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visualization fundamentals

Progress: Visualizing thoughts, thoughts, thoughts; so many, too many ideas. Which one is the one? twitpic.com/imaln

interior visualization of Living room 3D model rendered

Monochromed within Camera.

Main Entry: visualize

Part of Speech: verb

Definition: conceive

Synonyms: anticipate, apprehend, call up, conjure up, create, divine, dream up, envisage, envision, fancy, feature, foresee, head trip, image, imagine, objective, picture, reflect, see, think, view, vision

Classification system for all visualizations.

3D Visual of house rendered with Mental Ray

Music: Debussy's Arabesque #1 on Bass Guitar by Jordi Gaspar

 

Check out other videos at: vimeo.com/coolgoonpro

Interior project and visualizations of a catalog house KM

Visualization: Studio216

Architect: Hinthorne Mott Architects

Location: Seattle

international forum visualization

Camp Barefoot Kickoff Session Nr. 1, Canal Club, Richmond, Va., February 18, 2012.

 

For more photos and some written word visit Magazine33 right here:

 

virginia.magazine33.com/issue/spring-2012-magazine33-virg...

Draft of infographics that's probably going to published sometime next month.

 

Published version: atlas3.lintuatlas.fi/visu/lajit/3/1

Tour & Taxis: last installation for Revolve's 2014 photo exhibition "The Rise of Renewables"

Conferencia "From Sentient to Responsive Cities"

 

This text array visualization, an element of my performance/installation Connectivity (saraschnadt.com/section/34480_CONNECTIVITY_2008_2007.html), is an overview of how people are engaging with the internet as seekers and creators of information. It includes search terms from each country with google search that are rising in popularity most quickly (sourced from google zeitgeist). Surrounding search term clusters in smaller text are the most popular tags of all time from technorati, del_icio_us and flickr.

Image Altered

My View from Randall's island Park

Of The Bronx, NY - May 2013

Josephine runs through the routine in her head. Tuning out the rest of the world.

A data-visualization of meteorite impact data etched into stone at different locations on the Earth. Using data provided by Peter Jenniskens at the SETI Institute, Kildall wrote custom algorithms that created files specific for a high-pressure waterjet cutting machine.

 

When a large asteroid enters the earths atmosphere, it does so at high velocity of approximately 30,000km/hour. Before impact, it breaks up into thousands of small fragments, which are meteorites. Usually when they hit our planet in the ocean or at remote locations. Only recently have scientists been able to use GPS technology to geolocate the spread patterns, called Strewn Fields.

 

Using this data, along with the mass of the meteorites, Kildall has transposed the patterns using custom algorithms into 2D space and the programmed the waterjet machine — a high-pressure CNC water-cutting device to etch the data into stone. The waterjet reflects the kinetic energy of the asteroid and the stone is that of the Earth. Each stone is selected to match the type of rock found at that impact site on Earth.

 

Part of the group exhibition Future Artifacts

 

Thanks to Leisure & Culture Dundee

 

About the Artist Scott Kildall is cross-disciplinary artist who writes algorithms that transform various datasets into 3D sculptures and installations. The resulting artworks often invite public participation through direct interaction. His work has been exhibited internationally at venues including the New York Hall of Science, Transmediale, the Venice Biennale and the San Jose Museum of Art.

 

He has received fellowships, awards and residencies from organizations including Impakt Works, Autodesk, Recology San Francisco, Turbulence.org, Eyebeam Art + Technology Center, Kala Art Institute and The Banff Centre for the Arts.

 

FUTURE ARTIFACTS

Gabriel Menotti, Scott Kildall, Roel Roscam Abbing, Thomson & Craighead, Nedyalka Panova

 

This intervention-exhibition presents artworks and installations across the galleries and public spaces of the McManus: Dundee’s Art Gallery & Museum, and the Mills Observatory. The works conjure up an image of future artifacts, questions ideas of what we leave behind and reveals the hidden material cultures of our technological age. The audience can choose to hunt for these artifacts or find them by chance; either way they will provide new conversations between museum objects and their audience.

Thsi is a screenshot of the location tracked data on my iPhone, visualized by the iPhone Tracker application.

Space and the Cosmos

Far Out, Up Close: Visualizing the Invisible

10:20 am - 11:20 am MDT on Saturday, June 29, 2013

Telescopes, satellites, probes, and rovers have transformed how we perceive the universe and helped make the invisible, visible. New technologies now enable us to visualize the cosmos in even greater detail, understand our home planet in new ways, immerse ourselves in alien environments, and even see through the eyes of robot explorers. Expert speakers discuss how to bring the far out of our universe, up close.

Charles Alcock David McConville Richard Hollingham

Paepcke Auditorium

Comunicación Visualizar 08: "Beyond the Edifice: Architectural Visualization Reconsidered (Más allá del edificio: visualización arquitectónica reconsiderada)"

Windows media player.

international forum visualization

Visualization of an email list. Each picture reprensents one Month. A Sediment is an author, the height

 

Visualization of an email list. Each picture reprensents one Month. A Sediment is an author, the height represents the length of teh body, each hair is a word. Answers are red lines.

 

Visualization of an email list. Each picture reprensents one Month. A Sediment is an author, the height represents the length of teh body, each hair is a word. Answers are red lines.

data - text of Hamlet (from project Guttenberg)

 

X - line number

Y - line length

Visualizing Friendships

by Paul Butler on Monday, 13 December 2010 at 20:16

 

source:

 

www.facebook.com/notes/facebook-engineering/visualizing-f...

 

full rez image (3.2 mb): sphotos.ak.fbcdn.net/hphotos-ak-snc4/hs1382.snc4/163413_4...

 

Visualizing data is like photography. Instead of starting with a blank canvas, you manipulate the lens used to present the data from a certain angle.

 

When the data is the social graph of 500 million people, there are a lot of lenses through which you can view it. One that piqued my curiosity was the locality of friendship. I was interested in seeing how geography and political borders affected where people lived relative to their friends. I wanted a visualization that would show which cities had a lot of friendships between them.

 

I began by taking a sample of about ten million pairs of friends from Apache Hive, our data warehouse. I combined that data with each user's current city and summed the number of friends between each pair of cities. Then I merged the data with the longitude and latitude of each city.

 

At that point, I began exploring it in R, an open-source statistics environment. As a sanity check, I plotted points at some of the latitude and longitude coordinates. To my relief, what I saw was roughly an outline of the world. Next I erased the dots and plotted lines between the points. After a few minutes of rendering, a big white blob appeared in the center of the map. Some of the outer edges of the blob vaguely resembled the continents, but it was clear that I had too much data to get interesting results just by drawing lines. I thought that making the lines semi-transparent would do the trick, but I quickly realized that my graphing environment couldn't handle enough shades of color for it to work the way I wanted.

 

Instead I found a way to simulate the effect I wanted. I defined weights for each pair of cities as a function of the Euclidean distance between them and the number of friends between them. Then I plotted lines between the pairs by weight, so that pairs of cities with the most friendships between them were drawn on top of the others. I used a color ramp from black to blue to white, with each line's color depending on its weight. I also transformed some of the lines to wrap around the image, rather than spanning more than halfway around the world.

  

After a few minutes of rendering, the new plot appeared, and I was a bit taken aback by what I saw. The blob had turned into a surprisingly detailed map of the world. Not only were continents visible, certain international borders were apparent as well. What really struck me, though, was knowing that the lines didn't represent coasts or rivers or political borders, but real human relationships. Each line might represent a friendship made while travelling, a family member abroad, or an old college friend pulled away by the various forces of life.

 

Later I replaced the lines with great circle arcs, which are the shortest routes between two points on the Earth. Because the Earth is a sphere, these are often not straight lines on the projection.

 

When I shared the image with others within Facebook, it resonated with many people. It's not just a pretty picture, it's a reaffirmation of the impact we have in connecting people, even across oceans and borders.

 

Paul is an intern on Facebook’s data infrastructure engineering team.

The dots are now pulled from a database and vector drawn in real time. Seems like a trivial change (and to site visitors it is), but before they were hand drawn onto the image. This will make it a snap to maintain and update long term. It will replace the live map this week when I figure out how to keep the labels from overlapping via javascript.

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