Data Forest: A Collaborative Version

Authors:
Ronan Jamieson;Adrian Haffegee;Priscilla Ramsamy;Vassil Alexandrov
Affiliations:
Advanced Computing and Emerging Technologies Centre, The School of Systems Engineering, University of Reading, Reading, RG6 6AY, United Kingdom;Advanced Computing and Emerging Technologies Centre, The School of Systems Engineering, University of Reading, Reading, RG6 6AY, United Kingdom;Advanced Computing and Emerging Technologies Centre, The School of Systems Engineering, University of Reading, Reading, RG6 6AY, United Kingdom;Advanced Computing and Emerging Technologies Centre, The School of Systems Engineering, University of Reading, Reading, RG6 6AY, United Kingdom
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Year:
2007

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Abstract

As we increase our ability to produce and store ever larger amounts of data, it is becoming increasingly difficult to understand what the data is trying to tell us. Not all the data we are currently producing can easily fit into traditional visualization methods. This paper presents a new and novel visualization technique based on the concept of a Data Forest. Our Data Forest has been developed to be utilised by virtual reality (VR) systems. VR is a natural information medium. This approach can easily be adapted to be used in collaborative environments. A test application has been developed to demonstrate the concepts involved and a collaborative version tested.