https://peertube.watch/videos/watch/62205034-525b-4d3b-a958-3d368cb13d61 As technology advances, so as our maps. In this talk, we will explore the ever growing open map data that can help us understand, validate, and explore socio-economic indicators with the aid of network theory and machine learning techniques. Participants will learn what data are available in OpenStreetMap that can be used to profile cities and municipalities for socio-economic conditions based on proxy variables. These variables include existence of businesses through establishments and buildings, road network densities and complexities, topographical features, vegetation and water indices, etc. Machine learning models will be used for categorization aided by graph metrics. Results will be cross validated with existing city/municipality tags. Speaker: Albert Yumol, Track: Open Research Tools and Technologies, Room: D.research, When: Saturday 6 February 2021, 10:00–10:25 (Brussels time), Schedule: FOSDEM 2021 event page, Licence: Creative Commons Attribution 2.0 Belgium (CC BY 2.0 BE) (as stated in the FOSDEM video archive). Attribution: “OpenStreetMap Features as Proxy to Socio-Economic Indicators: A Network Theory Approach” by Albert Yumol, FOSDEM 2021. Original recording: 2021/D.research/open_research_open_street_maps.webm from the FOSDEM video archive. This channel is an unofficial mirror; FOSDEM is a free and non-commercial event organised by the community for the community. Tue, 27 Oct 2026 23:30:32 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://peertube.watch https://peertube.watch/lazy-static/avatars/3b284627-b75f-409e-ac2e-10f4c2946f43.png https://peertube.watch/videos/watch/62205034-525b-4d3b-a958-3d368cb13d61 All rights reserved, unless otherwise specified in the terms specified at https://peertube.watch/about and potential licenses granted by each content's rightholder.