map 001: antarctica
30 September 2009, 1:25 pm
Filed under: architecture, inspiration, mapping | Tags:




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“MAP (Manual of Architectural Possibilities) is a publication of research and visions; research into territories, which can be concrete or abstract, but always put into question. Map is not a magazine (it only has two pages) and is not a book (it is issued twice a year). Map presents itself as a folded poster (A1) where information is immediate, dense and objective in one side, and architectural and subjective on the other. Map is a guide to potential actions in the built environment, a folded encyclopedia of the possible, a topography of ideas, or a poster on the wall.”


26 May 2009, 12:24 pm
Filed under: lists, mapping | Tags: , ,

I stumbled across this list of “Tufteisms” via City of Sound (an excellent blog, by the way). I especially like number 3.

20 Tufteisms from The Visual Display of Quantitative Information

  1. Graphical excellence is the well-designed presentation of interesting data – a matter of substance, of statistics, and of design.
  2. Graphical excellence consists of complex ideas communicated with clarity, precision, and efficiency.
  3. 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.
  4. Graphical excellence is nearly always multivariate.
  5. Graphical excellence requires telling the truth about the data.
  6. The representation of numbers, as physically measured on the surface of the graphic itself, should be directly proportional to the numerical quantities represented.
  7. Clear, detailed, and thorough labeling should be used to defeat graphical distortion and ambiguity.
  8. Write out explanations of the data on the graphic itself. Label important events in the data.
  9. Show data variation, not design variation.
  10. In time-series displays of money, deflated and standardized units of monetary measurement are nearly always better than nominal units.
  11. The number of information-carrying (variable) dimensions depicted should not exceed the number of dimensions in the data.
  12. Graphics must not quote data out of context.
  13. Above all else, show the data.
  14. Maximize the data-ink ratio.
  15. Erase non-data-ink.
  16. Erase redundant data-ink.
  17. Revise and edit.
  18. Forgo chartjunk
  19. If the nature of the data suggests the shape of the graphic, follow that suggestion. Otherwise, move toward horizontal graphics about 50 percent wider than tall.
  20. The revelation of the complex.

Read more here.