This workshop was designed and taught by Dr. Jeff Allen. At the time of recording, Dr. Allen is the Data Visualization Lead at the University of Toronto, School of Cities. You can find more of Dr. Allen’s work at http://jamaps.github.io/about.html

Maps can be great tools for exploratory analysis and communicating research findings. This workshop will cover intermediate-to-advanced thematic cartography aimed to help health geographers visualize their data. The first part of the workshop will provide general guidelines for designing better maps (symbology, layers and hierarchy, balance and alignment, and accessibility). We will then use Python and QGIS to create three types of thematic maps 1) dasymetric dot density maps 2) bivariate choropleth maps and 3) origin-destination flow maps. The final part of the workshop will introduce open-source graphic design software (Inkscape) to show how to create clear and effective map layouts based on visual design principles. We will also discuss how to best prepare and export maps for different types of publications, e.g. how to design maps specifically for journal articles, posters, presentation slides, public reports, websites, blog posts, etc. This workshop will use a provided dataset from CANUE and supplemental open datasets. Previous Introductory knowledge of Python and GIS Is recommended. This workshop uses open source tools and open source data.

This workshop is in three parts:

Bivariate Maps Codebook:
https://mybinder.org/v2/gh/schoolofcities/mapping-workshops-2023/HEAD?urlpath=lab%2Ftree%2Fnotebooks%2Fbivariate-maps%2Fbivariate-maps.ipynb

Categorical Dot Maps Codebook:
https://mybinder.org/v2/gh/schoolofcities/mapping-workshops-2023/HEAD?urlpath=lab%2Ftree%2Fnotebooks%2Fcategorical-dot-maps%2Fcategorical-dot-maps.ipynb

Flow Maps Codebook:
https://mybinder.org/v2/gh/schoolofcities/mapping-workshops-2023/HEAD?urlpath=lab%2Ftree%2Fnotebooks%2Fod-flow-maps%2Fod-flow-maps.ipynb

Please credit Dr. Jeff Allen whenever you use these files.