Thin client visualization

被引：8
|
作者：
Eick, Stephen G. [1 ]
Eick, M. Andrew [1 ]
Fugitt, Jesse [1 ]
Horst, Brian [1 ]
Khailo, Maxim [1 ]
Lankenau, Russell A. [1 ]
机构：
[1] SSS Res Inc, Naperville, IL 60540 USA
来源：
VAST: IEEE SYMPOSIUM ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY 2007, PROCEEDINGS | 2007年
关键词：
web; 2.0; !text type='Java']Java[!/text]Script; scalable vector graphics; visualization components; linked view visual analytics;
D O I：
10.1109/VAST.2007.4388996
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We have developed a Web 2.0 thin client visualization framework called GeoBoost (TM). Our framework focuses on geospatial visualization and using Scalable Vector Graphics (SVG), AJAX, RSS and GeoRSS we have built a complete thin client component set. Our component set provides a rich user experience that is completely browser based. It includes maps, standard business charts, graphs, and time-oriented components. The components are live, interactive, linked, and support real time collaboration.
引用
收藏
页码：51 / 58
页数：8
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