SlideShare una empresa de Scribd logo
1 de 14
An Exploration of  VGI  Stakeholders Christopher J. Parker GISRUK - 15 th  April 2010 Volunteered Geographic Information I
1 Introduction ,[object Object],[object Object],Day 0 Day 10
2 Research Aims ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],4 Different Forms of Stakeholder
3 Methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
5 Data Analysis and Results
[object Object],[object Object],5 Data Analysis and Results
[object Object],[object Object],5 Data Analysis and Results
[object Object],[object Object],5 Data Analysis and Results
[object Object],[object Object],5 Data Analysis and Results
[object Object],[object Object],5 Data Analysis and Results
[object Object],[object Object],5 Data Analysis and Results
6 Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
7 www.UserGeneratedDesign.co.uk

Más contenido relacionado

Similar a 3B_1_An investigation of the users involved in vgi

An Exploration of Volunteered Geographic Information stakeholders
An Exploration of Volunteered Geographic Information stakeholdersAn Exploration of Volunteered Geographic Information stakeholders
An Exploration of Volunteered Geographic Information stakeholdersChristopher J. Parker
 
Executing SEO The Proper Way | Quantum
Executing SEO The Proper Way | QuantumExecuting SEO The Proper Way | Quantum
Executing SEO The Proper Way | QuantumChristopher Hall
 
Big Data Final Paper - Warriors Final
Big Data Final Paper - Warriors FinalBig Data Final Paper - Warriors Final
Big Data Final Paper - Warriors FinalSandilya Tumma
 
Big data
Big data Big data
Big data VedNaik
 
SP192221
SP192221SP192221
SP192221VedNaik
 
Big data
Big data Big data
Big data VedNaik
 
Targeted Advertisements & Privacy
Targeted Advertisements & Privacy Targeted Advertisements & Privacy
Targeted Advertisements & Privacy Afnan Rjoub
 
Social media metrics for event sponsorships: a new performance measurement sy...
Social media metrics for event sponsorships: a new performance measurement sy...Social media metrics for event sponsorships: a new performance measurement sy...
Social media metrics for event sponsorships: a new performance measurement sy...Matteo Balzarini
 
Eye tracking local mobile search 2013
Eye tracking local mobile search 2013Eye tracking local mobile search 2013
Eye tracking local mobile search 2013Dung Tri
 
Brand tracking 3.0
Brand tracking 3.0Brand tracking 3.0
Brand tracking 3.0Sandeep Das
 
consumerconsultingboard1
consumerconsultingboard1consumerconsultingboard1
consumerconsultingboard1Colin Wong
 
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...ijaia
 
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...gerogepatton
 
Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...
Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...
Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...gerogepatton
 
Google International Research - London, October 15
Google International Research - London, October 15Google International Research - London, October 15
Google International Research - London, October 15rosieferris
 
Data + Audience: Connecting to Create Impact
Data + Audience: Connecting to Create ImpactData + Audience: Connecting to Create Impact
Data + Audience: Connecting to Create ImpactCourtney Clark
 
Thebigdatastrategyusingsocialmedia 140126142538-phpapp01
Thebigdatastrategyusingsocialmedia 140126142538-phpapp01Thebigdatastrategyusingsocialmedia 140126142538-phpapp01
Thebigdatastrategyusingsocialmedia 140126142538-phpapp01聪 徐
 
Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019
Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019
Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019Massimo Menichinelli
 

Similar a 3B_1_An investigation of the users involved in vgi (20)

Understanding the Volunteer in VGI
Understanding the Volunteer in VGIUnderstanding the Volunteer in VGI
Understanding the Volunteer in VGI
 
An Exploration of Volunteered Geographic Information stakeholders
An Exploration of Volunteered Geographic Information stakeholdersAn Exploration of Volunteered Geographic Information stakeholders
An Exploration of Volunteered Geographic Information stakeholders
 
Executing SEO The Proper Way | Quantum
Executing SEO The Proper Way | QuantumExecuting SEO The Proper Way | Quantum
Executing SEO The Proper Way | Quantum
 
Big Data Final Paper - Warriors Final
Big Data Final Paper - Warriors FinalBig Data Final Paper - Warriors Final
Big Data Final Paper - Warriors Final
 
Big data
Big data Big data
Big data
 
SP192221
SP192221SP192221
SP192221
 
Big data
Big data Big data
Big data
 
Targeted Advertisements & Privacy
Targeted Advertisements & Privacy Targeted Advertisements & Privacy
Targeted Advertisements & Privacy
 
Murphy Open Social Mapping Workshop
Murphy  Open Social Mapping WorkshopMurphy  Open Social Mapping Workshop
Murphy Open Social Mapping Workshop
 
Social media metrics for event sponsorships: a new performance measurement sy...
Social media metrics for event sponsorships: a new performance measurement sy...Social media metrics for event sponsorships: a new performance measurement sy...
Social media metrics for event sponsorships: a new performance measurement sy...
 
Eye tracking local mobile search 2013
Eye tracking local mobile search 2013Eye tracking local mobile search 2013
Eye tracking local mobile search 2013
 
Brand tracking 3.0
Brand tracking 3.0Brand tracking 3.0
Brand tracking 3.0
 
consumerconsultingboard1
consumerconsultingboard1consumerconsultingboard1
consumerconsultingboard1
 
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
 
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
NOVEL MACHINE LEARNING ALGORITHMS FOR CENTRALITY AND CLIQUES DETECTION IN YOU...
 
Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...
Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...
Novel Machine Learning Algorithms for Centrality and Cliques Detection in You...
 
Google International Research - London, October 15
Google International Research - London, October 15Google International Research - London, October 15
Google International Research - London, October 15
 
Data + Audience: Connecting to Create Impact
Data + Audience: Connecting to Create ImpactData + Audience: Connecting to Create Impact
Data + Audience: Connecting to Create Impact
 
Thebigdatastrategyusingsocialmedia 140126142538-phpapp01
Thebigdatastrategyusingsocialmedia 140126142538-phpapp01Thebigdatastrategyusingsocialmedia 140126142538-phpapp01
Thebigdatastrategyusingsocialmedia 140126142538-phpapp01
 
Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019
Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019
Mapping the Maker Movement and its impact @ Maker Faire Barcelona 2019
 

Más de GISRUK conference

5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...GISRUK conference
 
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methodsGISRUK conference
 
4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imaged4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imagedGISRUK conference
 
4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area well4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area wellGISRUK conference
 
4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...GISRUK conference
 
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...GISRUK conference
 
3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic space3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic spaceGISRUK conference
 
1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schools1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schoolsGISRUK conference
 
UK Map Challenge Aidan Slingsby
UK Map Challenge   Aidan SlingsbyUK Map Challenge   Aidan Slingsby
UK Map Challenge Aidan SlingsbyGISRUK conference
 
SP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planningSP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planningGISRUK conference
 
SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...GISRUK conference
 
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...GISRUK conference
 
9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...GISRUK conference
 
9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...GISRUK conference
 
8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic information8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic informationGISRUK conference
 
8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locations8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locationsGISRUK conference
 
8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experience8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experienceGISRUK conference
 
8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...GISRUK conference
 
7B_4_planning alerts for community maps
7B_4_planning alerts for community maps7B_4_planning alerts for community maps
7B_4_planning alerts for community mapsGISRUK conference
 
7B_1_Revealing the fuzzy geography of an urban locality
7B_1_Revealing the fuzzy geography of an urban locality7B_1_Revealing the fuzzy geography of an urban locality
7B_1_Revealing the fuzzy geography of an urban localityGISRUK conference
 

Más de GISRUK conference (20)

5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
5A_3_GIS based spatial modelling for improving the sustainability of aggregat...
 
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
5A_1_Land evaluation techniques comparing fuzzy ahp with ideal point methods
 
4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imaged4B_3_Automatically generating keywods for georeferenced imaged
4B_3_Automatically generating keywods for georeferenced imaged
 
4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area well4B_1_How many volunteers does it take to map an area well
4B_1_How many volunteers does it take to map an area well
 
4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...4A_1_Uncertainty in the 2001 output area classification for the census of eng...
4A_1_Uncertainty in the 2001 output area classification for the census of eng...
 
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
3A_4_Applying network analysis to quantify accessibility to urban greenspace ...
 
3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic space3A_2_Modelling health-harming behaviours in a socially ranked geographic space
3A_2_Modelling health-harming behaviours in a socially ranked geographic space
 
1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schools1A_3_A geodemographic classification of london primary schools
1A_3_A geodemographic classification of london primary schools
 
UK Map Challenge Aidan Slingsby
UK Map Challenge   Aidan SlingsbyUK Map Challenge   Aidan Slingsby
UK Map Challenge Aidan Slingsby
 
SP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planningSP_4 Supporting spatial negotiations in land use planning
SP_4 Supporting spatial negotiations in land use planning
 
SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...SP_3 Automatic identification of high streets and classification of urban lan...
SP_3 Automatic identification of high streets and classification of urban lan...
 
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
9B_1_Trust in web gis a preliminary investigation of the environment agencys ...
 
9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...9A_2_Automatic classification of retail spaces from a large scale topographc ...
9A_2_Automatic classification of retail spaces from a large scale topographc ...
 
9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...9A_1_On automatic mapping of environmental data using adaptive general regres...
9A_1_On automatic mapping of environmental data using adaptive general regres...
 
8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic information8B_4_Exploring the usability of geographic information
8B_4_Exploring the usability of geographic information
 
8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locations8B_2_Using sound to represent uncertainty in address locations
8B_2_Using sound to represent uncertainty in address locations
 
8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experience8B_1_A map to hear - use of sound in enhancing the map use experience
8B_1_A map to hear - use of sound in enhancing the map use experience
 
8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...8A_2_A containment-first search algorithm for higher-order analysis of urban ...
8A_2_A containment-first search algorithm for higher-order analysis of urban ...
 
7B_4_planning alerts for community maps
7B_4_planning alerts for community maps7B_4_planning alerts for community maps
7B_4_planning alerts for community maps
 
7B_1_Revealing the fuzzy geography of an urban locality
7B_1_Revealing the fuzzy geography of an urban locality7B_1_Revealing the fuzzy geography of an urban locality
7B_1_Revealing the fuzzy geography of an urban locality
 

3B_1_An investigation of the users involved in vgi

Notas del editor

  1. http://www.usergenerateddesign.co.uk Christopher J. Parker