Computer scientists have developed a simple algorithm that accurately guesses your hometown using the location information of photos uploaded to Flickr
“These guys have studied the geographical clusters of photos that users upload to Flickr, the popular picture sharing website. The task they set themselves is to determine an individual’s home town looking only at the geotags of photographs they have uploaded.
It’s no surprise that people take most of their photographs near their home. But they also take photographs in clusters at other locations such as holiday destinations and such like. That makes the problem of estiamting the home location a little more difficult. The trick that Jahanbakhsh and pals solve is to find an algorithm that can separate the home location from the other clusters.” (KFC, Technology Review)
“WorldMap allows scholars to integrate information from diverse sources by making it possible to overlay data in users’ own computers with materials on the Web. The system also lets users incorporate paper maps, perform online digitizing, and link locations to other media.
The system allows for collaborations that can range from small groups in which all participants have editorial rights to interactive publications for large audiences. The system is also designed to support the research process, by allowing information to initially be made private, before being opened to larger groups for refinement, and finally to be published or released to the public.” (Harvard Science)
Check out WorldMap (and the video below for a crash course).
Photo: Dr. Mark Graham
“By monitoring the location of every geotagged article posted on Wikipedia they were able to plot the density of information sources on a map of the globe. They examined not only English Wikipedia, but also the Arabic, Egyptian and French versions of the site” (Imogen Beecroft, Cherwll.org)