I'm a senior at NYU, this is the repository with all the code I've written for my thesis. I'm studying fare evasion arrests in New York City. All the important helper functions are in process.py. I generally import process as fe (stands for fare evasion). The Interactive Maps notebook demonstrates a lot of the functionality, and I'll be adding more as I have time. Overall, the goal of these functions is to make interfacing with and aggregating publicly available arrest data easy for researchers. Pretty much all of them were written to make my own life easier during my research, but I'd like to have a consistent, sensible, and flexible workflow for this repo by the end of the project.

If you'd like to interactively explore this data, go to the github pages version of this repo

brew install gdal
pip install -r requirements.txt

All the data needed to explore fare evasion arrests is included in this repo (the process by which I created the data sets will be added here shortly, and be explained in an upcoming paper). If you would like to recreate this data set from the source, or with alternative parameters, you must first download the Year-To-Date and the Historic arrest record data sets from NY Open Data to the data directory. Instructions for replicating the data set with different parameters can be found in the Filter Arrests notebook.

This project is currently in the very early stages of development, but if you would like to help improve the code or add functionality please feel free to reach out to me, fork, and add pull requests!