太阳成8722(中国)有限公司-GREEN NO.1

旧版入口
|
English
学院新闻
艾廷华的论文在INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE刊出
发布时间:2015-09-08     发布者:yz         审核者:     浏览次数:

标题:A vector field model to handle the displacement of multiple conflicts in building generalization作者:Ai, Tinghua; Zhang, Xiang; Zhou, Qi; Yang, Min

来源出版物:INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 卷:29 期:8 页:1310-1331 DOI:10.1080/13658816.2015.1019886 出版年:AUG 3 2015

摘要:In map generalization, the displacement operation attempts to resolve proximity conflicts to guarantee map legibility. Owing to the limited representation space, conflicts may occur between both the same and different features under different contexts. A successful displacement should settle multiple conflicts, suppress the generation of secondary conflicts after moving some objects, and preserve the distribution patterns. The effect of displacement can be understood as a force that pushes related objects away with properties of propagation and distance decay. This study borrows the idea of vector fields from physics discipline and establishes a vector field model to handle the displacement of multiple conflicts in building generalization. A scalar field is first constructed based on a Delaunay triangulation skeleton to partition the buildings being examined (e.g., a street block). Then, we build a vector field to conduct displacement measurements through the detection of conflicts from multiple sources. The direction and magnitude of the displacement force are computed based on an iso-line model of vector field. The experiment shows that this global method can settle multiple conflicts and preserve the spatial relations and important building patterns.

入藏号:WOS:000359789900002

文献类型:Article

语种:English

作者关键词:map generalization, displacement, vector field, Delaunay triangulation

扩展关键词:AUTOMATED MAP GENERALIZATION; REPRESENTATION; GIS

通讯作者地址:Ai, Tinghua; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei, Peoples R China.

电子邮件地址:tinghuaai@whu.edu.cn

地址:

[Ai, Tinghua; Zhang, Xiang; Zhou, Qi; Yang, Min] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Hubei, Peoples R China.

研究方向:Computer Science; Geography; Physical Geography; Information Science & Library Science

ISSN:1365-8816

eISSN:1362-3087

影响因子(2014):1.655

Baidu
sogou