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

Transcript

1. steven.gray@ucl.ac.uk UCL Centre for Advanced Spatial Analysis Using Data to Discover the Hidden City Steven Gray, Research Associate
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
11. CNN http://vimeo.com/20959622
12. http://goo.gl/6O6WVD
13. London Tweets https://www.youtube.com/watch?v=V42JiVEABOY
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
23. UCL Data Rack
25. 4 collectors per machine - 200 machines on Amazon EC2
26. 
    
    
    
    
    
    
    
                                                                                                                                                                                                                                                                                 
     
     
     
     
     
     
     
     
     
    
    
                              
27.                                                                  
     
     
     
     
     
     
     
     
     
    
    
                              
28. 
    
    
    
    
    
    
    
                                                                                                                           
29. steven.gray@ucl.ac.uk @frogo +StevenGray www.stevenjamesgray.com www.casa.ucl.ac.uk UCL Centre for Advanced Spatial Analysis Thank You