| 1. |
- Ho, Quan, 1975-, et al.
(författare)
-
A Web-Enabled Visualization Toolkit for Geovisual Analytics
- 2011
-
Ingår i: Proceedings of SPIE, the International Society for Optical Engineering. - SPIE, Bellingham WA, ETATS-UNIS : SPIE - International Society for Optical Engineering. - 9780819484055 ; , s. 78680R-78680R-12
-
Konferensbidrag (refereegranskat)abstract
- We introduce a framework and class library (GAV Flash) implemented in Adobe’s ActionScript, designed with the intention to significantly shorten the time and effort needed to develop customized web-enabled applications for visual analytics or geovisual analytics tasks. Through an atomic layered component architecture, GAV Flash provides a collection of common geo- and information visualization representations extended with motion behavior including scatter matrix, extended parallel coordinates, table lens, choropleth map and treemap, integrated in a multiple, time-linked layout. Versatile interaction methods are drawn from many data visualization research areas and optimized for dynamic web visualization of spatio-temporal and multivariate data. Based on layered component thinking and the use of programming interface mechanism the GAV Flash architecture is open and facilitates the creation of new or improved versions of existing components so that ideas can be tried out or optimized rapidly in a fully functional environment. Following the Visual Analytics mantra, a mechanism “snapshot” for saving the explorative results of a reasoning process is developed that aids collaboration and publication of gained insight and knowledge embedded as dynamic visualizations in blogs or web pages with associative metadata or “storytelling”.
|
|
| 2. |
- Lundblad, Patrik, 1982-, et al.
(författare)
-
Exploratory Visualization for Weather Data Verification
- 2011
-
Ingår i: Proceedings of the 15th Information Visualisation (IV), 2011. - : IEEE. - 9781457708688 ; , s. 306-313
-
Konferensbidrag (refereegranskat)abstract
- Today weather forecasts assist in the preparation of roads during the winter season to avoid accidents resulting from snow, rain and slipperiness. As with any weather forecast there is always a search for improvement. One way to do this is by verifying the forecasted parameters with the actual weather observed in the forecasted area. To facilitate identification of significant trends and patterns within weather data we have developed an application based on interactive information visualization techniques. The application was created in close collaboration with domain experts from the Swedish Meteorological and Hydrological Institute and initial feedback from a performed user study shows that interactive visualization speeds up the analysis process as well as increases flexibility compared to currently used manual methods.
|
|
