Next Seminar
Comparing Listeners' and Designers' Listening Experiences
04/06/2013 Aalborg University, Nordkraft, Teglgaards Torv, 9000 Aalborg
IIDI News
Dr Ahmed Al-Dubai is the Guest-Co-Editor of a special issue in a leading international journal:...
11/05/2013
Professor Bill Buchanan invited to present at 2013 Annual Computing, ICT and Digital Media...
09/05/2013
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 biologists, for example, 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.
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 biologists, for example, 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.
Case Studies 
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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...
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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...
Projects
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Developing statistical and visualisation software for the visual analysis of games meta-data
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Scottish Woodlands Ltd is Scotland's leading independent full-service forest management company. It is also the second largest operator in the UK, with a network of 17 offices operating throughout Scotland, England, Wales and Northern Ireland.
Contact
m.graham@napier.ac.uk
+44 (0)131 455 2749
Room C51
Merchiston Campus
10 Colinton Road
Edinburgh
EH10 5DT
10 Colinton Road
Edinburgh
EH10 5DT
Selected Publications
Graham, M., Kennedy, J. (2010). A Survey of Multiple Tree Visualisation. Information Visualization, 9(4), 235-252.
Graham, M., Kennedy, J., Paterson, T., Law, A. (2011). Visualising Errors in Animal Pedigree Genotype Data. Computer Graphics Forum , 30(3), 1011-1020.
Kandel, S., Heer, J., Plaisant, C., Kennedy, J., Ham, F., Riche, N., Weaver, C., Lee, B., Brodbeck, D., Buono, P. (2011). Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, October 2011(10), 271-288.
Graham, M., Kennedy, J. (2008). Multiform Views of Multiple Trees. In: Proceedings of IV2008. (pp. 252-257). London, UK: IEEE Computer Society Press.
Paterson, T., Graham, M., Kennedy, J., Law, A. (2012). VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees. BMC Bioinformatics, 13 (Suppl 8)(S5).
Craig, P., Kennedy, J. (2008). Concept Relationship Editor: A visual interface to support the assertion of synonymy relationships between taxonomic classifications. In: Börner, K., Gröhn, M., Park, J., Roberts, J. (Eds.) Visualization and Data Analysis 2008, Proceedings of the SPIE, 6809. (pp. 680906-680912). San Jose, CA: Society of Photo-Optical Instrumentation Engineers, Bellingham, WA, ETATS-UNIS .
Keywords: visual analytics
