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An evaluation of data completeness of VGI through geometric similarity assessment

机译:通过几何相似度评估对VGI的数据完整性进行评估

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Evaluation of the quality of volunteered geographic information (VGI) has been the subject of a plethora of research in recent years as an imperative issues. In this paper, the corresponding objects between data sets of OpenStreetMap, as one of the well-known VGI projects, and the reference data sets are identified based on an automatic linear object matching method. Moreover, to identify more corresponding objects in two data sets and measuring the completeness more accurately, geometric properties are used. The results showed that 92% of the objects of the OSM data set matched to the reference data set and the total length of the matched objects was 87% of the total length of the objects. The corresponding objects in two data sets have average of 0.86° of spatial similarity. By examining the objects of the OSM data set from 2013 to 2017, a rise of 87.2% detected in individuals' participation in creating the objects and the average spatial similarity degree also underwent an improvement of 0.15.
机译:近年来,对自愿地理信息(VGI)的质量进行评估已成为众多研究的主题,成为当务之急。在本文中,OpenStreetMap数据集之间的对应对象(作为著名的VGI项目之一)和参考数据集是基于自动线性对象匹配方法识别的。此外,为了识别两个数据集中更多的对应对象并更准确地测量完整性,使用了几何属性。结果表明,OSM数据集中92%的对象与参考数据集匹配,匹配对象的总长度为对象总长度的87%。两个数据集中的相应对象的空间相似性平均值为0.86°。通过检查2013年至2017年OSM数据集的对象,个人参与创建对象的参与率上升了87.2%,平均空间相似度也提高了0.15。

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