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Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
Using the history of OSM for quality assessment - State of the Map 2013
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Using the history of OSM for quality assessment - State of the Map 2013

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*** Presented by Christopher Barron at State of the Map 2013 …

*** Presented by Christopher Barron at State of the Map 2013
*** For the video please see http://lanyrd.com/2013/sotm/scphkr/
*** Full schedule also available at http://wiki.openstreetmap.org/wiki/State_Of_The_Map_2013

For the purpose of data quality evaluation OSM is almost always compared with reference datasets. However, these datasets are not always accessible due to the lack of availability, contradictory licensing restrictions or high procurement costs. An OSM-Full- History Dump can serve as an alternative source for quality evaluations. Using so-called intrinsic indicators the quality of OSM datasets can be assessed with the help of the data's history. We will present why and how the history of OSM objects matter and which tools were used. For this purpose, examples for selected cities around the world are analysed and compared with each other to reveal differences in terms of OSM data quality based on the history of the dataset's objects.

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  • 1. Using the History of OSM for Quality Assessment Christopher Barron, Pascal Neis, Alexander Zipf Geoinformatics Research Group, Institute of Geography Heidelberg University Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University
  • 2. How can we evaluate OSM datasets without a reference dataset? Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 2
  • 3. Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 3
  • 4. Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 4
  • 5. Methods for Quality Analysis based on an OSM-Full-HistoryDump  Intrinsic Approach Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 5
  • 6. iOSMAnalyzer - Architecture Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 6
  • 7. Examples Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 7
  • 8. Total Road Network Length (1/6) Mapped completely Assumption (Neis et al. 2012): 1) 2) 3) 4) Motorways/Highways Secondary/Tertiary Roads Residential Roads Tracks, Paths, etc. Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 8
  • 9. Total Road Network Length (1/6) Madrid Yaoundé Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 9
  • 10. Positional Accuracy of Junctions (2/6) Helbich et al. (2012) Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 10
  • 11. Positional Accuracy of Junctions (2/6) Madrid Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 11
  • 12. Buildings & House Numbers (3/6) Salzburg Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 12
  • 13. Buildings & House Numbers (3/6) San Francisco Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 13
  • 14. Buildings & House Numbers (3/6) Yaoundé Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 14
  • 15. Topological Errors (4/6) San Francisco Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 15
  • 16. Currentness of Data (5/6) Salzburg Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 16
  • 17. Roads without a name or ref Tag (6/6) Yaoundé Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 17
  • 18. Summary • Q = {V1, V2 … Vn-1} • OSM quality analyses … – based on OSM-Full-History-Dumps; – are possible without reference datasets; – are arbitrarily repeatable. Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 18
  • 19. https://github.com/zehpunktbarron/iOSMAnalyzer GNU GPL Version 3 Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 19
  • 20. Thank you for your attention! Christopher Barron Geoinformatics Research Group Heidelberg University http://giscience.uni-hd.de christopher.barron@geog.uni-heidelberg.de Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University 20

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