Presentation in Mobile Tartu 2010 seminar

1. OpenStreetMap and positioning JaakLainesteOpenStreetMap Estonia Nutiteq.com

2. OpenStreetMap Wikipedia of maps Global database Focused to current street maps No elevation, history etc Community 300.000+ registered users Very strong in Germany Free and open to use CC-BY-SA license

3. How OSM is created Field mapping GPS traces Walking Papers – paper notes On-screen mapping Yahoo! Imagery Regional sources: e.g. Estonian National Land Board Imports USA: TIGER data Europe: Corine Land Cover etc

5. Mapping parties

7. Data in OSM Databases Map data Nodes, ways, relations Tagged openly History: who, when, changesets GPS traces Base for map

8. GPS Trace data HTTP REST-based API Based on BBOX Tracks and trackpoints (lat/long) No timestamp, user ID GPX format (simple XML) Someone has been in point X Track details from database Timestamp, user ID

9. Map data Ways and nodes: User ID Editing time Information about locations: Probably editor has been in the point around editing time (+ maybe few weeks) Density of different editors Quite ambiguous

10. London – different editors ITOWorld extract

11. Using OSM data GPS track High precision – time and location Less users Map locations Low precision More users Movement distribution Places what and when users have visited

12. OSM advantages Coverage is: Global Quick, get the data now Free Real usability? Real coverage is variable

13. Coverage statistics http://wiki.openstreetmap.org/wiki/Statistics Registered users: ~300,000, <5% active About 6,000 editors/week Tracks Points: ~200,000,000,000 Traces: 800,000 traces Map nodes: ~ 750,000,000

14. Key issues User is in „mapping mode“. May be special trip Most mappers do not upload/share GPS traces User can trace aerials, without being there Regional differences Very good in e.g. Germany, UK Limited in e.g. US (TIGER imports)

15. Other uses of OSM Use OpenStreetMap as a base map Positioning accuracy improvement GPS trace shows where people are more probably Share your GPS traces in OSM Contribute to OSM fix map of your neighbourhoods!

16. Study: distribution of GPS traces Two random cities picked Tartu, Estonia – well-known town Weimar, Germany – unknown town GPS traces downloaded for town area Tartu – 9x9 km, 160.000 points, 42 tracks Weimar – 7x7 km, 100.000 points, 33 tracks Spatial distribution of traces Visualized in 50 or 100-m grid

17. Tartu map in OSM

18. Tartu GPS traces

19. Tartu, 100m grid of GPS points

20. Weimar map

21. Weimar, GPS trackpoints

22. Weimar, 50m grid

23. Map of central London

24. GPS traces

25. GPS points on map

26. London grid Points: 440 000, tracks: 220

27. Thank you! Jaak Laineste jaak@openstreetmap.ee www.openstreetmap.org wiki.openstreetmap.org Credits: Microsoft support for fixing my PowerPoint