Chairman: Prof Ken Brodlie, University of Leeds
Introduction to the day as publicised before the event
Information visualization aims to provide insight into the wide range of information structures that need to be studied today. Where scientific visualization is mainly concerned with numeric data, information visualization also deals with text and attributes. It also deals with graphs, trees and databases as well as arrays. In many applications - which include text, design spaces, surveys, genomes and cartography - the datasets are huge and the prior knowledge uncertain.
This VVECC event offers an opportunity to learn about the current state-of-the-art in information visualization, its opportunities and applications. The event will be of interest to both application professionals and computer scientists.
All speakers are providing online material which is made accessible here when received.
Prof Daniel Keim,
Computer Science Institute, University of Konstanz
Information Visualization Techniques for Exploring Large Databases - abstract / slides in PDF form - 8.7 MB)Prof Michael Batty,
Center for Advanced Spatial Analysis, University College London
Visualisation, Cities and Large Data Bases - abstract / slides (in PowerPoint form - 7.5 MB)Dr Chaomei Chen,
The VIVID Research Centre, Brunel University
Visualizing the Growth of Scientific Paradigms - abstract / slides in PDF form - 1.4 MB)Dr Helen Wright,
Department of Computer Science, University of Hull
Navigating High-Dimensional Spaces - abstract / slides (in PowerPoint form 0.1 MB - slide 15 links to two AVI movies which are also accessible from here: the solution space (4.7MB) and the parameter space (2.2MB) )Prof Robert Spence,
Electrical and Electronic Engineering Department, Imperial College, London
Exploitation of the time variable - abstract / slides (in PowerPoint form - 0.3 MB - excludes some copyrighted material shown on the day)Dr David Duke,
Department of Mathematical Sciences, University of Bath
The Effective Representation of Large Graphs - abstract / slides (in PowerPoint form - 0.5 MB)Dr Michele Clamp
The Sanger Centre, Genome Campus, Hinxton, Cambridge
Visualization of Genome DataProf Dan Shapiro,
Department of Sociology, Lancaster University
Visualizing Information for Work Practice: Context and Collaboration - abstract / slides (in PowerPoint form - 1.1 MB - slide 2 links to an MPEG movie which is also accessible from here (3.3MB))