City as a Function
summary
F# code loads Prague open data via an Azure JSON type provider and a Florence JSON cloud helper, converts boundaries into H3 hex bins and computes real walking/cycling durations using the Mapbox distance API. The demo builds a tiny analysis stack in Polyglot notebooks, ranks dozens to hundreds of hex areas by distance to transit and named POIs, shows results change by orders of magnitude, and exposes strongly typed people/places and reusable ranking functions that run end to end.
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chapters (14)
- 0:00Introduction
- 1:28City as places and people
- 4:25City data modeling solutions
- 5:32Vital function concept
- 7:18Small screen city database
- 9:53Exploring data with F# and Florence
- 13:40H3 indexing for neighborhoods
- 16:11Distances to city facilities
- 19:51People in the analysis
- 23:33Walking distance rankings
- 26:07Multi-criteria evaluation
- 27:41People with typed distances
- 29:08Python integration and notebooks
- 30:18Closing
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