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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wood, J. Slingsby, A. Dykes, J. |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Informatics City University London (Wood, J.; Slingsby, A.; Dykes, J.) |
| Abstract | Using two of the VAST 2010 mini challenges as a case study, we report on the design decisions and software development process used to create visual analytics software for understanding disease spread and mutation. The software we developed and the analysis conducted attempted to help us understand (a) how a fictitious disease may have spread between selected cities around the globe; and (b) how genetic sequences taken from infected patients may be used to chart the evolution of the disease and changes in its severity, drug resistance and other characteristics. Underlying our approach to the visual analytics process is the idea that tool development and visual analysis using the tool are not separate processes. As such we do not use off-the-shelf, high level visual analytics packages, but instead the lower level programming environment Processing [4] — a graphically oriented set of Java libraries suitable for data visualization [3]. As well as providing the necessary graphics and interaction facilities, Processing is engineered to ease rapid prototyping and can therefore be used for iterative tool development — data analysis tasks. |
| Starting Page | 285 |
| Ending Page | 286 |
| File Size | 592466 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781424494880 |
| e-ISBN | 9781424494873 |
| DOI | 10.1109/VAST.2010.5652689 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
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