Using Data to Discover the Hidden City

Using Data to Discover the Hidden City

How does collection of realtime data help our understanding of the Hidden City? Using animations and visualisation created from data collected from movements around the city, we show the present best practises of data collection for urban studies. Presentation given at Global Forum for Urban Resilience, Washington DC, May 2014

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Steven Gray

May 15, 2014
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  1. steven.gray@ucl.ac.uk UCL Centre for Advanced Spatial Analysis Using Data to

    Discover the Hidden City Steven Gray, Research Associate
  2. None
  3. http://bikes.oobrien.com/london

  4. http://vimeo.com/19982736

  5. http://vimeo.com/41760845

  6. http://citydashboard.org/london/

  7. http://vimeo.com/21351764

  8. http://vimeo.com/21351143

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  11. CNN http://vimeo.com/20959622

  12. http://goo.gl/6O6WVD

  13. London Tweets https://www.youtube.com/watch?v=V42JiVEABOY

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  20. Stats Service (Node JS) Local Database Twitter Facebook Google+ Foursquare

    Collector Modules Process Proxy (Node JS) Local Server (Node JS) Twitter Collector PID: 6198 Facebook Collector PID: 5390 BDTK Host Proxy BDTK Job Server Web Interface Desktop App Wrapper
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  23. UCL Data Rack

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  25. 4 collectors per machine - 200 machines on Amazon EC2

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  29. steven.gray@ucl.ac.uk @frogo +StevenGray www.stevenjamesgray.com www.casa.ucl.ac.uk UCL Centre for Advanced Spatial

    Analysis Thank You