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Nov 09, 2023 183 likes •419 views

Towards Intrinsic Quality Analysis of OpenStreetMap Datasets Christopher Barron , Pascal Neis, Alexander Zipf Geoinformatics Research Group, Institute of Geography Heidelberg University Christopher Barron, Geoinformatics Research Group,

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Towards Intrinsic Quality Analysis

  • f OpenStreetMap Datasets

Christopher Barron, Pascal Neis, Alexander Zipf Geoinformatics Research Group, Institute of Geography Heidelberg University

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Mapping, Routing, LBS, etc.

 No intercalated instance for quality assurance!

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Research on OSM Data Quality

  • Road Network: Haklay (2008), Ather (2009),

Kounadi (2009), Ludwig (2010), Zielstra & Zipf (2010), Helbich et al. (2012), Neis et al. (2012), etc.

  • Polygon Features: Girres & Touya (2010), Mooney

et al. (2010), etc.  Reference Dataset

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Problem

Reference Dataset:

  • Availability
  • Licensing Restrictions
  • Costs
  • Actuality
  • Suitability

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Motivation

How can we evaluate OSM datasets without a reference dataset?

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Methods for Quality Analysis based on an OSM-Full-History- Dump  Intrinsic Approach

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

iOSMAnalyzer

  • Framework for intrinsic OSM quality analysis
  • Command line based tool
  • Output: statistics, maps & plots
  • ‘Fitness for Purpose’

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

iOSMAnalyzer - Architecture

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

iOSMAnalyzer – Based on Open Source Components

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

iOSMAnalyzer - Framework

General Area Information

  • Development of points, lines & polygons
  • Actuality of the dataset
  • Comparison of newly created and edited objects
  • Quantitative analysis in respect to the attributes of

OSM features

  • Syntactic attribute accuracy
  • Positional accuracy of road intersections from

different timestamps

Routing & Navigation

  • Development of the total road network length
  • Development of the syntactic attribute accuracy of

roads

  • Actuality of the road network
  • Logical consistency of the total road network
  • Roads without a name or route number
  • Grid-based analysis of the positional accuracy of the

total road network

Address-Search

  • Increase/decrease of address information over time
  • Completeness of house numbers tagged to

buildings

Points of Interest- Search

  • Development of POIs & average number of

attributes

  • Attributive completeness of several POI categories

Map-Applications

  • Development of the geometry representation of

polygons

  • Untouched points, lines & polygons
  • Development of invalid polygons
  • Logical consistency of landuse polygons
  • Quantitative development of selected polygons

User -Information & -behavior

  • Number & activity of contributors
  • Distribution of contributions
  • User profiles

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

iOSMAnalyzer – Example (1/2)

General Area Information

  • Development of points, lines & polygons
  • Actuality of the dataset
  • Comparison of newly created and edited objects
  • Quantitative analysis in respect to the attributes of

OSM features

  • Syntactic attribute accuracy
  • Positional accuracy of road intersections from

different timestamps

Routing & Navigation

  • Development of the total road network length
  • Development of the syntactic attribute accuracy of

roads

  • Actuality of the road network
  • Logical consistency of the total road network
  • Roads without a name or route number
  • Grid-based analysis of the positional accuracy of the

total road network

Address-Search

  • Increase/decrease of address information over time
  • Completeness of house numbers tagged to

buildings

Points of Interest- Search

  • Development of POIs & average number of

attributes

  • Attributive completeness of several POI categories

Map-Applications

  • Development of the geometry representation of

polygons

  • Untouched points, lines & polygons
  • Development of invalid polygons
  • Logical consistency of landuse polygons
  • Quantitative development of selected polygons

User -Information & -behavior

  • Number & activity of contributors
  • Distribution of contributions
  • User profiles

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Total Road Network Length (1/2)

Assumption (Neis et al. 2012):

1) Motorways/Highways 2) Secondary/Tertiary Roads 3) Residential Roads 4) Tracks, Paths, etc.

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Mapped completely

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Total Road Network Length (1/2)

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Total Road Network Length (1/2)

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

iOSMAnalyzer – Example (2/2)

General Area Information

  • Development of points, lines & polygons
  • Actuality of the dataset
  • Comparison of newly created and edited objects
  • Quantitative analysis in respect to the attributes of

OSM features

  • Syntactic attribute accuracy
  • Positional accuracy of road intersections from

different timestamps

Routing & Navigation

  • Development of the total road network length
  • Development of the syntactic attribute accuracy of

roads

  • Actuality of the road network
  • Logical consistency of the total road network
  • Roads without a name or route number
  • Grid-based analysis of the positional accuracy of the

total road network

Address-Search

  • Increase/decrease of address information over time
  • Completeness of house numbers tagged to

buildings

Points of Interest- Search

  • Development of POIs & average number of

attributes

  • Attributive completeness of several POI categories

Map-Applications

  • Development of the geometry representation of

polygons

  • Untouched points, lines & polygons
  • Development of invalid polygons
  • Logical consistency of landuse polygons
  • Quantitative development of selected polygons

User -Information & -behavior

  • Number & activity of contributors
  • Distribution of contributions
  • User profiles

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Positional Accuracy of Junctions (2/2)

Helbich et al. (2012)

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Positional Accuracy of Junctions (2/2)

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  • Jan. 2012 & Jan. 2013
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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Summary

  • Q = {V1, V2 … Vn-1}
  • OSM quality analysis …

– based on OSM-Full-History-Dumps; – are possible without reference datasets; – are arbitrarily repeatable.

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Future Work

  • Include further methods & indicators
  • Consideration of relations
  • Contributor profiles
  • Vandalism detection
  • Analysis on different scales (e.g. country)
  • Performance improvement

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

Thank you for your attention!

Christopher Barron Geoinformatics Research Group Institute of Geography Heidelberg University

http://giscience.uni-hd.de christopher.barron@geog.uni-heidelberg.de

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Christopher Barron, Geoinformatics Research Group, Institute of Geography, Heidelberg University

References

Ather, A. (2009): A Quality Analysis of OpenStreetMap Data. Dissertation, University College London, Department of Civil, Environmental & Geomatic Engineering. 81 S. Girres, J.-F. & Touya, G. (2010): Quality Assessment of the French OpenStreetMap Dataset. In: Transactions in GIS, 14 (4), S. 435 - 459. Haklay, M. (2008): How good is Volunteered Geographical Information? A comparative study of OpenStreetMap and Ordnance Survey datasets. In: Environment and Planning B: Planning and Design, 37 (4), S. 682 - 703. Helbich, M.; Amelunxen, C.; Neis, P.; Zipf, A. (2012): Comparative Spatial Analysis of Positional Accuracy of OpenStreetMap and Proprietary Geodata. In: Strobel, J. et al. (Hg.) (2012): Angewandte Geoinformatik

  • 2012. Berlin/Offenbach: Herbert Wichmann Verlag, VDE Verlag GmbH, S. 24 - 33.

Kounady, O. (2009): Assessing the quality of OpenStreetMap data. MSc dissertation, University College of London, Department of Civil, Environmental And Geomatic Engineering. 80 S. Ludwig, I. (2010): Abbildung von Straßendaten für Qualitätsuntersuchungen. Ein Vergleich von OpenStreetMap mit Navteq. Diplomarbeit, Rheinische Friedrich-Wilhelms Universität Bonn, Geographisches Institut. 145 S. Mooney, P.; Corcoran, P.; Winstanley, A. C. (2010): A study of data representation of natural features in

  • penstreetmap. In: Proceedings of the 6th GIScience International Conference on Geographic Information

Science, GIScience 2010, University of Zurich. Neis, P.; Zielstra, D.; Zipf, A. (2012): The Street Network Evolution of Crowdsourced Maps: OpenStreetMap in Germany 2007-2011. In: Future Internet, 2012 (4), S. 1 - 21. Zielstra, D. & ZIPF, A. (2010): A Comparative Study of Proprietary Geodata and Volunteered Geographic Information for Germany. AGILE 2010. The 13th AGILE International Conference on Geographic Information Science. Guimarães, Portugal.

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