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The cartographic vision



Ed Parsons <ed.parsons@ordnancesurvey.co.uk>
Chief Technology Officer

October 2005
Ordnance Survey - key facts

     There is much more to Ordnance Survey than you might think...

        Market leader with more than 200 years of mapping expertise

        Data underpins around 10% of Great Britain's economic
         activity

        Financed through data licensing rather than direct funding
         from taxpayers

        More than 50% trading revenue comes from non-public sector
         customers

        At the forefront of the drive to provide intelligent geographical
         information



2
Where we are
    today ...
3
Document centric cartography




5
Flowline reversal




                        1980-2000




                         2000+

6
Where we are
    going ...

7
Database centric cartography
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8
Database centric cartography -
    Ed’s golden rule 1



                                      “Separate
                                 representation
     Ordnance Survey Land-Line

                                     from data”



     Ordnance Survey MasterMap



9
Database centric cartography

     •   Geometry is just an attribute !

     •   Multiple geometry's associated with a single feature

     •   Multiple cartographic representations associated with each
         feature




          Feature                          Geometry’s           Representations


10
Database centric cartography




                       Digital      Digital
     Real World        Landscape    Cartographic
                       Models       Models




11
Rebuilding the
     Factory



12
Project “Phoenix”

     •   Multi-Million Euro investment programme to
         allow seamless object editing of core Digital
         Landscape Model

     •   Supports Long Transactions

     •   Basic service orientated architecture




13
Job Management Tool
                                         Product
                                          Store
     Editor


                Transaction Service
                                         Product
                                         Adaptor


                                      Generalisation
                                         Agent
                      Maia
                    Core DLM


     Archive

                                         Derived
                                          DLM

14
Cascading DLM’s

                                                         DCM Production

                                                            DLM 250K ?
                                      DCM Production

                                            DLM 100K ?

                    DCM Production

                                             on
                                           ti
                                         a
                                      lis
                       DLM 10K ?


                                   ra
                            ne
                           e
                         G
       Source DLM




15
Generalisation

     •   Modifying the relative location and geometry of features

     •   A difficult problem to automate

     •   Current ‘best” solutions rely on AI systems e.g. LaserScan Clarity




16
Conclusions

     •   Database centric cartography requires an shift in organisaition
         thinking

     •   Huge benefits from deriving products from a “single source of
         truth”

     •   New ESRI cartographic representation tools are a massive step
         forward

     •   Generalisation is still a difficult problem

     •   Operational solutions must support interoperability between
         systems




17
Thank you..




         presentation available at www.edparsons.com


18

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Cartographic vision

  • 1. The cartographic vision Ed Parsons <ed.parsons@ordnancesurvey.co.uk> Chief Technology Officer October 2005
  • 2. Ordnance Survey - key facts There is much more to Ordnance Survey than you might think...  Market leader with more than 200 years of mapping expertise  Data underpins around 10% of Great Britain's economic activity  Financed through data licensing rather than direct funding from taxpayers  More than 50% trading revenue comes from non-public sector customers  At the forefront of the drive to provide intelligent geographical information 2
  • 3. Where we are today ... 3
  • 4.
  • 6. Flowline reversal 1980-2000 2000+ 6
  • 7. Where we are going ... 7
  • 8. Database centric cartography sgb' ces/o espa '?> TF-8 m a ml/n g='U uk/x din / ttp:/ y.co. nco sgb h 1.0' e on urve ' s o ion= ance aces/ l' ti ' l vers reCollec ww.ordn s.net/gm ink' tance l/namesp ns <?xm :Featu ma-i 9</ engi 9/xl ://w m -03-2 'http /www.op .org/199 MLSche y.co.uk/x res.xsd' sgb 3 <o = , 200 :osgb 1/X .w3 rve tu :/ mlns gml='http ://www .org/200 nancesu SDNFFea erved es x hts r ttp rd s: 3 O xmln :xlink='h ://www.w ://www.o ema/v2/ ll rig .A right h s p xmln :xsi='http tion='htt k/xml/sc Copy dBy> rown unde mlns emaLoca rvey.co.u C bo x y, (c) gml: su ch xsi:s ordnance 1'> urve ll></ ime> nce S u ml:n . - ryT www DS-2192 n>Ordna n</g sgb:que ow 0 o G fid=' descripti > nkn 0.00 </o ull>u 16:55:34 5250 ates> l: n ,1 <gm escription y><gml: 3-29T .000 din 2000 gml:coor -0 B :d ded ml 03 46 20 g n 0 00</ l:bou 0.00 me> '> <gm :queryTi ent> :BNG 5200 152000.0 'osgb ,1 .000 t b 0, <osg :queryEx sName= 2000 61000.00 46 sr b <osg Polygon daryIs> 0 00 4 0.00 5200 ,153000.0 ml: terBoun ,1 <g .000 0 g> ou gml: inearRin >461000 61000.00 < tes 4 l:L <gm coordina 000.000 3 l: <gm 0.000,15 ng> 00 i 462 l:LinearR ndaryIs> u </gm l:outerBo > </gm l:Polygon </gm 8
  • 9. Database centric cartography - Ed’s golden rule 1 “Separate representation Ordnance Survey Land-Line from data” Ordnance Survey MasterMap 9
  • 10. Database centric cartography • Geometry is just an attribute ! • Multiple geometry's associated with a single feature • Multiple cartographic representations associated with each feature Feature Geometry’s Representations 10
  • 11. Database centric cartography Digital Digital Real World Landscape Cartographic Models Models 11
  • 12. Rebuilding the Factory 12
  • 13. Project “Phoenix” • Multi-Million Euro investment programme to allow seamless object editing of core Digital Landscape Model • Supports Long Transactions • Basic service orientated architecture 13
  • 14. Job Management Tool Product Store Editor Transaction Service Product Adaptor Generalisation Agent Maia Core DLM Archive Derived DLM 14
  • 15. Cascading DLM’s DCM Production DLM 250K ? DCM Production DLM 100K ? DCM Production on ti a lis DLM 10K ? ra ne e G Source DLM 15
  • 16. Generalisation • Modifying the relative location and geometry of features • A difficult problem to automate • Current ‘best” solutions rely on AI systems e.g. LaserScan Clarity 16
  • 17. Conclusions • Database centric cartography requires an shift in organisaition thinking • Huge benefits from deriving products from a “single source of truth” • New ESRI cartographic representation tools are a massive step forward • Generalisation is still a difficult problem • Operational solutions must support interoperability between systems 17
  • 18. Thank you.. presentation available at www.edparsons.com 18