https://github.com/rrwen/geohoods-to
Geospatial dataset of 1000+ aggregated variables for neighbourhoods in Toronto, ON, CA
https://github.com/rrwen/geohoods-to
csv data dataset geo geojson gis neighborhood neighborhoods neighbourhood neighbourhoods open open-data toronto toronto-open-data
Last synced: 3 months ago
JSON representation
Geospatial dataset of 1000+ aggregated variables for neighbourhoods in Toronto, ON, CA
- Host: GitHub
- URL: https://github.com/rrwen/geohoods-to
- Owner: rrwen
- License: mit
- Created: 2022-02-12T05:10:50.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-18T02:55:44.000Z (over 3 years ago)
- Last Synced: 2025-02-08T21:11:21.530Z (4 months ago)
- Topics: csv, data, dataset, geo, geojson, gis, neighborhood, neighborhoods, neighbourhood, neighbourhoods, open, open-data, toronto, toronto-open-data
- Language: Jupyter Notebook
- Homepage: https://github.com/rrwen/geohoods-to/releases
- Size: 947 KB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# geohoods-to
* [Latest Release](https://github.com/rrwen/geohoods-to/releases/tag/v1.1)
* [Developer Notes](DEVELOPER.md)A geospatial dataset of over 1000+ spatially aggregated variables for neighbourhoods in Toronto, Ontario, Canada - primarily from city and police open data.
## Usage
The dataset is available as:
* One large `.geojson` file
* Several `.geojson` files separated by several source datasets
* Several `.csv` files of each variable that can be joined by `neighbourhood_id` to `nbhoods.geojson` to create a custom geospatial datasetGo to the [releases page](https://github.com/rrwen/geohoods-to/releases) for download options.
## Details
* The raw data sources are listed in [data.csv](src/data.csv)
* The entire process to generate the dataset is documented in three notebooks:
1. [src/download.ipynb](src/download.ipynb): code/notes for downloading raw data
2. [src/preprocess.ipynb](src/preprocess.ipynb): code/notes for preprocessing raw data
3. [src/run.ipynb](src/run.ipynb): code/notes for generating the final datasetsSee [DEVELOPER.md](DEVELOPER.md) for more details on how to reproduce the dataset.
## Contact
Richard Wen