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Understanding the quality of user generated mapping – comparing OpenStreetMap to Ordnance Survey geodata  Dr Muki Haklay  Department of Civil, Environmental and Geomatic Engineering, UCL  [email_address]
Outline ,[object Object],[object Object],[object Object],[object Object]
User Generated Geographical information  ,[object Object],[object Object],[object Object]
Flickr
Geograph.org.uk  ,[object Object],[object Object],[object Object]
Google Map Maker
OpenStreetMap ,[object Object],[object Object],[object Object],[object Object],(Image source: OpenStreetMap)
OpenStreetMap ,[object Object],[object Object]
Creating Maps for OSM  (Image source: OpenStreetMap)
OSM technological stack (cc) OpenStreetMap Haklay, M. And Weber, P., 2008, OpenStreetMap – User Generated Street Map, IEEE Pervasive Computing.
Simplified glue – OSM API vs. OGC WMS ,[object Object],[object Object],[object Object],Haklay, M. And Weber, P., 2008, OpenStreetMap – User Generated Street Map, IEEE Pervasive Computing.
(Image source: OpenStreetMap)
Mapping parties (cc) Urbanwide - flickr  (cc) Nick black (c) Andrea Antonello
Achievements  ,[object Object],[object Object],[object Object]
The quality issue ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The problem ,[object Object],[object Object]
Who collects?
Who collects?  (c) Dair Grant (cc) Chris Fleming (cc) Shaun McDonald
Working together
Number of Users Area covered (Sq Km) 1 40021 2 20720 3 9136 4 4184 5 1986 6 936 7 448 8 269 9 139 10 and above 246
Users ,[object Object],[object Object]
Accuracy and Completeness  ,[object Object],[object Object],[object Object]
Positional Accuracy ,[object Object],A B
Goodchild and Hunter (1997), Hunter (1999) method ,[object Object],[object Object],[object Object]
Motorway comparison ,[object Object],[object Object],Motorway Percentage Overlap M1 87.36% M2 59.81% M3 71.40% M4 84.09% M4 Spur 88.77% M10 64.05% M11 84.38% M20 87.18% M23 88.78% M25 88.80% M26 83.37% M40 72.78% A1(M) 85.70% A308(M) 78.27% A329(M) 72.11% A404 76.65%
Estimating positional accuracy
Positional accuracy ,[object Object],[object Object],Area Average difference (m) Barnet 6.77 Highgate 8.33 New Cross 6.04 South Norwood 3.17 Sutton 4.83 Total  5.83
Completeness – bulk method ,[object Object],[object Object],[object Object]
 
London
Birmingham
Manchester and Liverpool
Length comparison ,[object Object],[object Object],[object Object]
Completeness - visual comparison
Completeness – visual comparison
Completeness
Spatial justice and OSM
Spatial justice and OSM
So should I use OSM? ,[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object]
Further reading  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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