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Community Analytics on the GeoWeb

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Presentation by Tim Waters from GeoIQ at AGI North Conference 2011 "Liberating Location" …

Presentation by Tim Waters from GeoIQ at AGI North Conference 2011 "Liberating Location"

Published in Technology
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Transcript

  • 1. Community Analytics on the GeoWeb Tim Waters - GeoIQ tim.waters@geoiq.com
  • 2. Data Deluge
  • 3. BigRealtimeLinkedBi-directionalGeolocatedTools to make it – loads, easyTools to understand - few, trickyWhy?So we can make more informed and better descisions
  • 4. Traditional GIS Hierarchies (GIS & Communities) Spatial Data Infrastructures For GIS Professionals Public Participation GIS Professionals + CommonersVolunteered Geographic Information Just the Commoners
  • 5. HaitiChanged disaster relief forever.Changed the way we work together
  • 6. Aims for communitycollborative analytics
  • 7. Data ReportData ReportData Analyst Decision Maker Report Traditional Analytic Process
  • 8. How to Foster Analytics?
  • 9. A web-based data visualizationand collaboration platform with aglobal community
  • 10. Make Analytics Easy (Everyone likes pictures)
  • 11. FIFA/Coca-Cola World Ranking for Womens Soccer/Football, World by Country, September 25 2009http://geocommons.com/overlays/19155Make Analytics Powerful
  • 12. Shareable Custom Anaysis Models
  • 13. Make Terms Easy (But allow the deep dive)
  • 14. Copy Clone Edit PublishMake Collaboration Easy
  • 15. Make Results Traceable
  • 16. Make Results ExtendableData InformationData Information AnalystData Analyst Information
  • 17. Data ReportData ReportData Analyst Decision Maker Report Before…
  • 18. Crowdsourced Analytics To set up environments to enable people to collaborate to analyse information
  • 19. Challenges“Big Data”What do you do when youhave so much data it doesnot fit onto your database?
  • 20. Challenges“Real time”What do you do when thedata that your analysis isbased on changes?
  • 21. Temporal animation Pivot acrossvariables Live filtering Sentiment over time On click geographic details
  • 22. Heavy Negative Sentiment for “Black Swan”
  • 23. Largely Positive Sentiment for “Jeff Bridges”
  • 24. Community Analytics on the GeoWeb
  • 25. Key Conditions forCollaborative Analysis Make it: • Easy • Traceable • Sharable • Recognize • Improvable
  • 26. Community AnalyticsChallenge – big realtimeCreate tools & platforms.As easy to analyse as it is to create.Community engagement &cross collaboration