Item description for Handbook of Data Visualization (Springer Handbooks of Computational Statistics) (Springer Handbooks of Computational Statistics) by Chun-houh Chen...
Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the series Springer Handbooks of Computational Statistics gives an overview of modern data visualization methods, both in theory and practice. There are definitive chapters on modern graphical tools such as mosaic plots, parallel coordinate plots and linked views. There are chapters dedicated to graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well as chapters on software for graphics. Specialists from all over the world have contributed papers on their areas of expertise.
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Est. Packaging Dimensions: Length: 9.45" Width: 6.06" Height: 1.5" Weight: 3.17 lbs.
Release Date Mar 11, 2008
ISBN 3540330364 ISBN13 9783540330363
Availability 97 units. Availability accurate as of Jan 18, 2017 01:28.
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Reviews - What do customers think about Handbook of Data Visualization (Springer Handbooks of Computational Statistics) (Springer Handbooks of Computational Statistics)?
935 pages, 569 Figures, 50 Tables, See Image Aug 21, 2008
I gained access to this book free, via the sponsor of our non-profit's first year of operations, or I would not have bought it. It is a "great work" in the classic sense, and merits total respect. It must certainly be in the library of any university or college with ambitions to educate those who will lead the next wave moving us toward Web 3.0 and Web 4.0.
The publisher has been responsible about posting useful information (see inside the book, the second active link below the cover on this page) so I urge anyone thinking about this work, at this price, to print and attach the table of contents to their requisition.
The book does NOT make the leap to geospatially-referenced data or infinite end-user tagging of data, but it is certainly a foundation endeavor and I recommend it on that basis.
The other books being read by our senior "working" technologist include: A New Ecology Perspective by Sven Jergensen et al (Elsevier, not on this site that I can find) Information Visualization: Beyond the Horizon Building Trustworthy Semantic Webs
Most of what we are reading these days are research reports that are outrageously priced and really should be affordable books and also free online, but most authors are too willing to give away their intellectual property for a pittance at tis time. Personally, I am betting on humans linked with low cost information sharing and group sense-making tools, and I am NOT holding my breath for automated fusion, machine learning, artificial intelligence, or machine sense-making.
I admire, very much, the more affordable books on visualization offered by this site, and urge the individual reader to spend on more of those than on this one overly expensive basic reference (I would have priced it at $90).
See the image I have loaded under book cover for a sense of the nuances Earth Intelligence Network is exploring.