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Jigsaw: Distributed and dynamic visualisation


The primary issue in Jigsaw is find ways in which visualisations can operate successfully in a distributed manner when having to deal with possibl millions of data items that may be, for example, incomplete, anomalous, or dynamically changing. The problem of visualising large data sets is well documented and is itself very much an active research area. However, the problem of uncertainty in data that is to be visualised has received little attention. This is termed uncertainty visualisation. What is missing at the moment is a way of incrementally building a visualisation from a stream data source, where the contents of that data source can only be guessed. This means that the generation algorithms and metaphors need to be inherently flexible to account for this uncertainty.

Maturity: Initial Research
Region: UK
Type: Open Call
Grant Value: £57,698.00
Start Date: 01/04/2003
End Date: Not specified
Project Status: funded
Funding Agency: EPSRC Core

Project Members
Prof Malcolm Munro

Collaborating Organisations
University of Durham

Component(s) Project Develops
This project is not associated with any components at present.

Application Area(s) associated with Project
This project is not associated with any application areas at present.


Last Updated: 22 Jun 12 11:02
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