Wednesday, April 1, 2009

Letting out your little Monet

I realized, sometime not too long ago, that I really enjoy adding aesthetically pleasing details to my figures in scientific publications. All scientists look at hundreds of boring, monochromatic scatterplots, bar charts and ordination plots every month, so why not make them a little more appealing? If done right, the benefits are that people are more likely to remember your key figures and perhaps results, you can convey more information by incorporating imagery, and you may actually get a little joy out of preparing those figures. The downfalls are, if done poorly, they are distracting and publishing color figures is always costly for print editions.

Here are some examples of artistically augmented publication figures -but if you have other good examples, let me know and I'll add them:
This is from a recent Ecology Letters from Crutsinger, Cadotte (me) and Sanders (2009), 12: 285-292, trying to explain how we partitioned arthropod diversity into spatial components.


This one is from Ellwood et al. (2009) in Ecology Letters 12: 277-284, which shows co-occurrence null histograms for patterns of arthropods at various hight locations on trees.

This one is from Crutsinger et al (2006) Science 313: 966-968 that displays patterns at differing trophic levels by juxtaposing photos of specific tropic members.















Finally, the use of drawings and images to illustrate phylogenetic trends in phenotypic evolution is particularly useful. Above are two examples, on the left is from Carlson et al. 2009 Evolution 63: 767-778, showing patterns of darter evolution; and on the right is from Oakley and Cunningham 2002 PNAS 99: 1426-1430, showing evolutionary pathways of compound eyes.


And here's one from Dolph Schluter (2000) American Naturalist 156: S4-S16, using drawings to illustrate how fish morphology corresponds to an abstracted index on the bottom axis.

Here are two from Joe Baily while working in Tom Whitham's Cottonwood Ecology Group that are effective ways to remind the reader what the treatments or dependent variables were (elk herbivory, leaf shape/genotype) and what the response variables were (bird predation, wood consumption by beavers). The left hand figure is from Baily & Whitham (2003) Oikos 101: 127-134 and the one on the right is from Baily et al. (2004) Ecology 85: 603-608.

Here is a great one posted by Ethan on Jabberwocky Ecology on Hurlbert's Unicorn!

3 comments:

  1. Yeah. I love this kind of thing. I always think Tom Whitham uses very simple but helpful and interesting "art" in his figures.

    travis

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  2. People sometimes forget that good graphics are as important as good writing. Good graphics are more than art or aesthetics, they are required for effective communication of data and ideas. On this subject, I always recommend Edward Tufte, including his classic The Visual Display of Quantitative Information.

    Science Magazine's Visualization challenge is also outstanding. Once science publishing finally breaks away from the historical constraint of print publishing, papers will routinely include multi-dimensional, multi-media, interactive data displays. That will be fun!

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  3. Pretty much the first thing I look at when I open up a paper are the figures. So I definitely agree that the quality of the graphics can make a big difference in the impact of a research project. This post made me think of one of my favorite examples of... supplementary illustration... in a paper, so I posted it over at our place.

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