线状网络数据拓扑关系的处理方法

Processing method of topological relations about linear network data

拓扑关系优劣影响着线状网络数据的连通性及正确性,是决定线状网络数据质量的重要因素。目前的研究或应用软件只能在一定距离阈值内对简单的线状网络数据进行拓扑关系修复,没有相对完善的识别类型、修复流程及优化方法。针对这个问题,该文提出4种识别类型及3种拓扑关系修复模式:优先顾及数据的属性或几何形态相同或相似特征,并充分考虑线状网络数据中所涉及弧段的长度、角度,修复补偿出一个连续的、完整的网络化数据。通过实验验证,该文方法不仅在可靠性上优于传统方法,而且在可视化效果上更贴合线状网络数据的应用。

The topological relation affect the connectivity and correctness of linear network data,and is an important factor to determine the quality of linear network data.The current research or application software can only repair the topological relationship of simple linear network data within a certain distance threshold,and there is no relatively perfect identification type,repair process and optimization method.To solve this problem,this paper proposed four identification types and three topological relationship repair modes:firstly,it took into account the same or similar features of the attributes or geometric shapes of the data,and then fully considers the length and angle of the arcs involved in the linear network data.Finally,a continuous and complete network data could be repaired and compensated by combining the above.The experimental results showed that the method was not only better than the traditional method in reliability,but also more suitable for the application of linear network data in terms of visualization.