Understanding our cities with FOSS4G
summary
Open-source R and Python workflows use OpenStreetMap and Google Street View to build city analyses: tmap and folium for maps, code on a companion webbook and GitHub, and simple queries to pull building polygons and street networks. Examples include figure–ground diagrams for Mumbai, New York and Islington; routing-derived catchments and isochrone/catchment polygons; a link-usage heatmap showing up to 4,000–5,000 route counts on key streets; and walkability models that add incline to travel time (some suburbs ~30 minutes to nearest playground).
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chapters (10)
- 0:00Introduction to FOSS4G for cities
- 1:07From urbanite to urbanist
- 3:19Visualizing urban environments
- 6:28Analyzing point data like cafes
- 8:14Transport networks and routing
- 12:29Walking accessibility in hilly cities
- 14:14Public transport vs car access
- 15:18Building and figure ground analysis
- 17:51Resources and closing
- 18:14Q&A on tools and insights
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