摘要
当前,利用空间关系在多源数据间建立空间关联是地理信息领域的研究热点。针对这一热点,提出一种面向空间关联的基于自适应四叉树编码计算矢量数据空间关系的方法。首先,以经纬度网格划分技术为指导思想,基于自适应四叉树进行空间编码,建立空间数据与对应编码间的关联;在此基础上,利用编码计算空间数据的网格拓扑、方向及距离关系,从而建立空间数据间的空间关联;最后,以深圳市OSM矢量地图为实验数据来验证。实验表明,自适应四叉树编码方法能集成地表达3种空间关系,且计算速度较快、效率较高,具有较强的实用性。
Nowadays, in the field of geographic information, it’s a research hotspot to establish spatial association based on spatial relation among multisource data. Aiming at the hotspot, a spatial association-oriented spatial relation computing method is proposed in this paper, which is based on adaptive quadtree coding for vector data. Firstly, spatial data is coded based on adaptive quadtree, in which longitude and latitude grid division technology is taken as guiding thought, and sequentially, the correlation between spatial data and its code is set up. On the basis of that, grid topology relation, direction relation and distance relation of spatial data are calculated on account of its code, and thereby the spatial correlation between spatial data is established. Finally, an experiment is carried out which uses OSM vector map data of Shenzhen. The result of experiment shows that three kinds of spatial relations can be integrated to express in the proposed adaptive quadtree coding method which has high speed, high efficiency and strong practicability.
作者
姜晶莉
郭黎
崔铁军
李豪
JIANG Jingli;GUO Li;CUI Tiejun;LI Hao(Information Engineering University, Zhengzhou 450001, China;Tianjin Normal University, Tianjin 300387, China)
出处
《测绘科学技术学报》
CSCD
北大核心
2018年第4期430-434,440,共6页
Journal of Geomatics Science and Technology
基金
国家自然科学基金项目(41471314
41001313)
关键词
自适应四叉树
空间编码
空间关系计算
空间关联
矢量地图数据
adaptive quadtree
spatial coding
spatial relation calculation
spatial association
vector map data
作者简介
姜晶莉(1994-),女,山东潍坊人,硕士生,主要研究方向为多源数据空间关联。E-mail:jiangjingliok@163.com
