基于地球剖分网格的面状地理实体时空标识编码方法
A spatiotemporal identifier coding method of polygon geo-entity based on global subdivision grid
曾艳艳 1张奎 1周燕迪 1张科伟 1侯孟营 1张旭萍 1祁雨欣2
作者信息
- 1. 北京市测绘设计研究院,北京 100045;城市空间信息工程北京市重点实验室,北京 100045
- 2. 首都经济贸易大学,北京 100070
- 折叠
摘要
针对目前各种标识不统一而导致的时空信息无法互通互认的问题,该文提出了一种基于地球剖分网格的实体外包与内接网格共同定位的时空标识计算模型.该模型所计算的地理实体时空标识可实现智慧城市中地理实体的唯一标识确定、不同地理实体的空间关联.同时以北京市朝阳区左家庄街道为试验区,将该文所提出的算法与外接矩形算法、面重叠算法进行了比较.试验证明,该文所提出的算法可唯一标识实景三维地理实体,同时数据关联效率明显优于面重叠算法10倍,数据关联成功率100％,可有效支撑实景三维地理实体时空标识赋码,对于实景三维实体数据管理与服务具有参考.
Abstract
Aiming at the problems of fuzzy spatial location information in existing geographic entity coding,a spatiotemporal identifier calculation model based on global subdivision grid was proposed in this paper.This model could only rely on sequence numbers to achieve spatial grid encoding uniqueness and had the disadvantage of randomness.The spatiotemporal identifier of geographical entities calculated by this model could achieve the determination of global unique identification of geographical entities in smart cities,spatial association of different geographical entities.Taken Zuojiazhuang Street,Chaoyang District,Beijing as the experimental area,the proposed algorithm was compared with the bounding rectangle algorithm and surface overlap algorithm.Experimental results showed that the proposed algorithm uniquely identified geographical entities in smart cities,and the data association efficiency was significantly better than the area overlap algorithm by 10 times.In the experimental area,the success rate of data matching based on this algorithm was 100％,which could effectively support the spatiotemporal identifier and coding of smart cities,and had reference for the management and service of smart city entity data.
关键词
剖分网格/地理实体/时空标识/实体关联Key words
grid subdivision/geo-entity/spatiotemporal identifier/entity association引用本文复制引用
出版年
2024
NETL
NSTL
万方数据