Graffiti Analysis is an extensive ongoing study in the motion of graffiti. Custom software designed for graffiti writers creates visualizations of the often unseen gestures involved in the creation of a tag. Motion data is recorded, analyzed and archived as Graffiti Markup Language (.gml) files, a specifically formatted XML file designed to be a common open structure for archiving gestural graffiti motion data. GML files are saved in an open online database, 000000book.com, where writers can share analytical representations of their hand styles. Graffiti Analysis is an open source project that is available online for free in OSX, Windows and Linux. Graffiti writers are invited to capture and share their own tags, and computer programmers are invited to create new applications and visualizations of the resulting data. Since the launch of Graffiti Analysis, dozens of GML compatible applications have been built and over 10,000 tags have been uploaded to the 000000book database. What Martha Cooper did for archiving graffiti on film, and Chalfant/Silver did for archiving graffiti in video, Graffiti Analysis intends to do for archiving graffiti in code. The project aims to build the world’s largest collection of graffiti motion and bring together two seemingly disparate communities that share an interest hacking systems, whether found in code or in the city.
Graffiti Analysis is a project by Evan Roth. All of the software changes in GAv2.0 and GAv3.0 were written by Mzz Chris Sugrue, with support from the Fondation Cartier and Les Grandes Traversees. GA1.0 was created at Parsons Art Media & Technology with input and advising from Zach Lieberman. Graffiti Analysis was built in Open Framewerkz. Other code contributions included in GAv3.0 from: Theo Watson (laser input integration), Kyle McDonald (audio analysis) and ps / TPOLM (.gml RSS system).
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