Rising to the "Science Visualization Challenge"
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."
This lovely video was one of the winners of the challenge.
I've been amazed by the Prefuse.org open source visualization project and its Vizster subproject. My only sadness is it's still beta.
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."
Animoog.org
There are times when visualization becomes an end in itself, not a tool for understanding. If what you want to do is create art from the natural world, that's great -- the showcased entries are undeniably beautiful, and I especially wouldn't mind having a the bat flight poster on my wall -- but it's a mistake to think that this is necessarily the best way to convey scientific information. There really are "two types of people in the world" when it comes to this sort of thing: call them visual learners and verbal learners, geometers and algebraists, GUI people and command-line people, what-have-you. For people in the first group, looking at a picture can often lead to great flashes of insight. For people in the second group, of which I happen to be a member, the best way to understand something is to read a well-written description or an elegantly proved theorem. Figures may be helpful, but the simpler (not necessarily the prettier) the better, and usually only as a kind of "capstone" after understanding the concept as written down.
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.
The correlation between ignorance of statistics and using "correlation is not causation" as an argument is close to 1.
Visualize this: God created the earth 6000 years ago.
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.
The correlation between ignorance of statistics and using "correlation is not causation" as an argument is close to 1.
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 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, specifically this book and this one and this one. 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.
This was my favorite desktop for a couple months.
http://en.wikipedia.org/wiki/Image:Ricin_structure.jpg
http://en.wikipedia.org/wiki/Ricin
"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.
My first Journal Entry ever, in 8 years! http://slashdot.org/journal/365947/aphelion-scifi-fantasy-horror-poetry-webzine
In one of the links, b00b/breasts are shown. Here's an enlarged shot.
Ant(Dude) @ Quality Foraged Links (AQFL.net) & The Ant Farm (antfarm.ma.cx / antfarm.home.dhs.org).
RS
Shoes for Industry. Shoes for the Dead.
I'm surprised nobody has mentioned this video yet. My prof showed it to us on the first day of cell biology and it really genuinely created an interest in biology that I didn't have before. More detailed version is here: http://multimedia.mcb.harvard.edu/media.html
Really quite amazing, even if you know absolutely nothing about biology
Bah... who has time for boring science books and dull 3d-graphs... give me the multi million dollar movie version or the 2$ cartoon like http://www.larrygonick.com/