|
![]() |
|||
|
||||
OverviewThis volume presents the papers from the first workshop on perceptual issues in visualization. It addresses the issues and problems of creating perceptually-based presentations and presents innovative approaches to achieving such presentations. Through many examples, it describes color, geometric, and sound approaches to perceptually-based presentations. It suggests some guidelines and ""dos and dont's"" for such presentations. It discusses methods to evaluate them to ascertain their efficacy. And it explores the interactions with such presentations, once attained, and with the data they present. Full Product DetailsAuthor: Georges G. Grinstein , Haim LevkowitzPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Weight: 0.535kg ISBN: 9783540580966ISBN 10: 3540580964 Pages: 165 Publication Date: 13 April 1995 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of Contents1 Introduction.- 1.1 Workshop Format and Goals.- 1.2 Contents Overview.- Workshop Subgroup Reports-Research Areas.- Papers.- 2 Test Data Sets for Evaluating Data Visualization Techniques.- 3 Interaction in Perceptually-Based Visualization.- 4 Harnessing Preattentive Perceptual Processes in Visualization.- 5 An Environment and Studies for Exploring Auditory Representations of Multidimensional Data.- 6 Perceptual Principles for Effective Visualizations.- 7 Interactivity and the Dimensionality of Data Displays.- 8 Towards Perceptual Control of Markov Random Field Textures.- 9 A Multidimensional Multivariate Image Evaluation Tool.- 10 Visualizing Electromagnetic Data.- 11 Possibilities and Limits in Visualizing Large Amounts of Multidimensional Data: Possibilities and Limits.- 12 Using a Lattice for Visual Analysis of Categorical Data.- 13 Audience Dependence of Meteorological Data Visualization.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |