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https://github.com/nismod/whereto
DAFNI conference 2019 hack project: neighbourhood discovery
https://github.com/nismod/whereto
Last synced: about 2 months ago
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DAFNI conference 2019 hack project: neighbourhood discovery
- Host: GitHub
- URL: https://github.com/nismod/whereto
- Owner: nismod
- License: mit
- Archived: true
- Created: 2019-06-11T11:59:33.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-04-28T10:54:32.000Z (over 3 years ago)
- Last Synced: 2024-08-08T18:25:07.880Z (5 months ago)
- Language: JavaScript
- Homepage: https://nismod.github.io/whereto/
- Size: 2.07 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-starred - nismod/whereto - DAFNI conference 2019 hack project: neighbourhood discovery (others)
README
> Note: this hack day project is not maintained and will be archived
# ↫ Where to?
[DAFNI](https://www.dafni.ac.uk/) conference 2019 hack project: neighbourhood discovery
Brief: how to find a place to live in Newcastle?
- sketch exploration in `docs/design-sketches.pdf`
- very preliminary UI demo in react app## Getting started
The project frontend is a React web application, started using `create-react-app` and deployed
statically to GitHub PagesInstall dependencies (assuming node.js and npm are already available):
cd whereto
npm installRun for development:
npm start
Deploy to GitHub Pages:
npm run deploy
## Related visualisations
House prices in small areas (England and Wales):
- http://oobrien.com/2019/06/house-prices/
- https://maps.cdrc.ac.uk/#/metrics/houseprices/default/BTTTFFT/9/-0.2215/51.3247/Neighbourhood distinctiveness based on business location and type (New York and Seattle):
- https://pudding.cool/2018/03/neighborhoods/## License
```
MIT License
Copyright 2019 whereto contributors
```