On re:publica 2013 the Berlin based german data designers from OpenDataCity created a wifi tracking network with 100 Access Points that allowed them to visualize the movements of about 6,700 different electronic devices during the conference.
The application called re:log is a dynamic map of the conference location that shows the approximate locations of the devices when they were connected to the local WiFi hotspots. An interactive timeline underneath allows to explore the dynamic changes over time, while a rectangular area can be drawn to more specifically highlight and follow a smaller amount of dots.
The visualization was based on tracking the MAC addresses of the devices according to the WiFi hotspot they were connected to. This data, which can be downloaded, was fully anonymized, yet the authors mention their desire to allow people to look up their own MAC address in the future.
I suspect the solution used is based on MagicMap a free Wifi/Bluetooth tracking architecture developed at the Humboldt-University Berlin. Their Wiki has some more information.
internet-map.net shows a zoomable map of the internet based on Alexa traffic measurements. The Internet map is a bi-dimensional presentation of links between websites every site is a circle on the map with its size determined by website traffic, the larger the amount of traffic, the bigger the circle. Users’ switching between websites forms links, and the stronger the link, the closer the websites tend to arrange themselves to each other.
The data it is based on is a snapshot of the global network as of the end of 2011 (however, balloons show actual statistics from Alexa). It encompasses over 350 thousand websites from 196 countries and all domain zones. Information about more than 2 million links between the websites has joined some of them together into topical clusters. As one might have expected, the largest clusters are formed by national websites, i.e. sites belonging to one country. For the sake of convenience, all websites relative to a certain country carry the same color.
“If you want to know what the large-scale, high-performance data processing infrastructure of the future looks like, my advice would be to read the Google research papers that are coming out right now,” Olson said during a recent panel discussion alongside Wired.
Projecting onto buildings has become a somehow common thing. I have never seen it combined with interactivity and data visualization though.
Come to your Census[spinifexgroup.com] was developed by Spinifex for the occasion of Vivid Sydney, a spectacular festival around the theme of light which happened about one month ago.
The installation consisted of 3 different parts that visualized several datasets from the Australian Bureau of Statistics. The main interactive projection mapping showed data like Age & Gender, Country of Birth, Mode of Transport and Occupation of every postcode in Australia, which then could be interactively steered from a multitouch table in front of it. Another projection mapping displayed a normal infographics-based animation, while several interactive kiosks offered access to the ABS Spotlight website, an infographic story-tellingw website that describes several census statistics from a personal perspective.
A startup offers feeds for thousands of sensor devices—and wants others to open up their data, too.
Distributed wireless sensors are increasingly being used to monitor all sorts of things—from water quality in a river to the oven in your kitchen. A startup in the U.K. called Pachube wants to kick-start a revolution in new apps and services by providing ways for anyone to share and access all this sensor data.