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UID:pretalx-foss4g-2022-KPQ97A@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T093000
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DESCRIPTION:Come have a look under the covers at the data structures that e
 nable geospatial and multi-dimensional indexing and search at massive scal
 e in Apache Lucene and OpenSearch. This talk will cover not only the index
 ing structures considered and ultimately implemented in the Apache Lucene 
 Open Source Project but the exceptional performance improvements and centi
 meter spatial accuracy obtained in the latest release. As a bonus\, this t
 alk will cover new and upcoming Spatial Analysis Aggregations and Processi
 ng available in the OpenSearch Open Source project.\n\nFrom tessellation t
 o multidimension encoding and block KD trees this talk will cover the algo
 rithms and data structures written and committed to the following open sou
 rce projects:\n\nApache Lucene (specifically the release of BKD based geo 
 indexing https://issues.apache.org/jira/browse/LUCENE-8396)\nPerformance b
 enchmarks for Lucene Spatial Indexing: https://home.apache.org/~mikemccand
 /geobench.html\n\nFinally\, we will discuss the future of the project incl
 uding existing and evolving support for custom coordinate reference system
 s and projections\, spatial regression modeling and statistics\, and spati
 al visualizations with OpenSearch Dashboards.
DTSTAMP:20260412T013603Z
LOCATION:Room 4
SUMMARY:Geospatial Indexing with Apache Lucene and OpenSearch - Nicholas Kn
 ize\, PhD
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/KPQ97A/
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