dc.contributor.author | Sanderson, Allen R. | en_US |
dc.contributor.author | Whitlock, Brad | en_US |
dc.contributor.author | Rübel, Oliver | en_US |
dc.contributor.author | Childs, Hank | en_US |
dc.contributor.author | Weber, Gunther | en_US |
dc.contributor.author | Prabhat, Mr | en_US |
dc.contributor.author | Wu, Kenseng | en_US |
dc.contributor.editor | Kresimir Matkovic and Giuseppe Santucci | en_US |
dc.date.accessioned | 2013-11-08T10:21:27Z | |
dc.date.available | 2013-11-08T10:21:27Z | |
dc.date.issued | 2012 | en_US |
dc.identifier.isbn | 978-3-905673-89-0 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/PE/EuroVAST/EuroVA12/025-029 | en_US |
dc.description.abstract | Today scientists are producing large volumes of data that they wish to explore and visualize. In this paper we describe a system that combines range-based queries with fast lookup to allow a scientist to quickly and efficiently ask "what if?" questions. Unique to our system is the ability to perform "cumulative queries" that work on both an intra- and inter-time step basis. The results of such queries are visualized as frequency histograms and are the input for secondary queries, the results of which are then visualized. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.6.6 [Simulation Output Analysis]: Visual analytics- Query based analysis | en_US |
dc.title | A System for Query Based Analysis and Visualization | en_US |
dc.description.seriesinformation | EuroVA 2012: International Workshop on Visual Analytics | en_US |