Graphical Marks and Semiology for Sketching

  • Jonathan C. Roberts
  • Christopher J. Headleand
  • Panagiotis D. Ritsos


As we sketch and draw our different solutions it is good to think how information can be communicated effectively. Each of the marks and graphics that we place on the page need to convey the ideas that we have in our mind. How do we display information effectively? How do we know that things are related? This chapter investigates how we as humans understand information. We look to the Gestalt psychologists and explain principles of design, and look to Jacques Bertin and his graphics semiology.


Medium Card Graphical Mark Gestalt Principle Visual Depiction Iconic Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Bertin J (1983) Semiology of graphics. University of Wisconsin Press, Madison/LondonGoogle Scholar
  2. 2.
    Chernoff H (1973) The use of faces to represent points in k-dimensional space graphically. J Am Stat Assoc 68(342):361–368CrossRefGoogle Scholar
  3. 3.
    Chi EH, Barry P, Riedl J, Konstan J (1997) A spreadsheet approach to information visualization. In: IEEE symposium on information visualization, pp 17–24Google Scholar
  4. 4.
    Cleveland WS, McGill R (1984) Graphical perception: theory, experimentation, and application to the development of graphical methods. J Am Stat Assoc 79(387):531–554CrossRefGoogle Scholar
  5. 5.
    Harrower M, Brewer CA (2013) an online tool for selecting colour schemes for maps. Cartogr J 40(1). doi:  10.1179/000870403235002042
  6. 6.
    Perin C, Goc ML, Vozzo RD, Fekete JD, Dragicevic P (2015) DIY Bertin matrix. In: Proceedings of the CHI workshop: exploring the challenges of making data physical, SeoulGoogle Scholar
  7. 7.
    Pind JL (2013) Edgar Rubin and psychology in Denmark: figure and ground. Springer Science & Business Media, SwiterlandGoogle Scholar
  8. 8.
    Rao R, Card SK (1994) The table lens: merging graphical and symbolic representations in an interactive focus+context visualization for tabular information. In: Proceedings of the SIGCHI conference on human factors in computing systems. ACM, pp 318–322Google Scholar
  9. 9.
    Ward MO (2002) A taxonomy of glyph placement strategies for multidimensional data visualization. Inf Vis 1(3/4):194–210. doi:  10.1057/palgrave.ivs.9500025 CrossRefGoogle Scholar
  10. 10.
    Williams FC, Roberts JC (2013) Classifying visual knowledge representations: 23 years on. In: Proceedings visualization, Atlanta. IEEE, poster presentationGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jonathan C. Roberts
    • 1
  • Christopher J. Headleand
    • 2
  • Panagiotis D. Ritsos
    • 1
  1. 1.Bangor UniversityBangorUK
  2. 2.University of LincolnLincolnUK

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