DocumentCode
2509756
Title
A similarity measure for time series of spatial lines intersection relations
Author
Liu, Sheng ; Ji, Genlin ; Li, Wenjun
Author_Institution
Key Lab. of Virtual Geographic Environ., Nanjing Normal Univ., Nanjing, China
fYear
2011
fDate
June 29 2011-July 1 2011
Firstpage
13
Lastpage
15
Abstract
Spatial lines are common in various spatial applications such as GIS (Geographical Information System). Topological relationship is one of important properties between spatial lines. Neglecting disjoint relations and adjacent relations between spatial lines, in this paper we focus on intersection relations. Time series of spatial lines intersection relations record each spatial line intersection relations at each time. The changes of intersection relationship are caused by deformations (translation, rotation, and length of spatial lines) and increasing or decreasing of the number of spatial lines neighbours. We propose a similarity measure for time series of spatial lines topological relations. By this measure, we can cluster these spatial lines on time series of their intersection relations.
Keywords
geographic information systems; time series; adjacent relation; disjoint relation; geographical information system; spatial lines intersection relation; spatial lines topological relation; time series; Area measurement; Clustering algorithms; Indexes; Shape measurement; Time measurement; Time series analysis; Trajectory; intersection relations; similarity measure; spatial lines; spatial lines clustering; time series;
fLanguage
English
Publisher
ieee
Conference_Titel
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
Conference_Location
Fuzhou
Print_ISBN
978-1-4244-8352-5
Type
conf
DOI
10.1109/ICSDM.2011.5968121
Filename
5968121
Link To Document