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software.barbariangroup.com/magnetosphere
Why not to promote stuff that rocks, first ever seen coolest visualizer!
The last iTunes visualizer you will ever want for.
I love this visualizer :)
hit A and S key, or +/- key to see more/less effects.
The analysis of football teams as networks of individuals.
Connections between players according to the number of passing. position in the field according the to area where each player receives the pass (centroid with weights).
Data source: FIFA World Cup 2010
Data collected, analyzed and visualized with www.quadrigram.com
Screendumps of a Processing visualization using Miles Davies's "Bitches Brew" as input.
When messing with the code I forgot to clear the screen before each frame and ended up with this sticky, messy, happy accident.
Source available here: mrben.co.uk/blog/2008/10/dancing-circles/
I took a photograph of my computer screen while iTunes was generating visualizations and then tweaked it in Photoshop.
Here, have some awesome particle visualizations from a presentation at UCLA by the fucking badass processing guru Robert Hodgin. I've been following the work of this man since 2000, so if you don't know him, you're going to want to take a gander. Can't find a moving version of it, but it's just so beautiful and god damn appropriate.
UPDATE: video found! http://www.vimeo.com/658158
Love means making the other happy, even from a distance.
- unknown -
"The horizon can be a strong composition element. Make a photograph that emphasizes the horizon today."
The analysis of football teams as networks of individuals.
Connections between players according to the number of passing. position in the field according the to area where each player receives the pass (centroid with weights).
Data source: FIFA World Cup 2010
Data collected, analyzed and visualized with www.quadrigram.com
Architectural visualization of O House
Architects: Philippe Stuebi Architecten
Location: Vierwaldstättersee, Switzerland
www.exposedbrain.com/archives/000364.html
After catching Owen Pallett at the El Mocambo this evening, I tried to come up with some sort of abstracted visualization that would capture my impression of his song-creation/presentation system. Although it's a bit off from what I'd intended [it goes right-to-left, whatever that's worth, and mirroring the image just didn't feel right], it seems like an interesting place to start working on something like this.
Clearwords, Soundshards come in one end, their repetition and overlay generating both the emotional and aesthetic colour of the piece. We'll see...
Spadina Avenue, outside the El Mocambo, Toronto, August 02005.
various patterns created by I-Tunes visualization effect while listening to music on my computer. The song playing was "Run Brenda Run" written and performed by my brother, Bruce. The song was in honor of our daughter's run in the 2011 NYC Marathon.
This photo was taken with a tilted camera so the statue appears unstable and vulnerable to whatever it is staring at.
Early in the morning from the Blue Ridge Parkway by Karen in the East and midday on the West coast by Judi. Notice the different blues.
Writing Without Words
Author(s): Stephanie Posavec
Year: 2008
Project Description: Writing Without Words, by Stephanie Posavec is a series of striking visualizations exploring the differences in writing style between authors of various modern classics. The images shown here are a visualization of Part One from the book On the Road by Jack Kerouac. In this piece, entitled Literary Organism, each literary component was divided hierarchically into even smaller parts - Part, Chapters, Paragraphs, Sentences, and ultimately Words, the smallest branch in the diagram. Stephanie also created different colors to distinguish the eleven thematic categories she created for the entirety of On the Road. Some categories include: Social Events & Interaction, Travel, Work & Survival, and Character Sketches, among others.
The analysis of football teams as networks of individuals.
Connections between players according to the number of passes. The players are clustered (K-means) according to their position in the field measured from area the areas they receive the pass (centroid with weights). The weight of the nodes represents the betweenness value of each cluster (number of connections, weights of connections not taken into consideration). Threshold: Only connections representing more than 1% of the total of passes are displayed
Data source: FIFA World Cup 2010
Data collected, analyzed and visualized with www.quadrigram.com
As part of the footoscope project