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Database-supported change analysis and quality evaluation of OpenStreetMap Data

Martini, A.; Kuper, Paul Vincent; Breunig, Martin

A significant advantage of OpenStreetMap data is its up-to-dateness. However, for rural and city planning, it is also of importance to access historical data and to compare the changes between new and old versions of the same area. This paper first introduces into a differentiated classification of changes on OpenStreetMap data sets. Then a methodology for an automated database-supported analysis of changes is presented. Beyond the information already provided from the OpenStreetMap server, we present a more detailed analysis with derived information. Based on this approach it is possible to identify objects with attributive or geometric changes and to find out how they exactly differ from their previous versions. The analysis shows in which regions mappers were active during a certain time interval. Furthermore, a time based approach based on various parameters to determine the quality of the data is presented. It provides a guideline of data quality and works without any reference data. Therefore, an indication about the development of OpenStreetMap in terms of completeness and correctness of the data in different regions is given. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000096306
Veröffentlicht am 09.07.2019
DOI: 10.5194/isprs-annals-IV-2-W5-535-2019
Zitationen: 2
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Geodätisches Institut (GIK)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISSN: 2194-9042
KITopen-ID: 1000096306
Erschienen in ISPRS Geospatial Week 2019, 10-14 June 2019, Enschede, The Netherlands
Veranstaltung ISPRS Geospatial Week (2019), Enschede, Niederlande, 10.06.2019 – 14.06.2019
Verlag ISPRS
Seiten 535-541
Serie ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; IV-2/W5
Schlagwörter OpenStreetMap, Volunteered Geographic Information, spatial database, temporal OSM data, data quality
Nachgewiesen in Scopus
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