自发地理信息可信度及其评价

发布时间：2018-03-05 15:51

本文选题：自发地理信息　切入点：可信度　出处：《地球信息科学学报》2016年10期 　论文类型：期刊论文

【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Open Street Map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。
[Abstract]:Because the spontaneous geographic information data mainly comes from the volunteer uploading, it inevitably has some problems, such as the lack of guarantee of the data quality, so it restricts its wide application. In view of the unknown quality of the spontaneous geographic information data, the reference data is difficult to obtain, and so on. This paper introduces the concept of data credibility, evaluates the credibility of spontaneous geographic information from two aspects: the sum of user reputation and the changing trend of data in the region, and quantifies the results of qualitative analysis. Using Linus theorem to calculate the sum of the credit degree of users in the region to obtain the relevant information of data quality, taking the proportion of the points retained in the data uploaded by the volunteers as the credit degree of the volunteers, Then, the quality information of the data is obtained from the trend of the change of the data quantity, and the change degree of the data in the study area is calculated to measure the trend of the change of the data. Using Open Street Map data from Beijing and other regions as experimental objects, the validity of the method is verified. The experimental results show that the experimental results obtained by this method are consistent with the quality evaluation results based on reference data.
【作者单位】：信息工程大学地理空间信息学院;
【基金】：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)
【分类号】：P208

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