DocumentCode
3051993
Title
WMS-Based Flow Mapping Services
Author
Guo, Danhuai ; Wu, Kaichao ; Zhang, Zhenghua ; Xiang, Wenting
Author_Institution
Comput. Network Inf. Center, Beijing, China
fYear
2012
fDate
24-29 June 2012
Firstpage
234
Lastpage
241
Abstract
Flow Mapping, also known as spatial interaction data visualization, has become widely used for exploratory spatiotemporal data analysis to understand complex spatial phenomena such as human migration, commercial trading, and social networks. The unitary flow mapping architecture, in which data storing, computing and representation are deployed in a single computer, is facing the challenges being brought from increasing data scale, higher timing demand, computing complexity of visual clutter detecting and integrating with other GIS and spatio-temporal analysis tools. In this paper, a novel 3-tiers flow mapping service architecture is proposed. In this architecture, flow data integration tier provide a unified data access interface for variant data sources; flow mapping models tier provide a computing resource pool to support different flow mapping algorithms and scalable computing capability; and result visualization tier to view map interactively. In this paper, we expand the OGC Web Map Services (WMS) standard protocol to support spatio-temporal interaction data visualization and analytics, and integrate WMS-based flow mapping service with other map resources by JavaScript toolkits in browsers. This architecture is validate to be improved in performance and scalability by three typical application cases.
Keywords
Web services; data analysis; data visualisation; geographic information systems; user interfaces; 3-tiers flow mapping service architecture; GIS; JavaScript toolkits; OGC Web map services standard protocol; WMS-based flow mapping services; browsers; commercial trading; complex spatial phenomena; computing capability scalability; computing complexity; computing resource pool; data computing; data representation; data scale; data storing; exploratory spatiotemporal data analysis; flow data integration tier; human migration; map resources; social networks; spatial interaction data visualization; timing demand; unified data access interface; unitary flow mapping architecture; variant data sources; visual clutter; visualization tier; Computer architecture; Data models; Data visualization; Geographic information systems; Servers; Spatial databases; Visualization; flow mapping; spatial interacation data; visual analytics; web mapping services;
fLanguage
English
Publisher
ieee
Conference_Titel
Services (SERVICES), 2012 IEEE Eighth World Congress on
Conference_Location
Honolulu, HI
Print_ISBN
978-1-4673-3053-4
Type
conf
DOI
10.1109/SERVICES.2012.37
Filename
6274056
Link To Document