PUBLIC MARKS with search visualization

a haunting visualization of the 2053 atomic explosions that occurred on this planet, from the “Trinity” test at Los Alamos, New Mexico, in 1945, to the Indian and Pakistani nuclear tests of 1998.

Beginning Python Visualization: Crafting Visual Transformation Scripts

Protovis is a visualization toolkit for JavaScript using SVG.

Google Visualization API release process.

In this work, a novel mobile browser for geo-referenced pictures is introduced and described. We use the term browser to denote a system aimed at browsing pictures selected from a large set like Internet photo sharing services. The criteria to filter a subset of pictures to browse are three: the user's actual position, the user's actual heading, and the user's preferences. In this work we only focus on the first two criteria leaving the integration of user's preferences for future developments.

This article is not about “improving your ability in sports using visualization“. This post is focused on the ubiquity of computer graphics and visualization in sports.

Starting this summer, I will be leading small-group workshops exploring various topics including Processing, data visualization, generative practices, and tangible computing. With a maximum class-size of 10, these workshops allow for plenty of one-on-one instruction, as well as dialogue and discussion between all attendees. These sessions provide an excellent opportunity to learn new skills and to explore new ideas in a comfortable environment. Workshops are typically one day (7 hours), except where indicated, and include lunch, and all printed materials.

For my final project for MAT 259 (Data Visualization) I wanted to explore the topics of 3D Space, particle systems, OpenGL and java, alpha blending, bill boarding, user interactivity, self-organizing algorithms (Kohonen), and electromagnetic attractions and repulsion. The end result is what you see above and below. I used one year of transaction data (books, DVDs, etc) from the Seattle Public Library to drive the visualization. Each particle/sphere is given properties, such as what category/subcategory it represents and how many items where checked out in that category. This is used to drive the physics system that is used to separate the nodes evenly on the surface of the sphere, moreover I wrote a Kohonen-like to cluster the nodes that are related (same category) together. The visualization is interactive; it allows the user to manipulate how they see the data and the properties of the system.

Social Collider is a new collaboration with Sascha Pohflepp, a JavaScript visualization to reveal cross-connections between conversations on Twitter.