摘要
在现有GIS点状要素综合选取方法的基础上,针对两种具有相关关系的GIS要素,综合考虑它们的空间与属性信息,运用重力模型对要素间的相关性进行评价,提出惯性选取的方法。实验结果表明,重力模型可以很好地集成地理目标的空间与属性信息,定量描述不同要素之间的相关性;采取惯性选取的方法不仅可以保持目标综合前后空间结构的一致性,而且可以顾及不同地理要素相关性对目标选取的影响。
On the basis of the existing GIS information generalization method, a method of inertial selection is put forward in view of correlation between point clusters in GIS. The method will allow evaluation of the correlation between geographic entities through a gravity model considering the spatial and attribute information. Experimental results show that a gravity model can solve the problem of spatial and attribute data integration and can quantita- tively describe the correlation between geographic entities. Moreover, the inertial selection model can not only preserve the main spatial features of the geographic entities after generali- zation, but also takes the influence of correlation between geographic entities on objects se- lection into consideration.
出处
《武汉大学学报(信息科学版)》
EI
CSCD
北大核心
2013年第8期945-949,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(40701158
41171350
41271449)
高等学校博士学科点专项科研基金资助项目(20103207110012)
关键词
地理信息综合
点群选取
相关性
重力模型
惯性选取
geographical information generalization~ point cluster selection~ correlation
gravity model~ inertial selection