地球信息科学学报 ›› 2017, Vol. 19 ›› Issue (11): 1422-1432.doi: 10.3724/SP.J.1047.2017.01422

• 地球信息科学理论与方法 • 上一篇    下一篇

多层次多粒度OSM路网目标数据质量综合评估方法研究

朱富晓(), 王艳慧*()   

  1. 1. 首都师范大学 资源环境与地理信息系统北京市重点实验室,北京 100048
    2. 首都师范大学三维信息获取与应用教育部重点实验室,北京 100048
    3. 首都师范大学城市环境过程与数字模拟国家重点实验室培育基地,北京 100048
  • 收稿日期:2017-05-09 修回日期:2017-07-25 出版日期:2017-11-10 发布日期:2017-11-10
  • 通讯作者: 王艳慧 E-mail:18811008316@163.com;huiwangyan@sohu.com
  • 作者简介:

    作者简介:朱富晓(1993-),女,硕士生,主要从事GIS方法与应用研究。E-mail: 18811008316@163.com

  • 基金资助:
    国家自然科学基金项目(41371375);北京市自然科学基金项目(8132018);北京市教委科研计划项目(KM201810028014)

On the Comprehensive Evaluation of the Data Quality for OSM Road Network from the Perspectives of Multi-level and Multi-granularity

ZHU Fuxiao(), WANG Yanhui*()   

  1. 1. Beijing key Laboratory of Resource Environment and Geographic Information System, Capital Normal University,Beijing 100048, China
    2. Key Laboratory of 3-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100048, China
    3.State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Capital Normal University ,Beijing 100048, China
  • Received:2017-05-09 Revised:2017-07-25 Online:2017-11-10 Published:2017-11-10
  • Contact: WANG Yanhui E-mail:18811008316@163.com;huiwangyan@sohu.com

摘要:

针对以往OpenStreetMap(OSM)数据质量评价中只考虑片面评价指标或只考虑单一层次评估对象的不足,本文选取典型研究区,以来自政府规划机构的权威数据集作为参照数据,基于模糊综合评价法,设计了质量评价指标与空间层次相结合的多层次多粒度OSM路网目标数据质量评估模型,从单一目标、群组目标和整体目标3个粒度,集成构建集个体数量控制与群体结构控制于一体的数据质量评估指标体系,并解决评估模型中隶属度确定与最优组合权重赋权的关键技术问题,实现了宏观与微观相结合、全局与局部相结合的OSM数据质量的多维度多层次综合度量。实验结果表明,该方法具有可行性和实用性,可为基于VGI数据源实现相关行业应用提供实证依据和可靠的数据质量评估方法。

关键词: OSM, 多层次, 多粒度, 数据质量, 评价指标体系, 模糊综合评价

Abstract:

OpenStreetMap (hereinafter short for OSM) data quality evaluation only considered the one-sided evaluation index or single level assessment of the object. This paper takes the authoritative data of government planning agency as the reference data and designs a data quality assessment model of OSM road network at a multi-level and multi-granularity scale. This model is based on the method of fuzzy integrated evaluation and is the combination of quality evaluation index and spatial level. From three aspects: single target, group goals and overall goals, this paper builts the evaluation indexes system of data quality and sets the control of number of individual and group structure in one, then sovles the crucial technical problems, such as the determining of membership function and the optimal combination weight. This paper also achieves the combinations of macro and micro, global and local. The results show that OSM data qualities of the single level and the overall level are superior. The group level is the general. The qualities of the single target and most indexes of group goal are superior so that it’s consistent and logical that the overall level is superior. This shows the method is feasible and practical. Some industries which are based on VGI data source can use this empirical basis and reliable data quality evaluation method for reference.

Key words: OSM, multi-level, multi-granularity, data quality, evaluation indixes system, fuzzy integrated evaluation