一种基于Heat Map的地理标签数据可视化表达的研究

地理标签数据是指蕴含在网页、照片、微博等信息媒介中的地理空间信息,其表现形式通常是经纬度坐标。通过分析地理标签数据的研究现状,对地理标签数据进行分类,并归纳地理标签数据具有属性数据非结构化、海量信息分布不均、强调位置相对关系等特点。针对其中一个特点,通过对K-means算法进行改进,结合计算机图形学相关知识,利用热力图表达地理标签数据的分布特征。最后,通过与ArcGIS核密度图、散点图进行比较,得出该热力图算法具有表达效果明显、用户体验好等优点。

Research on heat map visualization of geotagged data

Geotagged data means being embedded in web pages ,photos ,microblogging and other information media geospatial information ,on w hich the manifestations are usually latitude and longitude coordinates . This paper ,through the analysis of the research status of geotagged data ,classifies the geographic label data and summarizes non‐structured attribute data ,mass distribution of information ,and the relative position relationship .And for one of the features ,K‐means algorithm is proposed to use Heuristic algorithm to determine the k value .Combined with knowledge of computer graphics ,the heat distribution graph is used to represent the geotagged data .Compared with scatter diagram and ArcGIS nuclear density map ,this algorithm has high efficiency of being expressive and user‐friendly .