Detection and correction of errors in map data based on spatial reasoning may be used to improve their quality. However, the majority of current spatial reasoning approaches are based on binary spatial relations and are not able to perform analyses involving more than two objects. This article proposes building accessibility analysis with the ternary ray intersection model to detect potential map errors. Where buildings are not accessible from the road network, this may indicate potential errors in map data such as roads that are not mapped. The plausibility of the proposed method was tested in a case study on OpenStreetMap data. The results have been published in an online mapping challenge where volunteering mappers have used them to correct errors in map data, and have provided feedback on the analysis. The results show that the proposed method can detect errors in map data that are caused by incorrect classification of buildings, incorrect mapping of multi-part buildings, and missing road data.

中文翻译：

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不可能！地图数据中错误检测的三元定性空间推理

基于空间推理的地图数据中错误的检测和校正可用于提高其质量。然而，当前的大多数空间推理方法都基于二元空间关系，无法执行涉及两个以上对象的分析。本文提出使用三元射线交叉模型构建可达性分析，以检测潜在的地图错误。在无法从道路网络访问建筑物的情况下，这可能表明地图数据（例如未映射的道路）中存在潜在错误。在 OpenStreetMap 数据的案例研究中测试了所提出方法的合理性。结果已发表在在线制图挑战中，志愿制图人员使用它们来纠正地图数据中的错误，并提供有关分析的反馈。