地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (10): 1305-1311.doi: 10.3724/SP.J.1047.2016.01305

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自发地理信息可信度及其评价

马超(), 孙群*(), 徐青, 王志坚   

  1. 信息工程大学地理空间信息学院,郑州 450052
  • 收稿日期:2016-04-13 修回日期:2016-06-20 出版日期:2016-10-25 发布日期:2016-10-25
  • 通讯作者: 孙群 E-mail:jielong018@126.com;sunqun@371.net
  • 作者简介:

    作者简介:马 超(1988-),男,博士生,主要从事多源空间数据融合处理与数字地图制图研究。E-mail:jielong018@126.com

  • 基金资助:
    国家“863”计划项目“多源多尺度多时相空间数据匹配及一致性处理技术”(2012AA12A404);国家自然科学基金项目“多源矢量空间数据集成与融合理论和方法研究”(41571399)、“属性匹配在多源空间数据融合中的应用研究”(41201391)、“空间数据几何相似性度量模型研究”(41071297)、“基于草图的地理信息检索理论与方法研究”(41201469)

The Credibility and Evaluation of Volunteered Geographic Information

MA Chao(), SUN Qun*(), XU Qing, WANG Zhijian   

  1. Institute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China
  • Received:2016-04-13 Revised:2016-06-20 Online:2016-10-25 Published:2016-10-25
  • Contact: SUN Qun E-mail:jielong018@126.com;sunqun@371.net

摘要:

由于自发地理信息数据主要来源于志愿者上传,不可避免地存在数据质量缺乏保障等问题,故限制了其广泛应用。针对自发地理信息数据质量未知、参考数据难以获取等问题,本文引入了数据可信度的概念,从区域内用户信誉度之和与数据变化趋势2个方面对自发地理信息的可信度进行评价,将定性分析结果进行量化表达。首先,利用李纳斯定理计算区域内用户的信誉度之和获取数据质量的相关信息,以志愿者上传数据中保留的点所占比重作为志愿者的信誉度,构建了基于点统计的志愿者信誉度模型。接着,从数据量变化的趋势中获取数据的质量信息,通过计算研究区域内数据量的变化程度进行数据变化趋势度量。最后,以北京等地区OpenStreetMap数据作为实验对象,验证了方法的有效性。实验结果表明,利用该方法所得出的实验结果与基于参考数据的质量评价结果总体上保持一致。

关键词: 自发地理信息, 可信度, 质量评价, 信誉度模型

Abstract:

The volunteered geographic information is mostly derived from volunteers' uploading with no quality guarantee. This has become a major obstacle of the application for the volunteered geographic information. Also, the quality becomes the primary problem which requires to be solved firstly. The quality evaluation is the focus of the present research domain. There are many researches on the quality evaluation of volunteered geographic information but a few research on the quality evaluation without reference data. Since it is very difficult or costly to get the reference data, it is important to study the quality evaluation without the reference data. In order to solve this problem with an unknown quality of the volunteered geographic information and the difficulty of getting the reference data with high quality, we proposed the credibility model. The credibility model could evaluate the VGI quality from the number of the volunteers and their reputation for the data changing trend. Then, we turn the qualitative analysis result into the quantitative expression. On one hand, the volunteer's reputation model was built based on this point, meaning a statistic method which takes the proportion for the preserving points as the volunteer's reputation value. Then, the Linus Law adapts and measures the geographical information collected by volunteers, of which credibility relied on the sum of the volunteer's reputation within the research areas. On the other hand, the information quality is gained from the data-changing tendency and measured by the geographical information credibility through computing the degree of change within the research areas. At last, for verification and analyzing the rationality of the credibility model, the OpenStreetMap, collects previous data adapted for Beijing, Shanghai and other cities which require to be used in experiments. Finally, the navigation data is selected as the reference data for the comparison. The result of calculation for the credibility model has a great coherence for the result based on the reference data.

Key words: volunteered geographic information, credibility, quality evaluation, reputation model