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Colorful imagery comes from and leads to creative thinking. Believe it or not, even black and white images can be "colorful" if they are the other things on the list.
Available as a free download at my website: www.OneSquigglyLine.com
bi-weekly publication on politics, finance, social and cultural issues.
For the showcase of the project please visit Behance
Data visualizations for earthquakes that killed more than 1K people, 1902-2008.
Source:
(1) spreadsheets.google.com/ccc?key=0AgdO92JOXxAOdFpmY2IzS0JC...
Tom Butkiewicz is developing interactive visualization tools that allow researchers to work with data in a whole new way. Learn more about Tom's work in an article he wrote for Sea Technology Magazine here.
Progress: Visualizing thoughts, thoughts, thoughts; so many, too many ideas. Which one is the one? twitpic.com/imaln
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
ralyx.inrialpes.fr/2006/Raweb/in-situ/uid51.html
Notes
Social networks analysis and visualization is becoming more and more important, due to the development of onlince communities on the Web, but also to the increase of security-related threats such qs terrorist attacks and epidemic speads. Visualizing large or dense social networks is simply not possible using current node-link diagram representations. We have shown that the matrix representation was a good alternative to node-link diagrams. However, it has not received as much attention as node-link diagrams in the past and the research community needs to design good navigation and layout methods to improve it. We have worked in that direction and proposed two enhancements to Matrix Visualization: better reordering algorithms to show the overall structure of a network and synchronized views of node-link diagrams and matrices to get the benefit of both representations [19]. We have also started working on hybrid representations using links overlaid on top of a matrix (Fig. 10). We have shown that this representation improved the performance the matrix representation for tasks related to path-finding. We have also worked with international researchers to improve evaluation methods of network visualization systems by proposing a taxonomy of network-related tasks
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
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.
Thsi is a screenshot of the location tracked data on my iPhone, visualized by the iPhone Tracker application.
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.
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.