The Washington Post won 12 awards from SND’s annual contest this year. The Society for News Design awarded NewsArt where I work 5 individual graphics awards and one “staff graphic portfolio” or general art department excellence. One of these was for Laura and Brenna’s Operation Turkey graphic which I promoted here last year. Laris and April received one for their full-page map of the Cherry Blossoms last spring, too.
While viewing other entries we came across this double-page spread from Mark McCormick’s December 15th, 2007 graphic in The Guardian (Britain) titled “Carbon Atlas” showing off a style of cartogram named Doring after Danny Dorling now of The University of Sheffield (download full res PDF).
(From NCGIA) A Dorling cartogram maintains neither shape, topology nor object centroids, though it has proven to be a very effective cartogram method. To create a Dorling cartogram, instead of enlarging or shrinking the objects themselves, the cartographer will replace the objects with a uniform shape, usually a circle, of the appropriate size. Professor Dorling (…) suggests that the shapes not overlap but rather be moved so that the full area of each shape can be seen.
Carbon Atlas Details
Note how the world map below shows true geography and establishes the region color code. Graduated circles, by region, establish proportions between regions and later iterate onto the background of the Europe detail image. Circles are labeled by rank on the main map (Europe clip below). Graduated circle labels could have been augmented with the 2 digit county code in many cases (e.g. 64CH for Switzerland). Use the table at the very bottom to lookup the rank number by continent to get the country name, total tons of C02 emissions, and ton-per-person equivalent.
I prefer this automated charting method as it emphasizes proportions while still approximating geographic relationships (spatial proximity) yet avoiding the abstract art distortion noise common in the fish eye method. Some cartograms do a better job preserving shape while scaling it proportionally to the data theme like this map of Oil Reserves where a fish eye algorithm might have guided creation of final art but the original shapes are better preserved. Automated routines are available for the Dorling method (including non-overlap) and the fish eye method.
Prof. Dorling is now involved in WorldMapper.org which uses a fish-eye lense effect to generate cartograms like this one. Some areas like Africa are relatively easy to digest. The Americas have turned into an ink-blot fractal. High marks for thematic coverage in the online atlas project, though. The fish eye artifacts are partly negated in this project by comparing so many different maps in sequence, especially with the selective use of animation.
Tags: carbon atlas, doring cartograms, fish eye lense, snd awards
Very cool. I’ve been working on a full Python script to produce these circular cartograms. You can read about it at indiemaps.com/blog/ (I have a few posts on the algorithm). By “full”, I mean that it will take shapefile input and output circular cartograms.
Seeing such a cool map produced using this cartogram method encourages me to keep working on the app!
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zfjohnson: I really look forward to you completing your algorithm. There are very few tools out there that actually work. By being in Py, I am assuming it will be an extension for ArcGIS?
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