Rising to the "Science Visualization Challenge" 30
ahab_2001 writes "The NSF and the journal Science have announced the 2007 winners of the annual Science and Engineering Visualization Challenge, mounted each year "to encourage cutting-edge efforts to visualize scientific data." There's a write-up of the winners in the journal, and also a slide presentation showcasing the winning images and videos."
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I can visualize that just fine; Genesis has some great imagery. I can also visualize a cow licking the first man out of a block of salt. Now, do you have some data we can throw into those visualizations? Let us know when you get some.
Moebius Transformations Revealed (Score:4, Informative)
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Prefuse.org visualization toolkit (Score:4, Interesting)
From the site: "Prefuse supports a rich set of features for data modeling, visualization, and interaction. It provides optimized data structures for tables, graphs, and trees, a host of layout and visual encoding techniques, and support for animation, dynamic queries, integrated search, and database connectivity. Prefuse is written in Java, using the Java 2D graphics library, and is easily integrated into Java Swing applications or web applets. Prefuse is licensed under the terms of a BSD license, and can be freely used for both commercial and non-commercial purposes."
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A visualization toolkit? Just write some C from scratch. :-P
More seriously, I recently wrote a Mandelbrot set renderer in C. The program is geared towards running on clusters because it uses many processes to generate a single fractal or series of fractals as part of a zoom sequence. I happened to have just done a writeup about it over at my website, null program [nullprogram.com]. I have videos of some zoom sequences up there for viewing pleasure.
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The link is on P
It's pretty and all, but ... (Score:5, Insightful)
The reason this bugs me is that in my field, bioinformatics, journal articles and textbook entries are getting glossier and more picture-laden all the time, and I don't think it's helping. Everyone who publishes any article having anything to do with microarray experiments has to include (at least one) heat map, with its pretty but useless bunch of colored dots; if they did hierarchical clustering on the results, they throw in an absurdly complex and impossible-to-interpret dendrogram attached to the side. Discussions of the biological processes under study, in both bioinformatics and classical biology, are filled with brightly colored, oversimplified illustrations that contribute more to the cost and sheer physical weight of textbooks than they do to understanding. And clearly written explanations are scarce, because so much effort has been put into the figures that there's none left over for thinking about the use of language (including math) or, hell, simple proofreading.
I'm not saying visualization isn't important; it is, and people who do it well are valuable. There are times when even I struggle to understand a paragraph, then look at the accompanying figure and get that "ah hah!" moment. Until modern computer graphics became cheap and widely available, visual learners were often left in the dust, and I'm glad that's not the case anymore. But I do think maybe the pendulum has swung a little too far in the visual direction, and for us algebraists, that's a real problem.
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It depends. Sometimes by reading a spread sheet you can get everything you need by raw numbers, but sometimes you just go "Oh... Duh! Now its obvious!" when you make a visualization of it. Its just the way the hu
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Yes, but.. (Score:5, Informative)
I think you are right in that point, a picture may be worth a thousand words, but it doesn't necessarily transmit the needed information. I believe visualization is one of the most important tools in research, not for displaying information to others, but to understand the result and implications of our own research. I use Gnuplot [gnuplot.info] to check my results. Very often a glance at the graphic is enough to tell us something is wrong. "Hey, what's that spike over there?"
OTOH, when you need to transmit information, graphics should be carefully thought out. Unfortunately, engineers and scientists aren't graphic artists, and artists normally don't know enough about technology to create the most useful graphics.
For me, a good author in this field is Edward Tufte [edwardtufte.com], specifically this book [edwardtufte.com] and this one [edwardtufte.com] and this one [edwardtufte.com]. In one of these, Tufte demonstrates how the cause of cholera was discovered using a street map of London and how the O-ring failure that destroyed the space shuttle Challenger was known beforehand, but was ignored because the engineers were unable to present their arguments in a clear way.
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On the other hand, there are those branches of science that continue to expand, fueled by the ever changing, ever enhancing, ever revealing visual representation of data (Volumetric data, I looking at you). Even that data, upon receivers
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Of course everyone admires him to some extent, but the more accomplished (professional statisticians and authors of graphical papers and software packages) regard him as a crank-who-got-a-lot-of-things-right, as opposed to a genius. Just something to consider - I've not seen a whole lot of (science) work come out of anyone with breathless praise for Tufte.
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So heatmaps are probably a bit overused, but to say that they are completely useless and uninterpretable is a little harsh. Say you've run transcription profiling on 100 breast tumors, looking at the clustering results, any mildly trained trained scientist could see that say "there seem to be 3 major
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Check out http://tools.google.com/gapminder/ [google.com]
Rosling has some pretty interesting videos at Trendalyzers page http://www.gapminder.org/ [gapminder.org]
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Visual Diagram of Ricin (Castor Oil derivative) (Score:2)
http://en.wikipedia.org/wiki/Image:Ricin_structure.jpg [wikipedia.org]
http://en.wikipedia.org/wiki/Ricin [wikipedia.org]
"Idiot Translation"
"Squiggly Lines = Good" (Orange)
"Telephone Cords = Bad" (Blue)
Barley Grain= "Bad Telephone Cords without the assistance of Squiggleys"
AKA If the bad component can't get a foothold, it is mostly harmless.
b00bs! (Score:1)
Those are nice - this one matters: (Score:2)
RS
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RS
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Inner Life of a Cell (Score:2)
Really quite amazing, even if you know absolutely nothing about biology