Interactive Data Visualization - Foundations, Techniques, and Applications - Grand Format

Interactive Data Visualization : Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data. In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms. Full source code is provided for completing implementations.
New to the Second Edition : new related readings, exercises, and programming projects ; better quality figures and numerous new figures ; new chapter on techniques for time-oriented data. This popular book continues to explore the fundamental components of the visualization process, from the data to the human viewer. For developers, the book offers guidance on designing effective visualizations using methods derived from human perception, graphical design, art, and usability analysis.
For practitioners, it shows how various public and commercial visualization systems are used to solve specific problems in diverse domains. For researchers, the text describes emerging technology and hot topics in development at academic and industrial centers today. Features : covers the full range of data visualizations, including mathematical and statistical graphs, cartography for displaying geographic information, two- and three-dimensional scientific displays, and general information visualization techniques ; discusses implementation and language issues, performance demands and limitations, and application requirements and results ; describes how visualizations are used in knowledge discovery, problem solving, visual analytics, and other application areas, enabling visualization system users to select appropriate tools for their tasks ; explores directions for current and future research ; presents many exercises and programming projects at the end of each chapter ; offers a wealth of ancillary materials on the book's website, including software tools and example data sets.