DocumentCode
3447145
Title
A new road network selection approach based on the importance criteria of spatial interactive relationship
Author
Min Guo ; Haizhong Qian ; Xiao Wang ; Haiwei He ; Zhishen Huang
Author_Institution
Inf. Eng. Univ., Zhengzhou, China
fYear
2013
fDate
20-22 June 2013
Firstpage
1
Lastpage
5
Abstract
After introducing the past research achievements in the field of automatic selection of road network, the advantages and shortcomings of how to select the road network were underlined, then a new road selection algorithm to fetch up the shortcomings was put forward. First, the assessment criteria of the importance of road network were summarized and classified on the basis of constraints in road network generalization selection. Second, the importance assessment criteria of road network were achieved by the spatial interactive relationship of road network which was analyzed with buffer analysis and cluster analysis algorithms. The enhanced road network importance criteria fetched up the lack of attribute information in data structure of road network, which was pivotal to road selection. Finally, examples were illustrated the advancement and scientificity of this new approach termed in this paper.
Keywords
cartography; data structures; pattern clustering; roads; visual databases; attribute information; automatic road network selection approach; buffer analysis algorithms; cluster analysis algorithms; data structure; enhanced road network importance criteria; road network generalization selection; road network importance assessment criteria; road selection algorithm; spatial interactive relationship importance criteria; Algorithm design and analysis; Availability; Cities and towns; Clustering algorithms; Graph theory; Roads; Spatial databases; automated cartographic generalization; buffer analysis; cluster analysis; importance criteria of spatial interactive relationship; selection of road network;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location
Kaifeng
ISSN
2161-024X
Type
conf
DOI
10.1109/Geoinformatics.2013.6626168
Filename
6626168
Link To Document