Mesa-Geo 0.9.1

GIS Agent-based modeling (ABM) in Python

Mesa-Geo: GIS Extension for Mesa Agent-Based Modeling

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Mesa-Geo implements a GeoSpace that can host GIS-based GeoAgents, which are like normal Agents, except they have a geometry attribute that is a Shapely object and a crs attribute for its Coordinate Reference System. You can use Shapely directly to create arbitrary geometries, but in most cases you will want to import your geometries from a file. Mesa-Geo allows you to create GeoAgents from any vector data file (e.g. shapefiles), valid GeoJSON objects or a GeoPandas GeoDataFrame.

Using Mesa-Geo

To install Mesa-Geo, run:

pip install -U mesa-geo

Mesa-Geo pre-releases can be installed with:

pip install -U --pre mesa-geo

You can also use pip to install the GitHub version:

pip install -U -e git+https://github.com/projectmesa/mesa-geo.git#egg=mesa-geo

Or any other (development) branch on this repo or your own fork:

pip install -U -e git+https://github.com/YOUR_FORK/mesa-geo@YOUR_BRANCH#egg=mesa-geo

Take a look at the examples repository for sample models demonstrating Mesa-Geo features.

For more help on using Mesa-Geo, check out the following resources:

• Introductory Tutorial
• Docs
• Mesa-Geo Discussions
• PyPI

Contributing to Mesa-Geo

Want to join the team or just curious about what is happening with Mesa & Mesa-Geo? You can...

• Join our Matrix chat room in which questions, issues, and ideas can be (informally) discussed.
• Come to a monthly dev session (you can find dev session times, agendas and notes at Mesa discussions.
• Just check out the code at GitHub.

If you run into an issue, please file a ticket for us to discuss. If possible, follow up with a pull request.

If you would like to add a feature, please reach out via ticket or join a dev session (see Mesa discussions). A feature is most likely to be added if you build it!

Don't forget to check out the Contributors guide.

Citing Mesa-Geo

To cite Mesa-Geo in your publication, you can use the CITATION.bib.