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UID:pretalx-foss4g-2024-RGWHXS@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T160000
DTEND;TZID=-03:20241205T163000
DESCRIPTION:In an era where geographic data underpins critical decision-mak
 ing across various sectors\, the need for open\, interoperable data system
 s has never been greater. This presentation explores the transformative po
 tential of open data through the lens of Overture Maps Foundation. \n\nOve
 rture Maps Foundation\, established under The Linux Foundation in 2022\, i
 s developing enterprise grade\, open map data as a shared resource. This f
 ast-growing open data community enables companies\, government agencies\, 
 and other entities to collaboratively build and maintain high-quality foun
 dational map data in a more efficient and cost-effective way. With these b
 ase data available for use under open licensing\, organizations can then f
 ocus on building their business-specific services and applications. Overtu
 re Maps' datasets act like a shared freeway\, enabling innovation across s
 ectors like local search\, logistics\, disaster recovery\, environmental a
 nalysis\, augmented reality\, and automotive.\n\nThis initiative emphasize
 s interoperability\, ensuring that data can be seamlessly integrated and u
 tilized across different platforms and applications. Both interoperability
  and conflation are vital in collaborative environments where multiple org
 anizations contribute data to ensure that data can be shared and accessed 
 effectively as a unified resource. By leveraging open data and technologie
 s\, Overture Maps enables developers\, researchers\, and policymakers to b
 uild advanced geospatial solutions without the constraints of proprietary 
 data silos. \n\nJoin this discussion to learn about:\n\n- Overture and its
  genesis. Mapping the entire world — with every community\, street\, bui
 lding\, home and attractions (even as they change) — is challenging for 
 any single organization to tackle\, and the cost to build and sustain that
  data continues to grow as the demand for better data increases. \n\n- Ove
 rture’s project scope. Overture is collaboratively building six global\,
  open foundational data layers that can link to a near-infinite catalog of
  spatial data through a stable ID system. \n\n- Overture’s Global Entity
  Reference System (GERS). Data conflation and enabling data interoperabili
 ty are the biggest obstacles in realizing the full value of the abundant o
 pen map data resources available today. Conflation in particular is a chal
 lenge given spatial and attribute ambiguities and discrepancies across dat
 asets. With GERS\, datasets built by different organizations can reference
  the same real-world map features in a simple\, unambiguous way. \n\nThis 
 session will delve into the foundation's core principles\, including the u
 se of open-source tools\, community-driven data contributions\, and the im
 plementation of best practices for data quality and governance. Attendees 
 will gain insights into the technical architecture of Overture Maps\, incl
 uding its approach to data interoperability\, and learn how to contribute 
 to and benefit from this growing ecosystem. Come join us and learn about c
 reating and using a single\, coordinated\, base map for the world!
DTSTAMP:20260517T022815Z
LOCATION:Room IV
SUMMARY:Overture Maps: Unleashing the Power of Open Data for Interoperable 
 Solutions in a Connected World - Jennings Anderson
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/RGWHXS/
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UID:pretalx-foss4g-2024-GM9HZN@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T160000
DTEND;TZID=-03:20241205T163000
DESCRIPTION:Visualizing and analyzing large-scale geospatial datasets\, suc
 h as Overture Maps' comprehensive global dataset containing more than 3 bi
 llion features grows more challenging as these datasets continue to expand
  in size and scale. This presentation introduces Lonboard\, a cutting-edge
  open-source Python library designed to address this challenge by enabling
  fast\, interactive geospatial vector data visualization within Jupyter no
 tebooks.\n\nLonboard's exceptional performance and ease of use stem from i
 ts innovative architecture\, built on four key technologies: deck.gl for G
 PU-accelerated rendering\, GeoArrow for efficient in-memory representation
 \, GeoParquet for optimized file storage\, and anywidget for seamless Jupy
 ter integration. This powerful combination allows Lonboard to move data fr
 om Python to JavaScript and then to the GPU with unprecedented efficiency.
 \n\nUnlike existing solutions that rely on slower GeoJSON encoding\, Lonbo
 ard employs a fully binary pipeline. It leverages GeoPandas as the primary
  user interface\, internally managing conversions to GeoArrow and GeoParqu
 et for efficient data transport and rendering. This approach not only acce
 lerates data processing but also significantly reduces the data size trans
 ferred to the browser.\n\nWe will demonstrate Lonboard's capabilities usin
 g Overture Maps data\, which is provided in GeoParquet format as monthly r
 eleases. This showcase will highlight how Lonboard's simple interface allo
 ws researchers and data scientists to effortlessly visualize and interact 
 with cloud-native\, optimized geospatial data at a global scale.
DTSTAMP:20260517T022815Z
LOCATION:Room V
SUMMARY:Visualizing Overture Maps Data with Lonboard in a Jupyter Notebook 
 - Vitor George\, Jennings Anderson
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/GM9HZN/
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