Mathematics – Logic
Scientific paper
Oct 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004eostr..85..385l&link_type=abstract
EOS Transactions, AGU, Volume 85, Issue 40, p. 385-391
Mathematics
Logic
4
General Or Miscellaneous: Techniques Applicable In Three Or More Fields, Public Issues: Education, Global Change: Instruments And Techniques
Scientific paper
Modern computer displays and printers enable the widespread use of color in scientific communication, but the expertise for designing effective graphics has not kept pace with the technology for producing them. Historically, even the most prestigious publications have tolerated high defect rates in figures and illustrations, and technological advances that make creating and reproducing graphics easier do not appear to have decreased the frequency of errors. Flawed graphics consequently beget more flawed graphics as authors emulate published examples. Color has the potential to enhance communication, but design mistakes can result in color figures that are less effective than gray scale displays of the same data. Empirical research on human subjects can build a fundamental understanding of visual perception and scientific methods can be used to evaluate existing designs, but creating effective data graphics is a design task and not fundamentally a scientific pursuit. Like writing well, creating good data graphics requires a combination of formal knowledge and artistic sensibility tempered by experience: a combination of ``substance, statistics, and design''.
Bartlein Patrick J.
Light Adam
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