Multi-Scale Visualization for GIS Road Features in Mobile Applications System
Multi-scale visualization plays a critical role in route planning and road guiding operation in a mobile applications system. The existing two approaches used for general spatial visualization present their own drawbacks and disadvantages. In this context, in order to display these road representations with different detail levels at a successive and smooth transformation order, this paper is devoted to a combined approach, also named `object interpolation', where some feature classes are stored as level of detail (LoD) in a multi-scale database, while others are generated in real-time from the base dataset. The interpolation principle, overall framework and technical flow are put forward. Then, the object interpolation function is defined and described, which reflects the inheritable and transferable characteristics of quantitative, structural, geometrical, semantic, topological and attribute related information among multi-scale representation objects. At last, a case in point is given to indicate that the new method is a guarantee of objective selection of the road objects at middle scale.
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Availability:
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Supplemental Notes:
- © 2009 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Wang, Yanhui
- Meng, Hao
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Conference:
- Second International Conference on Transportation Engineering
- Location: Chengdu , China
- Date: 2009-7-25 to 2009-7-27
- Publication Date: 2009-7
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 875-880
- Monograph Title: International Conference on Transportation Engineering 2009
Subject/Index Terms
- TRT Terms: Geographic information systems; Interpolation; Real time information; Route guidance; Visualization
- Uncontrolled Terms: Fixed objects (Roadside)
- Subject Areas: Data and Information Technology; Highways; I70: Traffic and Transport;
Filing Info
- Accession Number: 01525195
- Record Type: Publication
- ISBN: 9780784410394
- Files: TRIS, ASCE
- Created Date: Nov 12 2013 1:36PM