There is no way! Ternary qualitative spatial reasoning for error detection in map data. Issue 4 (11th June 2021)

• Record Type: Journal Article
• Authors: Majic, Ivan; Naghizade, Elham; Winter, Stephan; Tomko, Martin
• Is Part Of: Transactions in GIS. Volume 25:Issue 4(2021)
• Page Start: 2048
• Page End: 2073
• Publication Date: 2021-06-11
• Subjects: Geographic information systems -- Periodicals; 910.285
• DOI: 10.1111/tgis.12765
• Languages: English
• ISSNs: 1361-1682

Abstract

Abstract: 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.