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GerryChain

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GerryChain is a library for using Markov Chain Monte Carlo methods to study the problem of political redistricting. Development of the library began during the 2018 Voting Rights Data Institute (VRDI).

The project is in active development in the mggg/GerryChain GitHub repository, where bug reports and feature requests, as well as contributions, are welcome.

.. toctree::
    :caption: User Guide
    :maxdepth: 2

    user/intro
    user/install
    user/quickstart
    user/recom
    user/partitions
    user/updaters
    user/data
    user/geometries
    user/optimizers

We also highly recommend the resources prepared by Daryl R. DeFord of MGGG for the 2019 MIT IAP course Computational Approaches for Political Redistricting.

.. toctree::
    :caption: API Reference
    :maxdepth: 2

    api


.. toctree::
    :caption: Topics
    :maxdepth: 1

    topics/reproducibility
    topics/tools
    topics/contributing
    topics/reporting


.. toctree::
    :caption: Index
    :maxdepth: 4

    full_ref