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基于中心点距离的居民地面要素聚类
引用本文:宋昊璘,杨敏华.基于中心点距离的居民地面要素聚类[J].测绘与空间地理信息,2020(4):154-157,162.
作者姓名:宋昊璘  杨敏华
作者单位:中南大学地球科学与信息物理学院;中南大学有色金属成矿预测与地质环境监测教育部重点实验室
摘    要:空间聚类是将空间实体根据某些相似的特性聚类成为一个集合,这个集合称为簇。本文研究了一种基于中心点距离的居民地面要素聚类算法:通过获取面状要素的数据,运用基于其几何中心的距离计算方法,判断面要素之间距离的可达性,并将距离小于阈值的面要素进行聚类,最终以凸包的形式将该集合绘制出来。本文的算法是在VS2010以及ArcGIS Engine开发环境下通过编程实现,并进行多组实验,实验结果表明,该应用程序可以实现居民地面要素的自动聚类。

关 键 词:空间聚类  居民地聚类  制图综合  凸包

Polygon Clustering of Settlements Based on the Distance of Center Point
SONG Haolin,YANG Minhua.Polygon Clustering of Settlements Based on the Distance of Center Point[J].Geomatics & Spatial Information Technology,2020(4):154-157,162.
Authors:SONG Haolin  YANG Minhua
Institution:(School of Geoscience and Info-Physics,Central South University,Changsha 410083,China;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring Ministry of Education,Central South University,Changsha 410083,China)
Abstract:Clustering of residents is an important part of cartographic.Paper study a clustering of resident’s algorithm based on convex hull:input area patterns file such as residents,calculating the distance between area patterns.Give a threshold and determine the distance between the area patterns if the distance is less than the threshold will draw a convex hull on area patterns,finally complete the clustering of residents.The algorithm developed in VS2010 environment by ArcGis Engine secondary development application.The experiment shows that the application can realize automatic clustering of residents.
Keywords:spatial clustering  clustering of residents  cartographic generalization  convex hull
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