专题图空间点聚合可视化算法研究

Research on Visualization Algorithm of the Spatial Points Aggregation in the Thematic Map

在制作数字专题图的过程中,当地图可视区域有大量空间点需要可视化表达时,可通过对这些空间点进行技术综合,对局部空间点分布规律以及密集性进行提取和抽象的方法,达到利用有限区域较客观全面地展示空间点目标分布形态的目的。重点介绍了4种空间点聚合算法的聚合原理;根据算法的聚合过程分析了4种算法的优缺点;并从海量空间点的聚合性能和聚合形态两方面对4种算法进行了测试与对比,最终选取了性能优、可视化效果佳的方格距离点聚合算法作为多重重要防护目标专题图可视化表达的方法。

This paper mainly introduced the aggregation principles of four kinds of spatial point aggregation algorithm at first. And then, according to the aggregation processes of the algorithms, the paper analyzed the advantages and disadvantages of the four algorithms. At last, the paper tested and compared the four algorithms from the cloud point's aggregation performance and aggregation form two aspects, and selected the lattice distance aggregation algorithm as the visualization expression method for important target multiple thematic map, which had the optimal performance, good visual effect.