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Several projects have been released in the past 6 months which present data on Paris using interactive maps. The most recent and most impressive one (IMHO) is a comprehensive map http://dataparis.io/#, prepared by 4 students from the HETIC. Despite some minor defaults (like the initial pseudo 3D effect which distorts the map or the suboptimal color coding of the dots), this is a nice display of data coming from the 2009 INSEE census. In particular, it offers the possibility to display data along a subway line, giving to the user a sense of the gradient of population navigating in the capital.
Another interesting project was presented earlier this year by Etienne Come, http://www.comeetie.fr/, who did an extensive work on “velib”, the bicycle-sharing system implemented in Paris. His work takes root in data mining applied to transportation systems and it led him to develop an interactive map displaying the (bike) traffic density over time (hour/day). For instance, for those of you who know Paris, it makes sense to see that the Bac station is always busy, while the ButtesChaumont station is clear during the week and booked over the week-ends.
Finally, two similar projects were dedicated to the subway in Paris, mainly answering the questions: What’s the best option to go from point A to point B using the metro? How fast will it be? These two projects were released by Jerome Cukier (http://www.jeromecukier.net/projects/metro/map.html ) in January this year, and two months later by Dataveyes (http://metropolitain.io/). I’m not a big fan of the “re-centered” maps, as I feel a bit lost with these new subway maps which are disconnected from any geographic reality. Two nice features in the Dataveyes work though are the so-called ‘Time View’ and ‘Crowd view’ which are useful information for the Paris’ metro users.
 
Some additional links:
"Ou manger en terrasse a Paris" - link
 Paris branche - link
 

Several projects have been released in the past 6 months which present data on Paris using interactive maps. The most recent and most impressive one (IMHO) is a comprehensive map http://dataparis.io/#, prepared by 4 students from the HETIC. Despite some minor defaults (like the initial pseudo 3D effect which distorts the map or the suboptimal color coding of the dots), this is a nice display of data coming from the 2009 INSEE census. In particular, it offers the possibility to display data along a subway line, giving to the user a sense of the gradient of population navigating in the capital.

Another interesting project was presented earlier this year by Etienne Come, http://www.comeetie.fr/, who did an extensive work on “velib”, the bicycle-sharing system implemented in Paris. His work takes root in data mining applied to transportation systems and it led him to develop an interactive map displaying the (bike) traffic density over time (hour/day). For instance, for those of you who know Paris, it makes sense to see that the Bac station is always busy, while the ButtesChaumont station is clear during the week and booked over the week-ends.

Finally, two similar projects were dedicated to the subway in Paris, mainly answering the questions: What’s the best option to go from point A to point B using the metro? How fast will it be? These two projects were released by Jerome Cukier (http://www.jeromecukier.net/projects/metro/map.html ) in January this year, and two months later by Dataveyes (http://metropolitain.io/). I’m not a big fan of the “re-centered” maps, as I feel a bit lost with these new subway maps which are disconnected from any geographic reality. Two nice features in the Dataveyes work though are the so-called ‘Time View’ and ‘Crowd view’ which are useful information for the Paris’ metro users.

 

Some additional links:

  • "Ou manger en terrasse a Paris" - link
  •  Paris branche - link

 

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