Thin client visualization

VAST IEEE Symposium on Visual Analytics Science and Technology 2007, Proceedings

Volumn , Issue , 2007, Pages 51-58

  Eick, Stephen G ^a   Eick, M Andrew ^a   Fugitt, Jesse ^a   Horst, Brian ^a   Khailo, Maxim ^a   Lankenau, Russell A ^a  

^a SSS Research Inc   (United States)

Author keywords

JavaScript; Linked view visual analytics; Scalable vector graphics; Visualization components; Web 2.0

Indexed keywords

GEO-SPATIAL; REAL-TIME COLLABORATION; SCALABLE VECTOR GRAPHICS (SVG); THIN CLIENTS; USER EXPERIENCE; VISUAL ANALYTICS; VISUALIZATION FRAMEWORK; WEB 2.0;

GRAPHIC METHODS; MAPS; STANDARDS;

VISUALIZATION;

EID: 47349098833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2007.4388996     Document Type: Conference Paper

References (9)

1. Stuart Card, Jock Mackinlay, Ben Shneiderman, Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann, 1999.
2. Ben Shneiderman, Designing the User Interface, Addison Wesley, Third Edition, 1998.
3. National Geospatial Agency, Military Standard Raster Product Format, 6 October 1994.
4. www.lizardtech.com
5. Dona Maurer, "Usability for Rich Internet Applications", Digital Web Magazine, 20 February, 2006.
6. Dojo Foundation, "dojo, the Javascript Toolkit", available at http://dojotoolkit.org/.
7. Sam Stephenson., "prototype JavaScript Framework", available at http://prototype.conio.net/.
8. Martin LaMonica, "Microsoft gets hip to AJAX," CNET, 27-June 2005, available at http://news.com.com/Microsoft+gets+hip+to+AJAX/2100- 1007_35765197.html
9. Stephen G. Eick, Visual Discovery and Analysis [Journal] // {IEEE Transactions on Computer Graphics and Visualization. - 2000. - 1 : Vol. 6. - pp. 44-59.