Readings and Resources

These resources support the course. Readings will be assigned selectively, and you are not expected to read every item cover-to-cover. Items labeled “free online” are publicly accessible; others are available through the UC Berkeley Library.

Python and geographic data science

  • Geographic Data Science with Python (Sergio J. Rey, Dani Arribas-Bel, Levi John Wolf, 2023). Free online book.
  • How to Think Like a Computer Scientist, Interactive Edition (Runestone Interactive). Free online interactive textbook.
  • Think Python: How to Think Like a Computer Scientist (Allen B. Downey). Free online book.
  • Dark Data: Why What You Don’t Know Matters (David J. Hand, 2020). Online access via the UC Berkeley Library.

Visualization

  • Visualization Analysis and Design (Tamara Munzner, 2014). Online access via the UC Berkeley Library. Companion materials and videos.
  • Thematic Cartography and Geovisualization (Terry A. Slocum, Robert B. McMaster, Fritz C. Kessler, Hugh H. Howard, 4th ed., 2022).

Additional readings may be assigned during the semester.

This site uses Just the Docs, a documentation theme for Jekyll.