A multi-scale spatial index method

	A multi-scale spatial index method
	Cheng Changxiu
	2009
关键词	Decision trees Research
英文摘要	The problem about multi-representations of spatial data is one of the hot topics in modern GIS. We pointed out that all kinds of published solutions could be concluded as three kinds of type techniques: explicit storage of multi-scale vector data, multi-scale spatial index, multi-scale vector data storage structure. Because there is more fertile soil to seed multi-scale spatial index method, we expatiated six kinds of multi-scale spatial index method, such as Reactive Tree, GAP-tree, Multi-Scale Hilbert R-tree, Multiple R-tree, and followed their development in recent years. According to our research experiments, we discussed their advantages and disadvantages, and provided some academic bases for their chosen and applications. Finally, we drawn some conclusions to guide the research on multi-scale spatial methods, and proposed the further research on multi-dimension index and optimized index.
出处	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University
卷	34 期:5 页:597-601
收录类别	EI
语种	英语
内容类型	EI期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/24981]
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	Cheng Changxiu. A multi-scale spatial index method. 2009.