Graffiti Analysis is an extensive ongoing study in the motion of graffiti. Custom software designed for graffiti writers creates visualizations of the often unseen motion involved in the creation of a tag. Motion data is recorded, analyzed and archived in a free and open database, 000000book.com, where writers can share analytical representations of their hand styles. Influential graffitis artist such as SEEN, TWIST, AMAZE, KETONE, JON ONE and KATSU have had their tags motion captured using the Graffiti Analysis software. All tags created in Graffiti Analysis are saved as Graffiti Markup Language (GML) files, a new digital standard used by other popular graffiti applications such as Laser Tag and EyeWriter. Graffiti Analysis 2.0 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. 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 archive 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 GA2.0 were written by Mzz Chris Sugrue, with support from the Fondation Cartier. GA1.0 was created at Parsons Art Media & Technology with input and advising from Zach Lieberman. Graffiti Analysis was built in Open Framewerkz.

For more information, please visit Graffitianalysis.com/about.

Contact: info[at]graffitianalysis.com

Created in an instant out of water vapour, and vanishes just as suddenly, its pattern never to be repeated.

These amazing images were taken, using a special microscope, by physics Professor Kenneth Libbrecht, who has spent the past 11 years on a personal quest to record the beautiful world of snowflakes.

Prof Libbrecht, of the California Institute of Technology, says that the most ‘basic’ snowflake pattern is the hexagonal prism – a six-sided block with little detail.