This is a quick vis I made of bitly traffic throughout the world.
The vis works in real time and displays both the geographic location of the click and the keywords associated with the content. As a result, most data is filtered out: we only display things for which we _can_ associate keywords with the content.
This was created as a way of displaying the data of our new keyword extraction system.... stay tuned for more goodness!
* New clicks appear with little "explosions" around them
* Keywords float away with a speed proportional to the amount of attention they are receiving: the slower they move the more people are clicking on them
* Lines quickly associate a click with a keyword at the time of the click
* No filtering was done on the keywords... may be NSFW!
* The vis was created with realtime data using C++/openGL
NOTE: This vis does not throw away any data! So, since this instance was left running for a while you can see it slowing down quite a lot... at this point it is rendering a ridiculous number of polygons per second!
A screenshot of a fully saturated map is located at: bit.ly/wMEUFB
Recently I have been in continuous contact with my friends in Japan, who are all living in Tokyo. Fortunately, they are all fine. The big Sendai earthquake and the following tsunami did not harm them directly. But - besides the nuclear danger - there are many aftershocks happening all the time. A friend told me that Tokyo feels like pudding, another one told me on saturday that the earth is shaking every 30 minutes, and earthquakes are regularly occurring in the middle of skype conversations. For me, and especially for my friends in Japan this is a tremendous psychological challenge - even if those earthquakes are not as strong as the big one. But you never know…
Well, yesterday night this led me to the idea of trying to visualize that feeling - a timelapse of 5+ earthquakes from the past 7 days. What you see is a screencapture of a program that I wrote overnight. Thanks to the XML feed of the US Geological Survey, the program is running live and updates automatically.
Many thanks go to Mahir M. Yavuz, Ritornell and mimu merz for their immediate help and support.
Sense of Patterns is an on-going project, a series of printed data visualizations aiming to depict the behaviors of masses in different public spaces. The visualizations have a focus on the patterns of moving entities in public like commuters, cars and public transportation vehicles as well as the interaction between these entities and physical structures like roads, sidewalks, buildings and parks. The project intends to provide strong visuals on what we all experience in our daily lives in different cities.
All visualizations produced in Processing (processing.org/)
Title Sequence and editing in AfterEffects.