基于属性相似度与多重缓冲区的接边算法研究

Edge Match Algorithm Based on Attributes Similarity and Multiple Buffers

接边是GIS中数据整合的重要环节,本文在分析了传统接边算法后,针对一些环节提出了一种实用高效的接边算法,该算法通过计算属性相似度并对数据进行整理分类,建立属性匹配集,然后创建多重缓冲区,防止误接边,同时也对接边要素进行筛选过滤,之后根据道格拉斯-普克(Douglas-Peuck-er)法与贝塞尔曲线(Bézier curve)对接边线进行平滑处理,最后通过实际地图数据对比分析,在GIS平台下验证了该算法的高效与实用性。

Edge Match is an important part of data collection in GIS, after analyzing the traditional Edge algorithm, for some part, this paper presents a practical and efficient edge matching algorithm by computing and data collation attribute similarity classification, to build attribute matching set, and then created multiple buffers to prevent misconnection side, but also the docking side screening filter elements, according to Douglas-Peucker method and Bezier curves to smooth the edges. Finally, it proves the efficiency and practicality of the algorithm by comparing the actual map data in GIS.