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Working with Institutional Data in OSM
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Working with Institutional Data in OSM

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OpenStreetMap SOTM-US Conference presentation, "Working with Institutional Data in OSM". Presentation at the 1st annual State of the Map-US conference in Atlanta GA

OpenStreetMap SOTM-US Conference presentation, "Working with Institutional Data in OSM". Presentation at the 1st annual State of the Map-US conference in Atlanta GA

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Transcript

  • 1. Working with Institutional Data Carl Anderson
  • 2. Relax Big Itch to Contribute Adjust / Correct Data Topology Check for Necessity Obtain Data Attribute Mapping Conflation Exclude Existing Data Check Output Upload Merge New Data
  • 3. Obtain Data
  • 4. Easy
  • 5. Passwords
  • 6. Hidden ?
  • 7. Check for Necessity
    • Mashups (Openlayers,)
    • QGIS
    • UDIG
    • OpenJump
    • ESRI ArcGIS suite
  • 8. Watch out for Projective Issues
  • 9. See an opportunity?
  • 10. See one here?
  • 11. Data Topology Model
    • GIS centric models
    • XML models
    • Internal vs Export Format
    • Inadvertant / Hidden Errors
  • 12. Scripting for Data Repair
    • PostGIS
    • PostLBS
    • OpenJump
        • QA module
        • RoadMatcher module
  • 13. Automating Data Conflation
    • Aligning the objects and vertices
    • Detect changes
    • Remove data is is conceptually the same
    • 90% is easy to do using tools
    • 10% may be better as manual edits
  • 14. OpenJump RoadMatcher
  • 15. GIS Topology Models
    • OSM will have errors too
    • Need to correct all before Conflating
    • Work in smaller areas
    • Work with projected data
  • 16. Convert back to OSM XML
    • Modified version of polyshp2osm.py
      • Derived from Christopher Schmidt's original
      • Ease of editing global parameters
      • Extended to handle
        • MultiLinestring
        • MultiPolygon
        • Better handling of inner boundaries of Polygons
      • PC users need FWTOOLS or equivalent!
  • 17. Import, Final Tagging, and Upload
    • Merkaartor or JOSM
      • Import newly prepared data
      • Download existing data
      • Copy from import to the dirty layer
      • Add nodes to existing objects
      • Double check tags on new objects
      • Triple check with alternate styles
        • Mapnik
        • MapnikPlus
        • others
  • 18. Thanks to Lisa Jackson Jack Kittle Mark Gray Lee Leonard
  • 19. QUESTIONS? Carl Anderson [email_address]