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Colour for Presentation Graphics Ross Ihaka Department of - PowerPoint PPT Presentation

Colour for Presentation Graphics Ross Ihaka Department of Statistics University of Auckland First Prev Next Last Go Back Full Screen Close Quit The Problem Many presentation graphics use coloured areas to


  1. Colour for Presentation Graphics Ross Ihaka Department of Statistics University of Auckland • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  2. The Problem • Many presentation graphics use coloured areas to encode information. • The colours are used to indicate association with data groups. • Examples: – Bar graphs – Pie charts – Mosaic plots • How should the colours be chosen? • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  3. Cherry Blueberry Apple Vanilla Cream Other Boston Cream January Pie Sales Example from The P OST S CRIPT Language Tutorial and Cookbook. Produced by demo(graphics) in R. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  4. Michael Friendly: The Berkeley Admissions Data. http://www.math.yorku.ca/SCS/Courses/grcat/grc3.html#Fig_4fold2 • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  5. American Mathematical Society: Visual Explanations in Mathematics. http://www.ams.org/new-in-math/cover/visual1.html • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  6. Approaches to Colour Choice • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  7. Approaches to Colour Choice • Avoid colour. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  8. Approaches to Colour Choice • Avoid colour. • Determine colours by experimentation. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  9. Approaches to Colour Choice • Avoid colour. • Determine colours by experimentation. • Use “good taste” or expertise. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  10. Approaches to Colour Choice • Avoid colour. • Determine colours by experimentation. • Use “good taste” or expertise. • Use fixed palettes designed by an expert. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  11. Approaches to Colour Choice • Avoid colour. • Determine colours by experimentation. • Use “good taste” or expertise. • Use fixed palettes designed by an expert. • Look for guiding principles. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  12. Colour Vision • The cone cells of the retina provide our normal light (photopic) vision. • Initially there was a single class of cone cell providing monochrome vision. • The single class of cone cell differentiated into separate yellow and blue sensitive cells. • The yellow class of cone cell differentiated into separate red and green sensitive cells. • We now have three different types of cone cell, with peak sensitivity at different light wavelengths. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  13. Color Axes • Evolution has given us a perception of colour which is three dimensional. – Axis 1: Brightness. – Axis 2: Location on a yellow/blue scale. – Axis 3: Location on a red/green scale. • Our natural perception of colour seems to correspond to the use of polar coordinates for axes 2 and 3. – Axis 1: Brightness (or Luminance) – Axis 2: Colourfulness (or Chroma) – Axis 3: Hue • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  14. Yellow Green Red Blue • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  15. Colour Spaces • RGB Colours are represented by the amount of red, green and blue primaries required to produce a given colour sensation. Device dependent . • HSV, HSL, . . . Transformations of RGB space which match our perception of colour better than RGB. Device dependent . • CIE-XYZ Colours are described in terms of colour matching to a fixed (but imaginary) set of primary colours. Device independent . • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  16. Uniform Colour Spaces • Munsell An empirically calibrated, “perceptually uniform” color space. Defined in terms of hue, brightness and chroma. Device independent . • CIE-LAB A transformed version of CIE-XYZ which is more perceptually uniform. Designed for reflective applications. Device independent . • CIE-LUV Another transformed version of CIE-XYZ. Designed for emissive applications. Device independent . • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  17. CIE-LUV • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  18. Colour Harmony or Balance • Some of the most sensible advice on colour use is to be found in the work of the American colourist Albert Munsell. • Munsell taught painting in Boston and derived some simple principles for good colour use. • He provides simple recommendations on how colours can be chosen in a harmonious way. • Unlike many prescriptions for colour use, Munsell’s recommendations are quantitative . • The recommendations are directed at Munsell’s empirically derived uniform colour space. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  19. Full Saturation Hues. These colours vary wildly in brightness and colourfulness. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  20. The circus wheel and poster, although they yell successfully for momentary attention, soon become so painful to the vision that we turn from them. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  21. “Balanced” Colours After Munsell These colours have equal brightness and colourfulness. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  22. Munsell Rediscovered • Munsell set down his ideas on colour harmony shortly before the art world rejected prescriptions of balance and order. • Despite their rejection in fine arts, the ideas have been retained and appreciated in the graphic arts printing industry. • The ideas appear to now be undergoing a rediscovery by those working in visualisation user interface design. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  23. Choosing Colours for Presentation Graphics • Work in a perceptually uniform colour space (e.g. LUV). • To make colours comparable, make them have: – Equal luminances (i.e. equally bright) – Equal chroma (i.e. be equally colourful). • Given these (and any other) constraints, space the colours out as much a possible. • Such colours can be described as having “equal impact,” because they differ only in hue. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  24. A Slice Through LUV Coordinates (L = 75) The circle has radius 55. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  25. A Six Colour Palette (L = 75, C = 55) • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  26. A Slice Through LUV Coordinates (L = 85) The circle has radius 35. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  27. A Six Colour Palette (L = 85, C = 35) • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  28. Computer Science PhD Graduates 30 Fall Summer Spring 25 Winter 20 Students 15 10 5 0 72 73 74 75 76 77 78 79 80 81 82 83 84 85 Year Equispaced colours, full circle (after Foley and Van Dam). • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  29. Computer Science PhD Graduates 30 Fall Summer Spring 25 Winter 20 Students 15 10 5 0 72 73 74 75 76 77 78 79 80 81 82 83 84 85 Year Equispaced colours, half circle (after Foley and Van Dam). • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  30. Computer Science PhD Graduates 30 Fall Summer Spring 25 Winter 20 Students 15 10 5 0 72 73 74 75 76 77 78 79 80 81 82 83 84 85 Year Metaphorical colours (after Foley and Van Dam). • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  31. Computer Science PhD Graduates 30 Fall Summer Spring 25 Winter 20 Students 15 10 5 0 72 73 74 75 76 77 78 79 80 81 82 83 84 85 Year Cool colours (after Foley and Van Dam). • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  32. Computer Science PhD Graduates 30 Fall Summer Spring 25 Winter 20 Students 15 10 5 0 72 73 74 75 76 77 78 79 80 81 82 83 84 85 Year Warm colours (after Foley and Van Dam). • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

  33. Conclusions and Further Work • There is a simple recipe which can be used to choose colours for display graphics. • No special expertise is required to apply the recipe and it generally produces pleasing results. • The ideas here apply only to the filling of areas in presentation graphics. • It is likely that there are additional ideas of balance which apply to the drawing of lines and glyphs. • This is the subject of further study. • First • Prev • Next • Last • Go Back • Full Screen • Close • Quit

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