Week 11: Cartography

Data Wrangling and Visualization

Due This Week: Problem Set 9

Readings & Reference Material

Lecture: An Introduction to Cartography

Reading

• Core Reading
  • DV, ch 7
  • DMSS, ch 11
  • “Color, Classification, and Choropleth Symbolization”
• Cartography Illustrations
  • Why all world maps are wrong
  • How to avoid being fooled by bad maps
  • Projection comparison
  • The True Size Of
• Reference Materials
  • Brunsdon and Comber, An Introduction to R for Spatial Analysis and Mapping. An excellent introdution to using R as a GIS package.
  • Brunsdon and Comber, Geographical Data Science and Spatial Data Analysis: An Introduction in R. Despite its name, a companion book to the above, not a replacement. It’s a little higher level.
  • Field, Cartography. A foundational guide to cartography with a computer.
  • Lovelace, et al. Geocomputation with R. A more in depth guide to spatial data in R.
  • Bivand, et al. Applied Spatial Data Anlaysis with R. Another more in depth guide to spatial data in R.
  • Singleton, et al. Urban Anlaytics.

Due Next Week: Problem Set 10