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https://issues.apache.org/jira/browse/LUCENE-6997?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15124740#comment-15124740
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Nicholas Knize commented on LUCENE-6997:
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+1 as well!  A separate issue for geo3d sounds like the right move to me.

I'd like to work this before committing LUCENE-6930, any objections?

> Graduate GeoUtils and postings based GeoPointField from sandbox...
> ------------------------------------------------------------------
>
>                 Key: LUCENE-6997
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6997
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Nicholas Knize
>
> {{GeoPointField}} is a lightweight dependency-free postings based geo field 
> currently in sandbox. It has evolved into a very fast lightweight geo option 
> that heavily leverages the optimized performance of the postings structure. 
> It was originally intended to graduate to core but this does not seem 
> appropriate given the variety of "built on postings" term encoding options 
> (e.g., see LUCENE-6930).  
> Additionally, the {{Geo*Utils}} classes are dependency free lightweight 
> relational approximation utilities used by both {{GeoPointField}} and the BKD 
> based {{LatLonField}} and can also be applied to benefit the lucene-spatial 
> module.
> These classes have been evolving and baking for some time and are at a 
> maturity level qualifying for promotion from sandbox. This will allow support 
> for experimental encoding methods with (minimal) backwards compatibility - 
> something sandbox does not allow.
> Since GeoPoint classes are dependency free, all GeoPointField and support and 
> utility classes currently in sandbox would be promoted to the spatial3d 
> package. (possibly a separate issue to rename spatial3d to spatialcore or 
> spatiallite?) Such that for basic lightweight Geo support one would only need 
> a handful of lucene jars. By simply adding the lucene-spatial module and its 
> dependency jars users can obtain more advanced geospatial support (heatmap 
> facets, full shape relations, etc).



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