Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project
Assessing the Accuracy of Volunteered Geographic Information arising from Multiple Contributors to an Internet Based Collaborative Project
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DOI：
10.1111/tgis.12033
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发表时间：
2013-12-01
影响因子：
2.4
通讯作者：
Boyd, D. S.
中科院分区：
文献类型：
--
作者：
Foody, G. M.;See, L.;Boyd, D. S.
最近兴起的新地理学和公民感知增加了利用众包作为获取数据支持地理研究的手段的机会。然而，所产生的自愿提供的地理信息的价值往往受到与其质量和对提供资料的数据源的信任程度有关的关切的限制。在这里，关于志愿地理信息来源质量的信息是使用潜在类别分析得出的。自愿提供的信息是从卫星传感器图像目视解译的土地覆盖情况，主要重点是65名志愿人员中的7人对299个地点进行了标记，这些志愿人员为一个基于互联网的协作项目作出了贡献。利用多名志愿者获得的土地覆盖信息，可以准确地表征不同志愿者数据的相对质量，但不是绝对质量。此外，由一名志愿者提供的信息质量因班级不同而不同，这一分析可以作为其特征。因此，潜在类别分析能够提供关于志愿人员之间和内部提供的信息质量的信息。
The recent rise of neogeography and citizen sensing has increased the opportunities for the use of crowdsourcing as a means to acquire data to support geographical research. The value of the resulting volunteered geographic information is, however, often limited by concerns associated with its quality and the degree to which the contributing data sources may be trusted. Here, information on the quality of sources of volunteered geographic information was derived using a latent class analysis. The volunteered information was on land cover interpreted visually from satellite sensor images and the main focus was on the labeling of 299 sites by seven of the 65 volunteers who contributed to an Internet-based collaborative project. Using the information on land cover acquired by the multiple volunteers it was shown that the relative, but not absolute, quality of the data from different volunteers could be characterized accurately. Additionally, class-specific variations in the quality of the information provided by a single volunteer could be characterized by the analysis. The latent class analysis, therefore, was able to provide information on the quality of information provided on an inter- and intra-volunteer basis.