حي ــم الر الرحمن هللا بس ــم Information Peresented by: Visualization Fazel Farnia [email protected] Introduction The information revolution is changing the way many people live and think. Vast quantities and diverse types of information are being generated, stored, and disseminated, raising serious issues about how to make such information usable. Information visualization has evolved as an approach to make large quantities of complex information intelligible. What is Visualization? Visualize/Visualization: • To form a mental image • To imagine or remember as if actually seeing • Constructing a visual image in the mind Dr. John Snow, 1845 London cholera epidemic William Playfair, 1786 Published the first presentation graphics Information Visualization • The use of computer supported,interactive, visual representations of abstract information to amplify cognition. • InfoVis ≠ Data Vis Principal task of information visualization: allow information to be derived from data Principal Components of Information Visualization • Representation how the data is encoded usually in visual form • Presentation how suitably encoded data is laid out in: available display area time • Interaction actions performed by user to move from one view of the data to another Insight Human vision contains millions of photoreceptors and is capable of rapid parallel processing and pattern recognition. The impressive bandwidth of vision as a mode of communication leads to the efficient transfer of data from digital storage to human mind. Design Like any user interface, effective information visualizations are difficult to design. Fundamentally, information visualizations make abstract information perceptible. The two most challenging characteristics of information that make designing effective information visualizations difficult are: (1) complexity: supporting diverse abstract information that may have multiple interrelated data types and structures. (2) scalability: supporting very large quantities of information. The Process Of InfoVis Types of Information • Linear: Tables, program source code, alphabetical lists, chronologically ordered items, etc. • Hierarchies: Tree structures. • Networks: General graph structures, such as hypermedia node-link graphs, semantic networks, webs,etc. VISUALISING HIERARCHIES The Java Swing JTree tree view component. A view of directories on the left and their contents on the right. Information Structure • Tabular Structure • Spatial and Temporal Structure • Tree and Network Structure • Text and Document Collection Structure • Combining Multiple Structures Example Of Tree Cone Tree Goals of Information Visualization More specifically, visualization should: – Make large datasets coherent (Present huge amounts of information compactly) – Present information from various viewpoints – Present information at several levels of detail (from overviews to fine structure) – Support visual comparisons The Future • Information visualization is a relatively young field (e.g. the IEEE Symposium on Information Visualization started in 1995). • A few critical areas of need that should be explored in the foreseeable future include: Visualization of massive data Integrating visualization with the analysis context High-resolution visualization Conclusion The use of information visualization is improving of techniques for giving the best cognition. Slogan Of Information Visualization Is: Use Vision to Think References • INFO 424 October 3, 2006 Polle Zellweger • Chris North,Center for Human-Computer Interaction,Department of Computer Science Virginia Polytechnic Institute and State University. • Christian Tominski Computer graphics research seminar Rostock, June 28, 2005 • Jonathan I. Maletic, Ph.D.<SDML> Computer Science Kent State University • Dr. Keith Andrews IICM Graz University of Technology Inffledgasse 16c A-8010 Graz • Jeffrey Heer , Stuart K. Card , James A. Landay Group for User Interface Research • http://www.VRVis.at/ • http://www.ccwmagazine.com آقای شایان رضا مشاطیان، دنیای کامپیوتر و ارتباطات
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