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Proceedings Paper

Visualization of spatial-temporal data based on 3D virtual scene
Author(s): Xianghong Wang; Jiping Liu; Yong Wang; Junfang Bi
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Paper Abstract

The main purpose of this paper is to realize the expression of the three-dimensional dynamic visualization of spatialtemporal data based on three-dimensional virtual scene, using three-dimensional visualization technology, and combining with GIS so that the people's abilities of cognizing time and space are enhanced and improved by designing dynamic symbol and interactive expression. Using particle systems, three-dimensional simulation, virtual reality and other visual means, we can simulate the situations produced by changing the spatial location and property information of geographical entities over time, then explore and analyze its movement and transformation rules by changing the interactive manner, and also replay history and forecast of future. In this paper, the main research object is the vehicle track and the typhoon path and spatial-temporal data, through three-dimensional dynamic simulation of its track, and realize its timely monitoring its trends and historical track replaying; according to visualization techniques of spatialtemporal data in Three-dimensional virtual scene, providing us with excellent spatial-temporal information cognitive instrument not only can add clarity to show spatial-temporal information of the changes and developments in the situation, but also be used for future development and changes in the prediction and deduction.

Paper Details

Date Published: 14 October 2009
PDF: 7 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74920V (14 October 2009); doi: 10.1117/12.838626
Show Author Affiliations
Xianghong Wang, Liaoning Technical Univ. (China)
China Academy of Surveying and Mapping (China)
Jiping Liu, China Academy of Surveying and Mapping (China)
Yong Wang, China Academy of Surveying and Mapping (China)
Junfang Bi, Shandong Agricultural Univ. (China)

Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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