Title :
VASTvis — Visual analytics with multiple coordinated views: VAST 2010 Mini Challenge 2 award: Good analytic process and explanation
Author :
Walker, R. ; Cenydd, Llyrap ; Pop, S. ; Roberts, J.C.
Author_Institution :
Sch. of Comput. Sci., Bangor Univ., Bangor, UK
Abstract :
We present a multiple coordinated view system VASTvis with a central view and several mini-views around the side. Each view is coordinated together, where operations are linked between windows. Furthermore, the user can perform sequential queries on the data through a series of brushing operations. The tool was used to analyse the VAST 2010 Mini Challenge 2 dataset of Hospitalisation Records. In this article we describe how the tool was used to characterise the Pandemic Spread.
Keywords :
data analysis; data visualisation; medical administrative data processing; VAST 2010 Mini Challenge 2 dataset; VASTvis; brushing operations; hospitalisation records; multiple coordinated views; pandemic spread; sequential queries; visual analytics; Coordinated Multiple Views; VAST 2010; Visual Analytics; information visualization; pandemic visualization;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-9488-0
DOI :
10.1109/VAST.2010.5652644
