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https://issues.apache.org/jira/browse/LUCENE-4922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13652934#comment-13652934
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David Smiley commented on LUCENE-4922:
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Cool John. I suggest that any future code-samples be attached to the issue.
BTW another thing about the implementation of this grid I want to explore is
the efficacy of working with integers and fixed precision (configured), versus
floating point math.
> 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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