omarkawach / computer-access-for-homeless-in-ottawa

An end of semester GIS project and submission for the Esri Canada GIS Scholarship 2021.

Analysis of Computer Accessibility for Vulnerable Populations in Ottawa

Author: Omar Kawach

Purpose: Submission for the 2021 Esri Canada Higher Education Award

Description: Originally built as an end of semester independent project for my Advanced Topics in Geographical Informational Sciences Course at the University of Victoria

Final Report

Story Map: Computer Accessibility for Vulnerable Populations in Ottawa

Poster

Source Code

See PACs Solver Jupyter Notebook

Run the Script

Jupyter Notebook (in Browser)

Note: The Binder may take a few minutes to build.

Windows

Install Anaconda Navigator

Get GeoPandas

• Open Anaconda Prompt as admin and create a new environment called geo_env.
• Next, open Anaconda Navigator and click on Home and set Applications on to geo_env instead of base (root).
• Click the install button for Spyder in the Anaconda Navigator.
• After all these steps you should be ready to run the new environment in Spyder for Python scripting.

Other libraries such as Matplotlib

• Use pip install [name-of-library] in the geo_env.

To use Jupyter Notebook in geo_env

• Open Anaconda Prompt as admin and run pip install ipykernel and conda install pywin32
• Download the Python extension in VSCode

Credits and Acknowledgements

Special thank you to the University of Victoria for the nomination and my Advanced Topics in Geographical Informational Sciences Course, where this project was originally conducted, and was instructed by Professor Jessica Fitterer

Jordahl, K. (2014). GeoPandas: Python tools for geographic data. URL: https://github.com/Geopandas/Geopandas.

Data Sources

Ottawa Neighborhoods from Carleton University

Publicly Accessible Computers from Open Ottawa

Shelters from a simple Google Search

Road Network Files from Statistics Canada

OC Transpo Routes from Carleton University