基于Voronoi图的点状目标邻近空间分布测度方法  

Voronoi-based Distribution Measure of Point Objects in Adjacent Space

作　　者：闫超德[1] 白建军[2] 赵仁亮[3] 

机构地区：[1]郑州大学环境与水利学院,郑州市科学大道100号450001 [2]国家基础地理信息中心,北京市紫竹院百胜村1号100044 [3]中国矿业大学(北京)资源与安全工程学院,北京市海淀区学院路丁11号100083

出　　处：《武汉大学学报（信息科学版）》2009年第1期48-51,共4页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金资助项目(40301042)

摘　　要：邻近空间分布测度研究观测点邻近空间中目标的分布规律,是地理分析、环境评价、选址优化等的重要依据。提出了基于Voronoi图的邻近空间分布测度方法。该方法通过观测点的k阶Voronoi邻近关系,动态确定影响观测点的空间目标范围,通过k阶邻近分布指数定量评价观测点邻近空间目标的分布情况,实现了任一观测点邻近空间分布的测度,并将k阶邻近分布指数应用于整体空间目标离散度的测度。最后通过城市楼盘开发与景观保护评价实例说明了该方法的应用前景。The measure of adjacent space＇s distribution researches into objects＇ distribution in adjacent space. It is the important basis of geographic analysis, environmental assessment, also location optimization. A Voronoi-diagram based method to measure adjacent spatial distribution is proposed, which dynamically determines the related extent according to measure point＇s Voronoi adjacent relation, and assesses the adjacent space＇ s distribution based on the index of adjacent distribution. The method can measure any point＇s adjacent distribution. Furthermore, it can be used to evaluate the dispersion degree at overall level. Finally, an applied example evaluating the development of building lots and landscape protection is given to illustrate the application prospects.

关 键 词：VORONOI图 空间分布测度 邻近关系 离散度 

分 类 号：P208[天文地球—地图制图学与地理信息工程]