Readings in Information Visualization: Using Vision to Think (Interactive Technologies)

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About Readings In Information Visualization: Using Vision

Product Description This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, and other areas. Amazon.com Review This collection of classic and ground-breaking papers explores the issues involved in information visualization--thought versus perception, mental process versus graphic representation. In Readings in Information Visualization: Using Vision to Think, visualization is defined as "the use of computer-supported, interactive, visual representations of data to amplify cognition." The papers are organized into the categories of "Space," "Interaction," "Focus + Context," "Data Mapping: Document Visualization," "Infosphere, Workspace, Tools, and Objects," and "Using Vision to Think." Subcategories are divided into the following: 1-D, 2-D, and 3-D structures Multiple dimensions Trees Networks Dynamic queries Interactive analysis Fisheye views Alternate geometry Text in various dimensions The Internet Information workspaces Visually enhanced objects Discussions of the applications for and implications of visualization processes complete the book. Readings in Information Visualization: Using Vision to Think is targeted at research professionals in academia and industry; students new to the field; and professionals in statistics, information design, and medicine. The papers should be of particular interest to specialists in any area in which discovering the relationships between data and its visual representation is critical. --Kathleen Caster From the Back Cover This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, and other areas. Features Full-color reproduction throughout Author power team - an exciting and timely collaboration between the field's pioneering, most-respected names The only book on Information Visualization with the depth necessary for use as a text or as a reference for the information professional Text includes the classic source papers as well as a collection of cutting edge work | This groundbreaking book defines the emerging field of information visualization and offers the first-ever collection of the classic papers of the discipline, with introductions and analytical discussions of each topic and paper. The authors' intention is to present papers that focus on the use of visualization to discover relationships, using interactive graphics to amplify thought. This book is intended for research professionals in academia and industry; new graduate students and professors who want to begin work in this burgeoning field; professionals involved in financial data analysis, statistics, and information design; scientific data managers; and professionals involved in medical, bioinformatics, an