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Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
Spatial data quality in the city of Amsterdam
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Spatial data quality in the city of Amsterdam

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Presentation by Ad van der Meer, Manager Geo-Information of the City of Amsterdam about spatial data quality aspects of their registers.

Presentation by Ad van der Meer, Manager Geo-Information of the City of Amsterdam about spatial data quality aspects of their registers.

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  • Titel presentatie 1 januari 2003 Gemeente Amsterdam
  • Ander kartografisch model!
  • GBKN panden geprojecteerd op KBK-ondergrond
  • Titel presentatie 1 januari 2003 Gemeente Amsterdam
  • Transcript

    • 1. Spatial data quality in the city of Amsterdam Ad van der Meer Manager Geo-information City of Amsterdam Dept. of Civil Registry and Land Information City of Amsterdam Department of Civil Registry and Geo information
    • 2.
      • Programme
      • introduction
      • What geo-information are we talking about
      • What is it used for
      • Quality, governance and other observations
    • 3.
      • 219 km²
      • Urban areas 51%
      • Other land 24%
      • Water 25%
      • 760.000 inhabitants
      • 175 nationalities
      • 375.000 buildings
      • 440.000 addresses
      • 210.000 parcels
      • 25 departments
      • 7 city districts
      • 16.000 employees
      City of Amsterdam
    • 4. A rich tradition in “geo information”
    • 5.
      • The Geo-information unit is responsible for the production and supply of geo-information in the city of Amsterdam
      • Staff 50
      • Origins: Survey department (Public Works), since approx. 1850  engineering survey work and drafting
      • 1898: first official cartography 1:5.000
      • 1910: first official map series 1:1.000
      • 2008: termination of engineering survey work
      • since 2008 part of the Department for Civil registry and Geo information  focus on basic geo-registrations
      introduction
    • 6. Kleinschalige topografie van Amsterdam First edition 1898
    • 7. Geometric registrations
      • Large scale topo base map (1:500-1:1000)
      • Small scale topo basemap (1:10.000)
      • Aerial photographs
      • 360 o photos
      • Administrative boundaries
    • 8. Large scale topo
    • 9. Boat houses
      • Ook ligplaatsen en standplaatsen
    • 10. Large scale topo
      • Base map (database) 1:500
      • Object-oriented
      • One object model, multiple cartographic models
      • Buildings formed for link to administrative databases
      • Changes come via reconaissance, aerial photos, lists of works, notifications
      • Actuality 3 months (buildings), 1 year (other topo)
      • Accuracy 3-5 cms (buildings), 10-30 cm ‘soft topo’
    • 11. Small scale topo
    • 12.
      • Production scale 1:10.000
        • object-oriented
        • updated annually (aerial photographs)
        • output: cartographic products and object-oriented files
        • printed every 2 years
      Small scale topo
    • 13. Cadastral parcel registration Data supplied by the Cadastre (parcel boundaries and numbers)
    • 14. Registration of addresses-buildings
      • Contains
      • building information and address information
      • source documents (formal decisions)
      • observations (non-formalized real situations)
      • 1.7.2011: compulsory source for all government registrations using addresses & buildings: civil registry, housing department, utility companies, national tax department, social security department, cadastre, …
    • 15. Integration
    • 16. basic registrations dept . of civil registry & geo information city tax dept . parcels Topography (Geometry) buildings addresses businesses persons (cadastre)
    • 17. Relation between these basic registrations ACME inc. topography parcel 31 building address person dwelling business
    • 18. essence of basic registrations Dept.1 Data Dept.2 Dept.3 Dept.4 Dept..n City organisations Geometry Adresses Buildings Copy or extract “ collect once, use many” National facility (Cadastre) Org. A Org. B Org. C Org..n Non-city organisations
    • 19. Use of geo-information
      • Utilities
      • Spatial planning
      • Viewers/GIS-presentations
      • Infrastructure planning and design
      • All kinds of mapping
    • 20. Utility networks
    • 21. Presentation of query results
    • 22. Specific map products
      • Parkeerkaarten Maldenhof
    • 23. Parking enforcement
    • 24. Research into criminal activities
    • 25. Zoning plans
    • 26. Noise inventory
    • 27. Distribution of properties of housing associations
    • 28. large scale topographic database small scale topography visualization generalization simplification
    • 29.
      • Common characteristics of usage:
      • base for user applications
      • user application adds value
      • quality must cover all usage
      • used ‘as is’, hardly feedback
      • Users basically want information with maximum quality and minimal cost
    • 30.
      • MAXIMUM QUALITY
      • Accuracy – Completeness - Actuality
      • Intrinsic accuracy:
      • based on experience
      • relate to practice (width of a spade)
      • ‘ hard’ and ‘soft’ topography  determinability
      • urban environment vs national standards
      • quality control through onsite check and object checking
      • No plans / no need for increasing geometrical accuracy
    • 31.
      • Completeness
      • Change detection through:
        • - surveyors
        • - aerial photographs
        • - signals from basic registration addresses&buildings
      • 100% checks for buildings (with BR addr&build)
      • Areawide completeness check every couple of years (through aerial photos)
      • Vision:
      • computer assisted change detection
      • integrated design process in municipal organisation
    • 32.
      • Actuality
      • 3 months for buildings, 1 year for other geometry
      • Ideal: day to day actuality
      • vision1: planned buildings from basic registration addresses&buildings
      • vision2: planned geometry as part of database – requires connection to design systems from planning departments
    • 33.
      • MINIMUM PRICE
      • central budget (for city departments)
      • inconspicuous (technical character, backoffice)
      • costs and profits at separate departments
      • price discussion = policy makers / politicians
      • regular threat of budget cuts
      • enter a new world…
    • 34.
      • What’s on a policy maker’s mind?
      Persoon/bestuurder Sick spouse museum coalition New canal Poverty policy budget Council troubles Municipal reform National gov’t plans press metro housing speculation ICT Garbage men strike Safety issues Urban renewal New car geo
    • 35.
      • Geo-information is like water: obvious, always there – until you don’t have it any more
      • the real profits are in the process-chains
      • municipal financial model not suited to this
      • business cases give insight
      • make good showcases: a map is better than a thousand words
    • 36.
      • Observations on quality:
      • highest accurary isn’t heaven
      • completeness and consistency is
      • Don’t focus on technology, but on processes
      • quality isn’t about thick handbooks (metadata-problem)
      • but about motivated professionals who see the need for quality management (psychology)
    • 37.
      • One more issue
      • Netherlands: basic registration geometry in progress
      • at present: municipality produces base map
      • plan: 8 governmental agencies do their part, with assembly line to mount it into one
      • complex, requires lots of coordination, inconsistent data
    • 38.  
    • 39. topography municipalities Min of Agriculture Roads board Railway board provinces water boards Min. of defence central geometry facility
    • 40. Land parcels in this basic registration land parcel <> topography! surveys by individual farmers??
    • 41. Topographic parcel Agricultural parcel (Land parcel) Cadastral parcel
    • 42.
      • Three parcel types, three quality aspects
      • Cadastral parcel  cadastre (obvious)
      • Agricultural parcel  land parcel institute / farmer (obvious)
      • Topographical parcel  not obvious
      • Advice: involve a geometry departement, because…
      • Multi-interpretation of to-be-surveyed lines
      • Heterogenous surveying (technical quality)
      • Complex organisation for combination
      • Survey once – use many
      • independent check for land parcel data
    • 43. Thank you for your attention!

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