No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Guest editorial: Special issue on visualization and computer graphics
Abstract
In the decade of data explosion, a significant challenge is how to transform data into understandings and insights that are useful to people. Visualization, the use of computer-supported, interactive visual representations of data to amplify cognition
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</sup>
, is an important approach to addressing this challenge. In particular, scientific visualization primarily represents physical or geometric data while information visualization mainly represents abstract data such as text documents, graphs, and multidimensional data. Visual analytics, springing out of the fields of information visualization and scientific visualization, is an emerging research area that targets analyzing massive amounts of information for timely decision making
<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[2]</sup>
. Its basic approach is to use interactive visual interfaces to facilitate analytical reasoning so that human perception abilities and domain knowledge can be exploited together with computational powers. Closely related to visualization, computer graphics is primarily about representation and manipulation of image data by a computer.
ResearchGate has not been able to resolve any citations for this publication.
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.
* 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 is the book form of the Research and Development Agenda for Visual Analytics to be published by IEEE in 2005.