
Proceedings Paper
Research and implementation of event-based spatio-temporal data model with integrated vector and raster data structureFormat | Member Price | Non-Member Price |
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Paper Abstract
An event-based spatio-temporal data model or event-oriented approach is either raster-based or vector-based and thus the
models fail to handle evolving geographical phenomena and spatio-temporal objects simultaneously. The focus of this
paper is on an event-based spatio-temporal data model with integrated vector and raster data structure. In this paper, the
framework of ESTDMVR was described, the two basic components of which were designed by hierarchically to manage
grid cells and spatial topology respectively, and explicit event instances and implicit event instances stored in RDBMS
were organized to represent changes of grid cells or an entity, and a land use database with our spatio-temporal
modeling approach fulfills the requirements for spatial, temporal, and spatio-temporal queries was implemented.
Paper Details
Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901D (14 November 2007); doi: 10.1117/12.748766
Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications
Yongji Wang; Jun Li; Bangjun Lei; Chao Wang; Liang-Pei Zhang; Jing-Yu Yang, Editor(s)
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901D (14 November 2007); doi: 10.1117/12.748766
Show Author Affiliations
Huiqiong Xia, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Zhengfeng Shao, Wuhan Univ. (China)
Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications
Yongji Wang; Jun Li; Bangjun Lei; Chao Wang; Liang-Pei Zhang; Jing-Yu Yang, Editor(s)
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