Data Visualization: Principles and Practice

by Alexandru C. Telea

Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more.

Focusing on those techniques and methods with the broadest applicability...

• Format: Hardcover
• Language: English
• ISBN: 1466585269
• ISBN13: 9781466585263
• Release Date: September 2014
• Publisher: A K PETERS
• Length: 620 Pages
• Weight: 3.10 lbs.
• Dimensions: 1.2" x 7.8" x 9.5"

Customer Reviews

Beautiful book

I bought this book for a course that hasn't started yet, so I haven't looked at the book in depth. However, I already know the field to some degree and from leafing through the book it looks pretty good. Most impressive, though, is that every page is a full-color glossy-finish print. (Expensive, but beautful!)

An excellent reference for any advanced, college-level holding

Data visualization specialists use math, computer science and physics to create images that improve understanding of data sets, and this introductory text, perfect for college-level computer libraries and classroom assignment alike, offers a basic introduction to the field and its various visualization techniques. Here are cross-disciplinary keys to understanding such sets and how imaging and computer graphics works, with chapters blending math formulas with imaging techniques and specs. An excellent reference for any advanced, college-level holding strong in computer graphics or data visualization techniques. Diane C. Donovan California Bookwatch