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Visual Analytics Course

All references listed here have been mentioned somewhere in the course pages or exercises. Feel free to suggest supplementary references (links to books, websites, blogs, wikipedia pages, etc.)

Websites worth visiting

Browse them, look at images, find the paper(s), implement.


Visual Analytics

Ward, M. O., G. Grinstein, et al. (2010). Interactive Data Visualization: Foundations, Techniques, and Applications, A. K. Peters.

This is the main book we used to get inspiration when writing this course. The book covers all issues concerning Visual Analytics. What I particularly like about the book is that each chapter is followed by suggestions for exercises and projects – if you look closely, you'll recognize exercises and projects I have borrowed.

Access the companion website of the book.

High dimensional data & Dimensionality reduction

Lebart, L., M. Piron, et al. (2006). Statistiques exploratoire multidimensionnelle - Visualisations et inférences en fouille de données, Dunod.

There must be thousands of similar introductory books on PCA and data analysis. But I specially like the style of these authors. And they moreover have a taste for visualization (!). Have a look at the first chapter – relates to the PCA part concerning high-dimensional data.

Ingwer Borg, Patrick J. F. Groenen (2005). Modern multidimensional scaling: theory and applications. Springer Series in Statistics.

This book provides a clear exposition about MDS, together with historical background and considerations on (ultra)metric spaces and applications in social sciences. The web pages by van Deun and Delbeke also offer quite a good introduction to the topic.

For the convenience of our readers, we provide access to Chapter 7 going over basic matrix algebra, and Chapter 8 giving a full account of a classical matrix solution to MDS.

Graph drawing

Graph Drawing is now well covered in these general audience books:

Handbook of Graph Drawing and Visualization. Roberto Tamassia, Editor, CRC Press (to appear).

Kaufmann, M. and D. Wagner, Eds. (2001). Drawing Graphs, Methods and Models. Lecture Notes in Computer Science, Springer.

di Battista, G., P. Eades, et al. (1998). Graph Drawing: Algorithms for the Visualisation of Graphs, Prentice Hall.

The beauty of visualization

The books by Edward Tufte remain foundational texts, and even gems of literature. Try to have a look at it if they're available at your local library.

  • Edward Tufte (1983) The Visual Display of Quantitative Information, Graphics Press.
  • Edward Tufte (1990) Envisioning Information, Graphics Press.
  • Edward Tufte (1997) Explanations: Images and Quantities, Evidence and Narrative, Graphics Press.

Visual Analytics courses websites found on the web

Feel free to browse the web, add a link and a comment.

/net/html/perso/melancon/Visual_Analytics_Course/data/pages/usereditable/bibliography_and_external_links.txt · Last modified: 2012/10/26 15:00 by melancon