Paper
5 November 2008 Development of spatio-temporal data model based on feature and time-varying sequence of events for land use in the mining area
Jinshan Hu, Zongyi He, Jiangrong Kang, Pengcheng Liu, Xiuqin Wei
Author Affiliations +
Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71440L (2008) https://doi.org/10.1117/12.812713
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
The land resource in the mining area has been destroyed badly, therefore to establish a land reclamation information system of mining area based on GIS is of great significance. The spatial information database of land reclamation is a temporal one due to the change of the land resource within the coal mining area. On the basis of the analysis of the characteristics of the land resource in the subsidence region and the advantage of Event-based and Feature-Based Spatio-temporal Data Model, a spatio-temporal data model based on feature and time-varying sequence of events was proposed in this paper, and this model can be used to manage the land information in the mining area. Meanwhile, the spatial information query and the analytic method were also studied in this paper. The advantage of this model is to keep the integrality of feature entity and to connect ground surface event and underground mining event which cause the land information change in the mining area.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinshan Hu, Zongyi He, Jiangrong Kang, Pengcheng Liu, and Xiuqin Wei "Development of spatio-temporal data model based on feature and time-varying sequence of events for land use in the mining area", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71440L (5 November 2008); https://doi.org/10.1117/12.812713
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KEYWORDS
Mining

Data modeling

Databases

Geographic information systems

Roads

Analytical research

Spatial analysis

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