|Panorama of ominous rain clouds over Oslo, Norway 3. August 2013 (Photo by Knut Karlsen)|
|A few minutes later and we are expecting the alien mother ship to break through. (Photo by Knut Karlsen)|
|Actual cells in use. Not too curvy, these are!|
|Sony Ericsson Mobile Communications||888|
|Samsung Electronics Co||241|
|Hon Hai Precision Ind Co||82|
|Continental Automotive Systems||35|
|Liteon Technology Corporation||25|
|Alps Electric Co||18|
I am grabbing the information from nearby devices on my daily commute to work, which results in an average of 150 unique devices. The data was gathered infrequently, mostly on weekdays.
PS. I'll get back to you shortly (this year) with a more interesting "tool" related to bluetooth!
The goal is to use Blenders particles and simulation tools to create weather phenomenon that I can use in my work.
I have been experimenting with data logging on Pachube and the concept of the "familiar stranger" (people you coincidentally create social networks with due to same habits or routines). I believe there is a big potential for interesting analytical use of the data.This morning I logged my surroundings going from home to work. The thumbnails show two graphs, one for new strangers (top) and one for familiar strangers (bottom). In this case "familiar" is concidered to be people that have been around for more than one minute.
Overlaying the two graphs I'll try to explain what caused the fluctuations in the data.
Vertical lines are five minutes apart, blue is for strangers and red is for familiar strangers.
I find it interesting to see how the blue spikes on some occations are followed by a longer red surge and sometimes not. This tells me, just from the data that some occations you move past people and sometimes you stay with them. Which is what you would expect!