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Graphics Work
Original Documents
Python Code
Supporting Data
.DS_Store
Final Presentation.jpg
README.md

README.md

Long Distance Relationships: Using Census Tract Data To Explore The Disconnect Between Food Bank Location and Need

INTRODUCTION

The deliverable of this project is a visualization that shows the access to food banks in Ohio and the need for food banks in Ohio. This visualization was created by overlaying two different sources of data to see emerging trends.

PROCESSES

To create the drive time data, first, a list of census tracts with center coordinates were produced. Then python code was run to calculate driving time from that center coordinate to the nearest foodbank. This was achieved by utilizing Open Source Routing Machine. Next, we received SNAP data about food insecurity from the Census. Our final step was overlaying these two data sources in QGIS to produce a meaningful visualization.

FOLDER LAYOUT

  • Graphics Work: contains files relating to creating end visualization.
  • Original Documents: outlines task and mission of project.
  • Python Code: python code for drive time.
  • Supporting Data: various data sources used throughout the project.

FINAL FILE

AUTHORS

  • Brett Bejcek
  • Kyle Voytovich
  • Justin Gurtz