Today’s lecture is almost entirely structured based on:
Deluca, Eric, and Sara Nelson. 2017. “7. Lying With Maps.” In Mapping, Society, and Technology, edited by Steven Manson. Minneapolis, Minnesota: University of Minnesota Libraries Publishing. https://open.lib.umn.edu/mapping/chapter/7-lying-with-maps/.
The boundaries we aggregate data into are often arbitrary (i.e. not meaningful for the analysis)
If I’m studying air quality effects of a facility on surrounding populations, air pollution doesn’t stop at a zip code even if I aggregate my data by zip code.
Drawing boundaries in a different way would produce different results.
Gerrymandering
Prison-based Gerrymandering
How to Lie with Maps SDS 192: Introduction to Data Science Lindsay Poirier Statistical & Data Sciences , Smith College Fall 2022