This is the first book to examine information visualization from the perspective of its contribution to a broader range of cognitive, social, and collaborative activities. This 2nd edition continues the unique and ambitious quest for setting information visualization and virtual environments in a unifying framework. It pays special attention to the advances made over the last five years and the potentially fruitful directions to pursue. There are full color pictures throughout and the text is practitioner-friendly. The book contains up to date descriptions of the latest advances in the subject and it offers comprehensive coverage of knowledge discovery, network evolution, and emergent patterns detection. It is particularly updated to meet the need for practitioners. The book is a valuable source for researchers and graduate students. This new edition is forwarded by Ben Shneiderman of the University of Maryland.

Full colour figures throughout Easy to understand and practitioner-friendly Up to date descriptions of the latest advances Comprehensive coverage of knowledge discovery, network evolution, and emergent patterns detection Visionary account for the most promising research fronts Citation visualization for chapters as roadmaps Includes supplementary material: sn.pub/extras

Inhalt
Extracting Salient Structures.- Graph Drawing Algorithms.- Systems and Applications.- Knowledge Domain Visualization.- Empirical Studies of Information Visualization.- Virtual Environments.- Detecting Abrupt Changes and Emerging Trends.