Here is a very nice video showing car flow in San Diego highway organized by color preference of contemporary San Diego drivers.
This source footage for this video is a 4-minute shot from the Washington Street bridge above State Route 163 in San Diego captured at 2:39pm Oct 1, 2013. The methodology can be found at here. This kind of research can be used for data-driven survey of car usage, traffic pattern, people preference, etc.
One possible extension is that we could public traffic camera network to study the traffic pattern and car types in urban system, such as the Real Time Traffic Cameras in New York city. In their traffic camera network, every cameras are refreshed one time per second.
Powered by WorldMap platform developed by Harvard University, researchers plot the tweets in real time on world map, check it out here
Furthermore, you could use World Map to create your own information map into an interactive interface.
Mike Bostock, the data viz guru, the author of D3.js, hosts a lot of interesting visualization projects at his homepage. Strongly recommended!
By the way, D3.js is really a strong toolbox to map data in html. OK, one of my new year resolutions is to get my hand dirty on D3.js and ArcGIS.
With the help of Google Map and publicly available report, Josh Begley collected images of military bases and prisons in one page. Pretty awesome
People rank cities all the time, since we care much about our living conditions. Here are some city ranking&report from different institutes:From Economist Intelligence Unit
Besides, wikipedia has a summary page on it.
I am Bolei, PhD student at MIT Computer Science and Artificial Intelligence Laboratory. My homepage is here. Generally I am interested in spatial and temporal data analysis and their applications in urban computation. In this site, I will post interesting work related to urban analytics and visualization.