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UID:pretalx-foss4g-2022-ALBXPD@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T152000
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DESCRIPTION:Geospatial data and analysis is more central than ever to data 
 science\, research\, and policy analyses. This is especially evident in th
 e explosion of tools\, both open source and proprietary that have been dev
 eloped over the past 5 years to help users manage and gather insights from
  their data. However many of these powerful tools\, like geopandas (analys
 is and modeling) and deck.gl (visualization)— are technically inaccessib
 le to analysts and researchers without the available time or skills for ad
 vanced coding. A number of commercial ventures (Carto\, ESRI etc) attempt 
 to overcome this limitation by bringing these tools together as part of po
 lished\, graphical user interface driven platforms. While these platforms 
 offer ease of use\, they raise concerns about longevity\, data ownership\,
  and academic support.\n\nMatico is a new free and open-source platform we
  are developing at the Spatial Data Science center that seeks to fill the 
 gap between open but technically focused tools and commercial platforms. C
 onsisting of a suite of interoperable components\, Matico enables organiza
 tions and individuals to manage and visualize their geospatial data while 
 easily maintaining their own infrastructure. A backend server allows users
  to easily load\, clean\, analyze\, and distribute data through APIs\, que
 ries\, and in-browser data editing tools while a powerful app builder allo
 ws users to develop their own rich applications that target diverse audien
 ces.\n\nThis talk will demonstrate the current features of Matico\, our fu
 ture roadmap \, and demonstrate relevant use cases. Matico is now and will
  forever be open through a permissive MIT open-source license. Learn more 
 at https://matico.app/
DTSTAMP:20260403T182913Z
LOCATION:Modulo 0
SUMMARY:Matico a new federated FOSS platform for spatial analysis\, data ma
 nagement\, visualization\, and app building - Stuart Lynn\, Dylan Halpern
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/ALBXPD/
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