Great work on that Voyager map.
Thanks!
One interesting thing about the Voyager map is that the design was shaped
by Tufte's first book, The Visual Display of Quantitative Information, which
came out a few years earlier. David DiBiase mentioned the book and I
read it and pulled out a handful of "Tufteisms" (appended below; at the
time I actually had them typed up and posted over my desk).
Working on the design of the Voyager map was quite seminal to my style
of map design - a mix of Tufte and DiBiase. At some point I became a
bit grumpy about Tufte, in that he had the right attitude, and was
inspirational, but did not provide many specific means to get to his
graphical excellence. I also found myself (in the cartographic lab) faced
with rather boring, univariate, simple data and projects: Tufte seemed to
suggest that I should seek out more exciting, multivariate, complex
projects - not quite possible (no, boss, I won't make that map - too
boring).
But the Voyager project did meet all those criteria, and really shaped
the design of every map I made after it.
I am curious if anyone else cares to share where they think their map
design style came from?
The Tufteisms are below...
john k.
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Tufteisms from The Visual Display of Quantitative Information (1983)
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Graphical excellence is the well-designed presentation of interesting data - a
matter of substance, of statistics, and of design.
Graphical excellence consists of complex ideas communicated with clarity,
precision, and efficiency.
Graphical excellence is that which gives to the viewer the greatest number of
ideas in the shortest time with the least ink in the smallest space.
Graphical excellence is nearly always multivariate.
The revelation of the complex.
Graphical excellence requires telling the truth about data.
Graphics must not quote data out of context.
Above all else, show the data.
Clear, detailed, and thorough labeling should be used to defeat graphical
distortion and ambiguity.
Write out explanations of the data on the graphic itself. Label important events
in the data.
The number of graphic dimensions depicted should not exceed the number of data
dimensions.
Forgo chartjunk.
Maximize the data-ink ratio.
Erase non-data and redundant-data ink.
Revise and edit.


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