Details of Grant 

EPSRC Reference:	GR/S23636/01
Title:	Jigsaw: Distributed and dynamic visualisation generation
Principal Investigator:	Munro, Professor M
Other Investigators:
Researcher Co-Investigators:
Project Partners:	BlueSpace International Nectar Electronics Ltd
Department:	Computer Science
Organisation:	Durham, University of
Scheme:	Standard Research (Pre-FEC)
Starts:	01 April 2003	Ends:	31 March 2004	Value (£):	57,698
EPSRC Research Topic Classifications:	Computer Graphics & Visual. Networks & Distributed Systems
EPSRC Industrial Sector Classifications:	Information Technologies
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Panel History:
Summary on Grant Application Form
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.
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