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).
Using conda (recommended)¶
conda install -c conda-forge gerrychain
For this command to work as intended, you will first need to activate
the conda environment that you want to install GerryChain in. If
the environment you want to activate is called
vrdi (for example),
then you can do this by running
conda activate vrdi
If this command causes problems, make sure conda is up-to-date by running
conda update conda conda init
For more information on using conda to install packages and manage dependencies, see Getting started with conda.
To install GerryChain from PyPI, run
pip install gerrychain from
the command line.
This approach often fails due to compatibility issues between our
different Python GIS dependencies, like
shapely. For this reason, we recommend installing
from conda-forge for most users.
These guides show you how to get started using GerryChain:
We also highly recommend the resources prepared by Daryl R. DeFord of MGGG for the 2019 MIT IAP course Computational Approaches for Political Redistricting.
This document provides detailed documentation for classes and functions in GerryChain.