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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
In this podcast episode, Jennings Anderson, a research scientist at Meta, discusses the Overture Maps Foundation, a downstream product of OpenStreetMap.
He explains his background in open map data and his interest in studying collaboration within the OpenStreetMap community.
Jennings then dives into the Daylight Distribution, an open data product produced by Meta, and how it combines building data sets from various sources into one unified theme.
Jennings emphasizes the importance of a stable ID system within the Overture Maps Foundation and the potential for easy conflation and integration of third-party data.
Jennings also explains the relationship between OpenStreetMap and Overture Maps, highlighting how they complement each other.
Relevant podcast episodes
OpenStreetMap Is A Community Of Communities
Cloud Native Geospatial
Cloud Optimized Point Clouds
The Rapid Editor
With regards to accessing Overture Map data, you might find this YouTube video helpful
https://youtu.be/fZj6kTwXN1U?feature=shared
Just in case you are interested in the Google building footprints here is a link to that :)
https://sites.research.google/open-buildings/
Some more episodes you might enjoy
ESRI, GIS careers, Geospatial Data Science
QGIS, Geospatial Python, ArcGIS Pro
Google Maps, Geomatics, Cartography
Location Intelligence, Mapping
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