Essential Reference, Slightly Disappointing for Me Personally, August 21, 2008
Chaomei Chen
I had already decided to grade this a four instead of five, in part because it makes me cranky when world-class authors such as the author of this book neglect other world-class pioneers because of their unwillingness to do a proper search outside their own narrow boundaries. I refer of course to Dick Klavens, Brad Ashford, and Katy Borner, whose Maps of Science are online and spectacular. Even Eugene Garfield, the inventor of citation analysis, gets short shrift.
That aside, the book is an essential reference. While it makes the needed point, that first generation visualization was about showing structure and relationships, and second generation visualization needs to be more dynamic and depict evolutionary and revolutionary changes and mutations (and I would add, provide early warning of anomalies and emergent patterns).
The last chapter, 8, on Detecting Abrupt Changes and Emerging Trends, is very interesting, but heavy on mathematics, and lacking in great detail, which reminds me this is really an overview text, and should be valued in that light. Two examples of fraud detection that I have personally seen as representative of the power of visualization include Dr. Bert Little's discover of $79 million in crop insurance fraud among roughly seven insurance agents and 20+ specific farmers; and the brilliant work of Dr. Simon J. Pak and Dr. John S. Zdanowicz who found $5o billion a year in import-export tax fraud (and Colombian coffee cans marked one pound and weighing 1.5 pounds) through their exploitation of public Department of Commerce databases.
This book has been assigned to our senior working technical person along with three others listed below.
A New Ecology: Systems Perspective, Sven Jorgensen et al (Elsevier, 2007), not on Amazon that I could find
Handbook of Data Visualization (Springer Handbooks of Computational Statistics) (Springer Handbooks of Computational Statistics)
Information Visualization: Beyond the Horizon
Building Trustworthy Semantic Webs
For myself, I put the book down thinking to myself, citation analysis is all well and good, but how do we integrate co-visualization of content, geospatial, money (e.g. “true costs” of each aspect or attribute)?
I continue to admire the work of Peter Morville, such as Ambient Findability: What We Find Changes Who We Become. His name does not appear in the index either. See also: Keeping Abreast of Science and Technology: Technical Intelligence for Business
