一种基于标签云的位置关联文本信息可视化方法

互联网的广泛应用产生了越来越多与地理空间位置关联的文本信息。现有地理信息系统一般通过外部链接来浏览这些数据,需要频繁的缩放、漫游和点击操作,而其他方法又难以有效表达出空间位置关系。提出了一种基于标签云的位置关联文本信息可视化方法———标签云地图,给出了标签云地图的设计思路和实现流程,并以腾讯微博的真实数据集为例建立了原型,重点研究了点状和面状地理要素的Cartogram生成算法,关键字和词频的提取算法,面向不同尺度和不同时间的标签云显示规则的标签位置生成算法。实验表明,该方法能够帮助用户从大量的位置关联文本信息中快速感知并把握信息的总体特征和发展趋势。

A Tag Cloud-based Visualization for Geotagged Text Information

With the wide application of Internet,there is more and more geotagged text information.Nevertheless,such data is currently browsed in Geographical information systems through externallinks,requiring frequent zooming,panning,and click operations.Meanwhile,other methods can noteffectively express spatial relationships.A tag cloud mapping method—a tag cloud-based visualizationfor geotagged text information is presented in this paper.We provide an overall implementationprocess for the method and design and implement a prototype based on the real-life data sets of Ten-cent Microblog.We focus on designing cartogram algorithms for point and polygon features,the ex-traction of keywords and frequency and the display rule models for different scales and different timesin the label placement algorithms.This method can help users rapidly make sense of the importantconcepts and grasp main features and developing trends in a large amount of geotagged text informa-tion.