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.