Works for geodetic (i.e. lat & lon) and non-geodetic
> Some bonus wishes for use in geospatial:
> * Use an equal-area projection such that each cell has an equal area to all
> others at the same level.
> * When advancing a grid level, if a cell's width is less than half its
> height. then divide it as 4 vertically stacked instead of 2 by 2. The point
> is to avoid super-skinny cells which occurs towards the poles and degrades
> performance.
> All of this requires some basic performance benchmarks to measure the effects
> of these characteristics.
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