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.

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