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

页码：51 / 58

页数：8

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