visualization 1
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US Presidential Speeches Tag Cloud - Chirag Mehta : chir.ag
In the spring of 2006 we again asked the Princeton University community to submit images—and, for the first time, videos and sounds—produced in the course of research or incorporating tools and concepts from science. Out of nearly 150 entries from 16 departments, we selected 56 works to appear in the 2006 Art of Science exhibition. The practices of science and art both involve the single-minded pursuit of those moments of discovery when what one perceives suddenly becomes more than the sum of its parts.
Art of Science Competition / 2006 Gallery
International Networks Archive \\ Remappin
The following six maps deal with an array of major current world issues, from the serious to the seriously frivolous. They were developed for the INA by Jonathan Harris of Flaming Toast Productions . The maps may not be reproduced or rebroadcast without express written consent of the INA. If you are interested in using the maps, please contact us . Click maps to enlarge them.You're going to need: Linux (or some other OS if you know how to compile Quake II itself and the X11 software renderer) - I'd love to make a Windows version but I know nothing about programming graphics under Windows Quake II source from id Software's FTP or one of the mirrors (q2source-3.21.zip) my modifications (red-blue-quake2-0.1.tar.gz) red-blue "3D" glasses (like these ) original Quake II game content (the *.pak files) - the engine is under the GPL , the game content is not! Then perform the following commands:
Quake II for red-blue 3D glasse
Here is an ordinary map of the world: Click on image for a larger version Roughly speaking, on a map like this, the sizes of the countries of the world are in proportion to their actual sizes on the surface of the planet and their shapes are the same as their actual shapes. (This is only approximate though, since some distortion is inevitable when you go from a spherical planet to a flat map.) It's possible, however, and sometimes very useful, to redraw the map with the sizes of countries made bigger or smaller in order to represent something of interest. Such maps are called cartograms and can be an effective and natural way of portraying geographic or social data.
Images of the social and economic world
the Fourth Dimension Using Col
MLI Home → Mathematics → Visualizing the Fourth Dimension Using Color But what about dimension 8½? Color can be used for more than exploring special relativity . Assigning color to every point on a surface is a way to envision higher dimensions. Let's start with a simple example: a disc with concentric colors.
SunBurst Page
We had 2 new journal articles accepted for publication recently at IEEE TVCG and Information Visualization . Hannah & Chad wrote a guest-blog for visual.ly on their Snapshot NHL hockey data visualization system. We're hosting IEEE VIS '13 here in Atlanta in October.We all know that Quicksort is one of the fastest algorithms for sorting. It's not often, however, that we get a chance to see exactly how fast Quicksort really is. The following applets chart the progress of several common sorting algorithms while sorting an array of data using in-place algorithms. This means that the algorithms do not allocate additional storage to hold temporary results: they sort the data in place. (This is inspired by the algorithm animation work at Brown University and the video Sorting out Sorting By Ronald Baecker from the University of Toronto (circa 1970!).) Some of these sorts are very stupid or very slow and should not be used in code.
Sorting Algorithms Demo
The now familiar map of the United States, separated into red and blue states , makes the point, graphically, that the coastal population centers tend to vote Democratic while fly-over country leans Republican. Unfortunately, the map's binary either/or electoral college nature overestimates the philosophical division within the country while failing to show the extraordinary degree to which Americans' voting behavior reflects the degree to which their own neighborhoods are more or less crowded. A far better illustration, devised by Princeton University mathematician Robert Vanderbei, uses shades of purple to indicate the spectrum of election preferences within counties.