Community Analytics on the GeoWeb

1,422 views

Published on

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

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,422
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
12
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Community Analytics on the GeoWeb

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

×