文章基本信息

标题：Measurement of similarity for spatial directions between areal objects
本地全文：下载
作者：Ding Hong ; Guo Qingsheng ; Du Xiaochu 等
期刊名称：Geo-spatial Information Science
印刷版ISSN：1009-5020
电子版ISSN：1993-5153
出版年度：2004
卷号：7
期号：3
页码：225-230
DOI：10.1007/BF02826296
出版社：Taylor and Francis Ltd
摘要：Similarity for spatial directions plays an important role in GIS. In this paper, the conventional approaches are analyzed. Based on raster data areal objects, the authors propose two new methods for measuring similarity among spatial directions. One is to measure the similarity among spatial directions based on the features of raster data and the changes of distances between spatial objects, the other is to measure the similarity among spatial directions according to the variation of each raster cell centroid angle. The two methods overcome the complexity of measuring similarity among spatial directions with direction matrix model and solve the limitation of small changes in direction. The two methods are simple and have broader applicability.
关键词：spatial similarity; raster data; similarity for spatial directions; direction relations' matrix; map generalization