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	A representation framework for studying spatiotemporal changes and interactions of dynamic geographic phenomena
	Yi J. W. ; Du Y. Y. ; Liang F. Y. ; Zhou C. H. ; Wu D. ; Mo Y.
	2014
关键词	spatiotemporal model identity-based change composite object interactions ocean eddy south china sea illinois tornado outbreak mesoscale eddies anticyclonic eddies information evolution model peru
英文摘要	This research presented a framework to track and query spatiotemporal changes and interactions of dynamic geographic phenomena. The framework organized information of dynamic phenomena as a hierarchy of static structures, processes, and scenarios. Static structures of a dynamic phenomenon at its different evolution stages were described by its corepoint, footprint border, and composite border, which were extracted from time series remote sensing images. Time series static structures of a phenomenon were then grouped into processes to show its changes over space and time. Scenarios were used to describe a collection of interacting processes in space. We expanded the identity-based change (IBC) model by adding more primitives and operations to represent semantics of these changes and interactions. A geographic information system (GIS) database was built by integrating the expanded IBC model with our spatiotemporal framework. As demonstrated by a case study of ocean eddies in the South China Sea (SCS), query results of the behaviors and relationships of ocean eddies from the GIS database help us better understand their development and evolution, demonstrating the usefulness of this spatiotemporal framework. Spatial and semantic queries about a specific eddy from the database can further efficiently present its lifetime dynamic changes and all other eddies that interacted with it.
出处	International Journal of Geographical Information Science
卷	28
期	5
页	1010-1027
收录类别	SCI
语种	英语
ISSN号	1365-8816
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/29447]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Yi J. W.,Du Y. Y.,Liang F. Y.,et al. A representation framework for studying spatiotemporal changes and interactions of dynamic geographic phenomena. 2014.

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