"Good luck with that": Tag Teaming Civic Data
summary
A Ruby on Rails capstone claims a usable street-parking product built in four weeks by pairing; actual work uses the city ArcGIS map server, KML/ping overlays, shapefiles parsed via Python, and a rails API that caches requests with CarrierWave to S3 and background jobs. Surprises: projection mismatch solved by a wrong-but-working spatial reference id, public open-data stale since 2011, and a scraping strategy that may need 2–300 queries per citywide refresh. Result: a minimal viable mobile web/ iOS app that users already find helpful.
AI-written summary · about
chapters (22)
- 0:00Introduction
- 1:40The Problem
- 2:48The Map
- 3:17Open Data
- 3:33Arcgis
- 4:15Problems
- 5:31Ping Overlay
- 6:26Backend
- 6:40City Government
- 6:50Comment
- 7:22Map Projections
- 9:06Data Storage
- 10:09Presentation Day
- 11:57Mentorship
- 15:22Learning the hard way
- 16:25Phase 3 Python
- 16:55Bad Data
- 17:20The Solution
- 18:09Demo
- 20:32Conclusion
- 20:48Challenges
- 23:09Outro
related talks
06mHow Open Data is Making ...
46mGetting Down To Earth: Geospatial Analysis With Rails
24mGeo+Django: Geo beyond the Django
40mStronger App Architecture Using Maps
01h 20mLightning Talks
49mSaving the world with JavaScript: A Data Visualization story
05mUnlocking Real-Time Data
19m"Realizing Spatial Intelligence on
