natural-language-geocoding 0.0.1

Natural Language Geocoding implements an AI technique to convert natural language descriptions of spatial areas into polygons.

natural-language-geocoding

Natural Language Geocoding implements an AI technique to convert natural language descriptions of spatial areas into polygons.

TODOS

• Add integration tests
  • Can have them just run locally for now
• Add unit tests

Installing and Using

pip install natural-language-geocoding
natural-language-geocoding init

Set the NOMINATIM_USER_AGENT environment variable to identify your application with the Nominatim API.

Running the demo

There's a streamlit demo in src/natural_language_geocoding_demo. It can be run by following these steps.

1. Set up AWS credentials. The demo uses AWS Bedrock Anthropic Claude as the LLM. Valid AWS access keys to an account need to be present.
2. Follow steps for local development
3. Run NOMINATIM_USER_AGENT=your-nominatim-user-agent scripts/run_demo.sh
4. It will open in your browser

Developing

1. Install python and uv
2. Checkout the code
3. Run scripts/recreate_venv.sh
4. Run PYTHONPATH=src python src/natural_language_geocoding/main.py init
5. Run pre-commit install to install the pre commit checks
6. Make changes
7. Verify linting passes scripts/lint.sh
8. Commit and push your changes

Attribution

OpenStreetMap

This library uses the OpenStreetMap Nominatim API for geocoding. Users of this library must follow OpenStreetMap's attribution guidelines

Users must also conform to the Nominatim Usage Policy. The environment variable NOMINATIM_USER_AGENT should be set to identify your application.

Natural Earth

This library uses coastlines from https://github.com/martynafford/natural-earth-geojson which is distributed under the CC0-1.0 license. These are downloaded when the project is initialized.