Information Visualisation

Information visualisation is the use of enhanced Graphical User Interfaces (GUIs) to communicate and interact with complex data sets such as social networks, multiattribute tables, and financial data.

Pages of text and numbers are not the most effective way to communicate or understand information. People prefer pictures. Interactive GUIs, where relevant attributes are mapped to qualities such as position, size, shape and colour, make it much easier to dynamically explore, manipulate and query data using both standard mouse and touch interactions.

The issues faced by, for example biologists, have driven many of the advances in information visualisation that we’ve made in the Institute. The sheer volume of data generated - in everything from molecular biology to environmental sciences - presents many challenges. We’ve devised novel visualisation techniques that allow biologists not only to see what’s going on in their data, but also communicate their discoveries to others. We’ve applied our expertise and research to a wide range of issues in the life sciences arena. These include the integration of disparate biological data sources in ecology; and identifying errors in data sets that include pedigrees, classifications and genomes.

We've also worked with several companies assiting them wiht visualisaiotn challenges. On thes epages you'll find information on our projects and publications. If you're interested in finding out more or working wiht us please get in touch!
 
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Case Studies link icon

  • Applying social network analysis (SNA) to gaming
    The games industry is changing the method of distribution from retail to online. GamesAnalytics Ltd has been created to provide analytic services to improve the profitability of the games industry. Because games are now generally played online detailed event information can be collected at...
  • Physiotherapy 3D self-assessment avatar
    For a number of years, there have been numerous online tools which have enabled people to perform some form of self-assessment of particular health conditions. However, on analysis, most of these tools are very generic, and do not provide intuitive questions and options based on previous answers...
  • Visual Analytics of Unknown Data Sets
    Using statistical methods and information visualisation involves working with known data sets to discover information locked within the data. I-nquire believes that businesses could benefit from advanced statistical techniques against arbitrary data sets.
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Projects link icon

  • Diagrams/ICCS 2018 Conference
  • DISTRO
    The DISTRO network brings together leading laboratories in Visual Computing and 3D Computer Graphics research across Europe with the aim of training a new generation of scientists, technologists, and entrepreneurs that will move Europe into a leading role in the scientific and technological...
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Contact linked in profile of Information Visualisation web page for Information Visualisation



j.kennedy@napier.ac.uk

+44 (0)131 455 2772

Room C53
Merchiston Campus
10 Colinton Road
Edinburgh
EH10 5DT

Selected Publications

Kerracher, N., Kennedy, J., Chalmers, K. (2014). The Design Space of Temporal Graph Visualisation. In: Elmqvist, N., Hlawitschka, M., Kennedy, J. (Eds.) Proceedings of the 18th Eurographics Conference on Visualization (EuroVis '14), Short Papers Track, () ( ed.). (pp. ). Swansea: . Eurographics Assocation.

Archambault, D., Abello, J., Kennedy, J., Kobourov, S., Ma, K., Miksch, S., Muelder, C., Telea, Alexandru C. (2014). Temporal Multivariate Networks. In: Kerren, A., Purchase, Helen C., Ward, Matthew O. (Eds.) Multivariate Network Visualization, LNCS 8380, () ( ed.). (pp. 151-175). : . Springer-Verlag.

Roberts, Jonathan C., Ritsos, P., Badam, S., Brodbeck, D., Kennedy, J. (2014). Visualization beyond the Desktop--the Next Big Thing. Computer Graphics and Applications, 34, (6), 26-34.

Kerracher, N., Kennedy, J., Chalmers, K. (2015). A Task Taxonomy for Temporal Graph Visualisation. IEEE Transactions on Visualization and Computer Graphics, , (), .

Shaw, P., Graham, M., Kennedy, J., Milne, I., Marshall, D. (2014). Helium: Visualization of Large Scale Plant Pedigrees. BMC Bioinformatics, 15, (), 259.

Graham, M., Kennedy, J. (2014). Vesper: Visualising Species Archives. Ecological Informatics, 24, (), 132-147.