77779193永利集团
旧版入口
|
English
科研动态
杜清运实验室 博士生虞昌彬的论文在CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE刊出
发布时间:2013-09-09     发布者:yz         审核者:     浏览次数:

标题:Web map-based POI visualization for spatial decision support作者:Yu, Changbin; Ren, Fu; Du, Qingyun; Zhao, Zhiyuan; Nie, Ke

来源出版物:CARTOGRAPHY AND GEOGRAPHIC INFORMATION SCIENCE 卷:40 期:3 页:172-182 SI DOI:10.1080/15230406.2013.807030 出版年:2013

会议:International Cartographic Conference(ICC)会议地点:Dresden,GERMANY会议日期:AUG 25-30,2013

摘要: The ability to extract useful information from data is a topic of considerable interest, especially with regard to organizing point-of-interest (POI) information containing many attributes as well as data about business. In generating intuitive results from investigations of traditional relational databases, traditional scientific visualization approaches for multidimensional data (e.g., Visualization in Scientific Computing) are inefficient, and deficiencies are often encountered when organizing multidimensional POIs using current online mapping tools (e.g., Google Maps). A new web visualization strategy combining a tile base map and POI symbols is proposed in this study to address the problem.

In this strategy, web maps are used as the background, and POI symbols are overlaid on top of the geographical base map through a web visualization. The design and implementation of the variable model of the POI symbol were developed based on the principles of cognitive psychology. Using the information management system of welfare lottery terminals in Hubei Province in China as an example, the system architecture and functions were built using the hypermedia model, and detailed spatial decision support was provided based on the proposed visual environment integrating DCM (i.e., Digital Cartographic Model) and DLM (i.e., Digital Landscape Model) together.

入藏号:WOS:000321452500004

文献类型:Proceedings Paper

语种:English

作者关键词:point of interest (POI), multidimensional information, web visualization, symbol variable model, spatial decision support

通讯作者地址:任福(Ren, Fu); Wuhan Univ, Sch Resources & Environm Sci, 129 Luoyu Rd, Wuhan 430079, Peoples R China.

电子邮件地址:renfu@whu.edu.cn

地址:

[Yu, Changbin; Ren, Fu; Du, Qingyun; Zhao, Zhiyuan; Nie, Ke] Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

[Yu, Changbin; Ren, Fu; Du, Qingyun; Zhao, Zhiyuan; Nie, Ke] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 43007, Peoples R China.

研究方向:Geography

ISSN:1523-0406