[R] perception of graphical data
daj025 at gmail.com
Fri Aug 24 19:58:38 CEST 2007
You may want to check chapter 4 ("Graphical Perception") in W. S.
Cleveland (1985?) "The Elements of Graphing Data" and the references
On 8/24/07, Yeh, Richard C <richard.c.yeh at bankofamerica.com> wrote:
> I apologize that this is off-topic. I am seeking information on
> perception of graphical data, in an effort to improve the plots I
> produce. Would anyone point me to literature reviews in this area? (Or
> keywords to try on google?) Is this located somewhere near cognitive
> science, psychology, human factors research?
> For example, some specific questions I have are:
> I recall as a child when I first saw a map where the areas of the
> containers (geographical states) were drawn as rectangles, proportional
> to a quantity other than land area. Does anyone know of an algorithm
> for drawing such maps? Would anyone know of a journal or reference
> where I can find studies on whether subjects reading these maps can
> accurately assess the meaning of the different areas, as [some of us]
> can assess different heights on a bar graph? (What about areas in bar
> graphs with non-uniform widths?)
> Scatter plots of microarray data often attempt to represent thousands or
> tens of thousands of points, but all I read from them are density and
> distribution --- the gene names cannot be shown. At what point, would a
> sunflowerplot-like display or a smooth gradient be better? When two
> data points drawn as 50% gray disks are small and tangent, are they
> perceptually equivalent to a single, 100% black disk? Or a 50% gray
> disk with twice the area? What problems are known about plotting with
> disks --- do viewers use the area or the diameter (or neither) to gauge
> As you can tell, I'm a non-expert, mixing issues of data interpretation,
> visual perception, graphic representation. Previously, I didn't have
> the flexibility of R's graphics, so I didn't need to think so much.
> I've read some of Edward S. Tufte's books, but found them more
> qualitative than quantitative.
> 212-933-3305 / richard.c.yeh at bankofamerica.com
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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