基于聚类的海量空间数据可视化研究与应用  

Research and Application of Massive Spatial Data Visualization Based on Clustering

作　　者：杨璇 刘宇 YANG Xuan;LIU Yu(Nanjing Fiberhome Software Technology Co.,Ltd.,Nanjing 210019;Wuhan Research Institute of Posts and Telecommunications,Wuhan 430074)

机构地区：[1]南京烽火软件科技有限公司,南京210019 [2]武汉邮电科学研究院,武汉430074

出　　处：《计算机与数字工程》2019年第5期1203-1207,1282,共6页Computer & Digital Engineering

摘　　要：随着空间数据的爆炸性增长,空间数据可视化已经成为处理空间信息的重要方法和关键技术。论文首先简要陈述了当前空间数据可视化出现的问题,并对相应的方法进行了归纳及分析。在此基础上,提出了一种基于聚类的空间数据可视化方法,先通过聚类算法对空间数据进行聚类分析,然后将得到的结果进行可视化,从而解决了原有方法造成的数据拥堵、重复叠加现象。最后,对论文相关工作进行了总结以及对海量空间数据可视化的发展进行了展望。With the explosive growth of spatial data,spatial data visualization has become an important method and key tech. nology for spatial information processing. This paper first introduces the existing problems of visualization of spatial data,and analyz. es and summarizes the methods of spatial data visualization. On this basis,a kind of spatial data visualization method based on clus. tering of spatial data clustering analysis is put forward by clustering algorithm,then the results are visualized,so as to solve the problem caused by the original data visualization method of congestion,overlap. Finally,the related work of this paper is summa. rized,and the development of visualization of mass spatial data is prospected.

关 键 词：大数据 空间数据 可视化 聚类算法 

分 类 号：N37[自然科学总论]