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UID:pretalx-foss4g-2023-LPYMXZ@talks.osgeo.org
DTSTART;TZID=CET:20230629T150000
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DESCRIPTION:The Uber H3 library is a powerful geospatial indexing system th
 at offers a versatile and efficient way to index and query geospatial data
 . It provides a hierarchical indexing scheme that allows for fast and accu
 rate calculations of geospatial distances\, as well as easy partitioning o
 f data into regions. In this proposal\, we suggest using the Uber H3 index
 ing library in Postgres for geospatial data processing.\n\nPostgres is an 
 open-source relational database management system that provides robust sup
 port for geospatial data processing through the PostGIS extension. PostGIS
  enables the storage\, indexing\, and querying of geospatial data in Postg
 res\, and it offers a range of geospatial functions to manipulate and anal
 yze geospatial data.\n\nHowever\, the performance of PostGIS can be limite
 d when dealing with large datasets or complex queries. This is where the U
 ber H3 library can be of great use. By integrating Uber H3 indexing with P
 ostgres\, we can improve the performance of PostGIS\, especially for opera
 tions that involve partitioning of data and distance calculations.\n\nWe p
 ropose to demonstrate the use of Uber H3 indexing library in Postgres for 
 geospatial data processing through a series of examples and benchmarks. Th
 e proposed presentation will showcase the benefits of using Uber H3 indexi
 ng for geospatial data processing in Postgres\, such as improved query per
 formance and better partitioning of data. We will also discuss the potenti
 al use cases and applications of this integration\, such as location-based
  services\, transportation\, and urban planning.\n\nThe proposed presentat
 ion will be of interest to developers\, data scientists\, and geospatial a
 nalysts who work with geospatial data in Postgres. It will provide a pract
 ical guide to integrating Uber H3 indexing with Postgres\, and offer insig
 hts into the performance gains and applications of this integration.
DTSTAMP:20260817T173116Z
LOCATION:UBT C / N110 - Second Floor
SUMMARY:Leveraging the Power of Uber H3 Indexing Library in Postgres for Ge
 ospatial Data Processing - json singh
URL:https://talks.osgeo.org/foss4g-2023/talk/LPYMXZ/
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