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The rise of crowd-
sourcing - how valuable
data can we get out of
VGI

Grega Mil!inski
grega.milcinski@sinergise.com
Contents

!    About Sinergise

!    VGI trends

!    Practical experiences
      !  OpenStreetMap

      !  Geopedia




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    2
About Sinergise




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    3
About Sinergise




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    4
About Sinergise
!    8 years in GIS
!    20 people, mostly programmers
!    Governmental Solutions
      •  Agriculture – IACS
      •  Real-estate Management
!    We run GIS in Slovenia and going outwards
      •  2008 - IACS in Croatia
      •  2009 – Real Estate in Africa
      •  2010 – IACS in Macedonia
•    VGI project Geopedia.si running since 2007

 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     5
Rise of Volunteered Geographic
Information (VGI)
Michael Jones, Google:
The chief Internet evangelist at Google Inc., and one of the
founding fathers of the Internet, says he’d like to see a
geographic equivalent of Wikipedia — “Geopedia,” he dubs it —
where anyone could add to the world’s geographic know-how.


Jack Dangerman, ESRI:
He worries that even the best-intentioned amateur could provide
inaccurate data that could lead to a disaster. “Who wants to dig a
hole and run into a pipe?” Dangerman asks.
                                                                (GeoWeb, summer 2007)

The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                        6
Short history of Wikipedia
!    January 2001 – start

!    October 2005 – criticism
      •  “Broadly speaking, it's inaccurate and unclear.”

      •  “I wouldn't have thought of using Wikipedia as a serious reference
          source”

!    December 2005 – “Wikipedia is about as good a source of accurate
     information as Britannica” (Nature)

!    June 2008 – “Encyclopaedia Britannica To Follow Modified Wikipedia
     Model”

!    June 2009 – “Wikipedia, with a 97% share of the online encyclopedia
     market, has forced Microsoft to shut down Encarta.“

 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     7
Creating your own VGI system

!    idea

!    infrastructure

!    technology
!    basic content

!    rules

!    community
!    users

 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     8
Idea

!    What would we like to achieve?

!    Which data are we collecting?



!    More focused the idea is, better possibilities for a
     success.




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     9
Infrastructure

!    Requirements
      •  Data storage (raster and vector data)
      •  Application servers
      •  Network

!    Possibilities
      •  Set of own servers

      •  Cloud (Google Maps, SimpleGeo,...) + own servers
      •  Cloud (Google MyMaps, Amazon, Geopedia.si,..)

 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     10
Technology

!    Open source
      •  Geoserver, OpenLayers, Drupal
      •  PostGis, MySQL

!    Minimum development
      •  ESRI
      •  Oracle, MS SQL

!    Custom software


 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     11
Basic content

!    Orientation
      •  Topographic maps, satellite/aerial imagery
            ! Google Maps (restrictions!) and similar, open data (NASA),
                government

!    Geo-location
      •  Municipalities, street numbers
            ! Google Maps (restrictions!), open data (Natural earth),
                government

!    Topic data
      •  Depends on the idea

 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     12
Rules

!    Lesson from Wikipedia
      •  “Nature said its reviewers found that Wikipedia
          entries were often poorly structured” (June 2005)

!    Maps vs GIS




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     13
Community

!    Wikipedia
      •  365 MIO visitors (2010)
      •  500.000 contributors
      •  2000 power users (mothly activity)

!    Geopedia.si
      •  620.000 visitors (2010)

      •  15.000 contributors
      •  55 power users

 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     14
Users

!    Who will make use of the data collected

!    How?
      •  on-line viewer
      •  web-services
      •  data export

!    Where the data will be maintained?




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     15
Real-life experiences

!    OpenStreetMap




!    Geopedia.si




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     16
Open-street map
Idea                             Creation of a free, editable map of the whole world
                                 (roads, buildings, etc.)
Infrastructure                   Own servers
Technology                       OpenLayers
                                 PostgreSQL
                                 Other software (Potlatch, Maplink...)

Basic content                    Yahoo! Aerial Imagery
                                 Some government’s data (US Gov, AND Holland,
                                 Ordnance Survey, ...)

Rules                            Well-defined feature list
Community                        >200.000 (end of 2009)
                                 10 % contributing the majority of the data

Users                            Haiti Earthquake, large number of web-sites (web-
                                 services, tiles)

The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                       17
Open-street map – Haiti earthquake




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    18
Open-street map – Kibera slum




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    19
Geopedia.si
Idea                             Infrastructure for VGI systems, collection of all spatial
                                 data in Slovenia
Infrastructure                   Own servers
Technology                       Own software (Giselle)
                                 MySQL / PostgreSQL

Basic content                    Topographic maps, aerial imagery, DMR (Slovenia)
                                 Street numbers, other government data

Rules                            •  single-theme applications with strict business rules
                                 •  editable spatial layers with pre-defined structure
                                 •  creation of own layers
Community                        20.000
                                 5% contributing the majority of the data

Users                            Illegal dump-sites, Cyclists, Mountaineering organization,
                                 Encyclopedia of natural and cultural heritage, Energy
                                 agency, ...

The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                             20
Geopedia.si - SDI

                                                                                    Home
                                                                                    Office
                                                                                    MOD
                                                                                    Inland
                                                                                    Revenue
                                                                                    Secret
                                                          Common Access Point       Service
                                                                                    Cabinet
                                                                                    Office
                                                                                    DEFRA
                                                                                    Emergency
                                                                                    Services
                                                                                    Private
                                                                                    Sector
                                                                                    Customs
                                                                                    & Excise
                                                                                    Police

                                                          Based on industry         Coast
                                                                                    Guard
                                                          standard OGC protocols
                                                                                    Defence
                                                                                    Estates
                                                                                    DSTL
                                                                                    Immigration
                                                                                    Service
                                                                                    Civil Aviation
                                                                                    Authority




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                                     21
Geopedia.si – cycling




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    22
Geopedia.si – cycling

!    800 paths

!    25.000 km




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     23
Geopedia.si – illegal dump-site registry




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    24
Geopedia.si - floods




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    25
Geopedia.si – stats

!    150.000 monthly visits (3 MIO page-views)

!    average time on site – 8 minutes

!    6.000 spatial layers (1000 marked as “good
     quality”)

!    10 MIO of spatial entries



!    (only in Slovenia)

 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     26
Comparison to non-VGI
Michael Jones, Google:
The chief Internet evangelist at Google Inc., and one of the
founding fathers of the Internet, says he’d like to see a
geographic equivalent of Wikipedia — “Geopedia,” he dubs it —
where anyone could add to the world’s geographic know-how.


Jack Dangerman, ESRI:
He worries that even the best-intentioned amateur could provide
inaccurate data that could lead to a disaster. “Who wants to dig a
hole and run into a pipe?” Dangerman asks.
                                                                (GeoWeb, summer 2007)

The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                        27
Comparison to non-VGI

!    LPIS

!    Land Cadastre




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     28
LPIS

!    Government operated, based on farmer’s input

!    Used for distribution of agriculture subsidies




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     29
LPIS – strict control




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    30
LPIS - Quality

!    Theoretically not possible to meet EU requirements in
     some cases (max 3% of area difference).




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     31 d
Land Cadastre

!    Government operated, based on field survey

!    Used for land administration, taxation




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     32
Land Cadastre – strict control




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    33
Land Cadastre – quality

!    Not good enough as a base for LPIS (in Slovenia
     and some other cases)




 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     34
Conclusion

!    VGI does not produce perfect results
                                       Neither do “professional” systems

!    Good enough for practical purpose




!    Improving in the future (mobile GIS, etc.)
 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                     35
Thank you




                                         Questions?




The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011
                                                                                    36

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The rise of crowd-sourcing - how valuable data can we get out of VGI

  • 1. The rise of crowd- sourcing - how valuable data can we get out of VGI Grega Mil!inski grega.milcinski@sinergise.com
  • 2. Contents !  About Sinergise !  VGI trends !  Practical experiences !  OpenStreetMap !  Geopedia The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 2
  • 3. About Sinergise The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 3
  • 4. About Sinergise The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 4
  • 5. About Sinergise !  8 years in GIS !  20 people, mostly programmers !  Governmental Solutions •  Agriculture – IACS •  Real-estate Management !  We run GIS in Slovenia and going outwards •  2008 - IACS in Croatia •  2009 – Real Estate in Africa •  2010 – IACS in Macedonia •  VGI project Geopedia.si running since 2007 The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 5
  • 6. Rise of Volunteered Geographic Information (VGI) Michael Jones, Google: The chief Internet evangelist at Google Inc., and one of the founding fathers of the Internet, says he’d like to see a geographic equivalent of Wikipedia — “Geopedia,” he dubs it — where anyone could add to the world’s geographic know-how. Jack Dangerman, ESRI: He worries that even the best-intentioned amateur could provide inaccurate data that could lead to a disaster. “Who wants to dig a hole and run into a pipe?” Dangerman asks. (GeoWeb, summer 2007) The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 6
  • 7. Short history of Wikipedia !  January 2001 – start !  October 2005 – criticism •  “Broadly speaking, it's inaccurate and unclear.” •  “I wouldn't have thought of using Wikipedia as a serious reference source” !  December 2005 – “Wikipedia is about as good a source of accurate information as Britannica” (Nature) !  June 2008 – “Encyclopaedia Britannica To Follow Modified Wikipedia Model” !  June 2009 – “Wikipedia, with a 97% share of the online encyclopedia market, has forced Microsoft to shut down Encarta.“ The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 7
  • 8. Creating your own VGI system !  idea !  infrastructure !  technology !  basic content !  rules !  community !  users The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 8
  • 9. Idea !  What would we like to achieve? !  Which data are we collecting? !  More focused the idea is, better possibilities for a success. The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 9
  • 10. Infrastructure !  Requirements •  Data storage (raster and vector data) •  Application servers •  Network !  Possibilities •  Set of own servers •  Cloud (Google Maps, SimpleGeo,...) + own servers •  Cloud (Google MyMaps, Amazon, Geopedia.si,..) The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 10
  • 11. Technology !  Open source •  Geoserver, OpenLayers, Drupal •  PostGis, MySQL !  Minimum development •  ESRI •  Oracle, MS SQL !  Custom software The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 11
  • 12. Basic content !  Orientation •  Topographic maps, satellite/aerial imagery ! Google Maps (restrictions!) and similar, open data (NASA), government !  Geo-location •  Municipalities, street numbers ! Google Maps (restrictions!), open data (Natural earth), government !  Topic data •  Depends on the idea The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 12
  • 13. Rules !  Lesson from Wikipedia •  “Nature said its reviewers found that Wikipedia entries were often poorly structured” (June 2005) !  Maps vs GIS The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 13
  • 14. Community !  Wikipedia •  365 MIO visitors (2010) •  500.000 contributors •  2000 power users (mothly activity) !  Geopedia.si •  620.000 visitors (2010) •  15.000 contributors •  55 power users The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 14
  • 15. Users !  Who will make use of the data collected !  How? •  on-line viewer •  web-services •  data export !  Where the data will be maintained? The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 15
  • 16. Real-life experiences !  OpenStreetMap !  Geopedia.si The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 16
  • 17. Open-street map Idea Creation of a free, editable map of the whole world (roads, buildings, etc.) Infrastructure Own servers Technology OpenLayers PostgreSQL Other software (Potlatch, Maplink...) Basic content Yahoo! Aerial Imagery Some government’s data (US Gov, AND Holland, Ordnance Survey, ...) Rules Well-defined feature list Community >200.000 (end of 2009) 10 % contributing the majority of the data Users Haiti Earthquake, large number of web-sites (web- services, tiles) The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 17
  • 18. Open-street map – Haiti earthquake The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 18
  • 19. Open-street map – Kibera slum The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 19
  • 20. Geopedia.si Idea Infrastructure for VGI systems, collection of all spatial data in Slovenia Infrastructure Own servers Technology Own software (Giselle) MySQL / PostgreSQL Basic content Topographic maps, aerial imagery, DMR (Slovenia) Street numbers, other government data Rules •  single-theme applications with strict business rules •  editable spatial layers with pre-defined structure •  creation of own layers Community 20.000 5% contributing the majority of the data Users Illegal dump-sites, Cyclists, Mountaineering organization, Encyclopedia of natural and cultural heritage, Energy agency, ... The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 20
  • 21. Geopedia.si - SDI Home Office MOD Inland Revenue Secret Common Access Point Service Cabinet Office DEFRA Emergency Services Private Sector Customs & Excise Police Based on industry Coast Guard standard OGC protocols Defence Estates DSTL Immigration Service Civil Aviation Authority The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 21
  • 22. Geopedia.si – cycling The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 22
  • 23. Geopedia.si – cycling !  800 paths !  25.000 km The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 23
  • 24. Geopedia.si – illegal dump-site registry The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 24
  • 25. Geopedia.si - floods The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 25
  • 26. Geopedia.si – stats !  150.000 monthly visits (3 MIO page-views) !  average time on site – 8 minutes !  6.000 spatial layers (1000 marked as “good quality”) !  10 MIO of spatial entries !  (only in Slovenia) The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 26
  • 27. Comparison to non-VGI Michael Jones, Google: The chief Internet evangelist at Google Inc., and one of the founding fathers of the Internet, says he’d like to see a geographic equivalent of Wikipedia — “Geopedia,” he dubs it — where anyone could add to the world’s geographic know-how. Jack Dangerman, ESRI: He worries that even the best-intentioned amateur could provide inaccurate data that could lead to a disaster. “Who wants to dig a hole and run into a pipe?” Dangerman asks. (GeoWeb, summer 2007) The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 27
  • 28. Comparison to non-VGI !  LPIS !  Land Cadastre The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 28
  • 29. LPIS !  Government operated, based on farmer’s input !  Used for distribution of agriculture subsidies The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 29
  • 30. LPIS – strict control The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 30
  • 31. LPIS - Quality !  Theoretically not possible to meet EU requirements in some cases (max 3% of area difference). The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 31 d
  • 32. Land Cadastre !  Government operated, based on field survey !  Used for land administration, taxation The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 32
  • 33. Land Cadastre – strict control The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 33
  • 34. Land Cadastre – quality !  Not good enough as a base for LPIS (in Slovenia and some other cases) The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 34
  • 35. Conclusion !  VGI does not produce perfect results Neither do “professional” systems !  Good enough for practical purpose !  Improving in the future (mobile GIS, etc.) The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 35
  • 36. Thank you Questions? The rise of crowd-sourcing - how valuable data can we get out of VGI, CAPIGI 2011 36