analysis of informa on the visual variables
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Analysis of Informa.on The Visual Variables Size Value Texture - PowerPoint PPT Presentation

Analysis of Informa.on The Visual Variables Size Value Texture Color Orienta.on Shape 2D Plane - 8 variables to work with - The components of graphic system The Level of Variables Level = perceptual proper.es


  1. Analysis of Informa.on

  2. The Visual Variables • Size • Value • Texture • Color • Orienta.on • Shape • 2D Plane - 8 variables to work with - The components of graphic system

  3. The Level of Variables • Level = perceptual proper.es • A value varia.on is capable of represen.ng an ordered component; a shape variable is not.

  4. The Level of Variable Selec.ve • – Allow us to immediately isolate all the correspondences that have the same category (such as same color, same shape, etc.) – i.e. fundamental perceptual features Associa.ve • – Permit immediate grouping of all the correspondences differen.ated by this variable but are common in other variables • Squares, triangles, circles of the same color and size are considered the same group – Shape is associa.ve • White, gray, block circles of the same size are not seen as the same – Color is not associa.ve Ordered • – When the order is immediate and universal (e.g. gray level intensity) Quan.ta.ve • – When the visual distance can be immediately expressed by a numerical ra.o (e.g. line length)

  5. The Level of Organiza.on of The Plane • A varia.on in planar posi.on is selec.ve (figure 3) • A varia.on in posi.on is associa.ve (figure 3) • A varia.on in posi.on/angle is ordered (figure 4) • A varia.on in posi.on is quan.ta.ve (figure 6)

  6. Imposi.on • U.liza.on of two planar dimensions • Mainly depends on the nature of the correspondences (data) expressed on the plane • Divided into four groups – Diagrams – Networks – Maps – Symbols

  7. Types of Imposi.on • An arrangement dispersed over the en.re plane ( type ) – Rec.linear – Circular – Orthogonal – Polar • Thus imposi.on includes two stages – Group of imposi.on – Type of imposi.on

  8. Example • Traffic accident vic.ms – Invariant: vic.m of a traffic accident in France in 1958 – Components • Q of person according to • Four different categories (28951 pedestrians, 17247 in bicycles, 74887 in motorcycles, 63071 in vehicles)

  9. Rec.linear Imposi.on • Figure 1, 2, 4, 5 The bar means the total is portrayed

  10. Orthogonal Imposi.on • Figure 6-10 : the par.al quan..es are not added but are related to the same base • The total is not portrayed, but the parts are easy to compare

  11. Rec.linear Eleva.on • Figure 11-15 • The quan..es are represented by area • Different parts are juxtaposed (11-13) or superimposed (14-15)

  12. Circular Imposi.on • Eyes are good at detec.ng angle, 17 and 19 are easier to grasp than 18

  13. Polar Imposi.on • Curving the orthogonal • The total is not portrayed, and the parts are not easy to compare

  14. Circular Eleva.on • Curving Rec.linear eleva.on

  15. The Re.nal Variables • When introducing the third component, the graphic representa.on must u.lize the re.nal variables

  16. Associa.ve Percep.on Associa.ve Not Associa.ve

  17. Selec.ve and Ordered Selec.ve: Ordered: O

  18. Quan.ta.ve Size

  19. Level of Organiza.on Associa.ve Selec.ve: Ordered: O Quan.ta.ve: Q

  20. The Value Varia.on • Con.nuous progression which the eye perceives in a series of grays ranging from black to white (strongest value being black) • The ra.o between the total amount of black and white perceived on a given surface • Independent of color (hue)

  21. Length of Value Varia.on • A value varia.on is ordered • For selec.ve percep.on, not to exceed size of seven steps of value • The contrast between gray and white increases as the mark becomes smaller (when a large white is involved) • Value varia.on is disassocia.ve (not possible to disregard it visually)

  22. Principle Proper.es of Value • Value is ordered, and we cannot reorder it • Value is not quan.ta.ve (no ra.o can be easily seen)

  23. Principle Proper.es of Value • Requires to transform a series of numbers to a series of value scales (there is not a single rule)

  24. Texture Varia.on • Texture is the number of separable marks contained in a unitary area

  25. Size and Texture • The length of a given texture is directly linked to the size of the marks • The larger the mark, the greater the number of separable steps – Area representa.on: larger marks, hence furnish the greatest number of steps – Linear representa.on: limited to three or four selec.ve steps – Point representa.on: two or three steps

  26. The Vibratory Effect • A uncomfortable sensa.on of vibra.on • Create a remarkable selec.ve possibility when used properly

  27. The Vibratory Effect • A uncomfortable sensa.on of vibra.on • Create a remarkable selec.ve possibility when used properly • Occur at 50% of value

  28. The Vibratory Effect • A uncomfortable sensa.on of vibra.on • Create a remarkable selec.ve possibility when used properly • Occur at 50% of value

  29. Crea.ng Vibra.on • Linear representa.on – rela.vely easy • Point representa.on – by external or internal complexity

  30. Orienta.on Varia.on We are sensi.ve to the • varia.on of orienta.on only when the mark has a linear aspect – The ra.o of height/width > 4/1 – The number of orienta.ons need to be limited – It is the difference in angle between parallel signs that cons.tutes the percep.ble s.mulus Bejer to limit to use 4 • different orienta.ons. Selec.vity diminishes with more orienta.ons.

  31. Shape Varia.on • There are infinite number of shapes • It is the similarity recognized in the shape which cons.tutes the s.mulus • Shape is associa.ve , but not selec.ve – They cannot be grouped at a single glance • Point representa.on – two similar shapes are difficult to iden.fy • Linear representa.on – a line can differ in the shape • Area representa.on – maximize the selec.vity by contras.ng other variables: size, value, and texture

  32. Shape Varia.on

  33. Color Varia.on • The percep.ble difference which can be perceived between uniform areas having the same value • Tone – defined by two parameters: Hue and Value (luminance)

  34. Color Varia.on

  35. Color Satura.on • A color can be added with more white (change in satura.on) and black (change in value) • A saturated color is neither with any white or black • The saturated color is not of constant value but varies in color according to the color

  36. Visual Percep.on of Colors • Immediate visual percep.on of colors follows the order of the values Blue and red are ‘similar’ Order according to the values

  37. Visual Percep.on of Colors • Color varia.on is not ordered – Varia.ons in color but not value cannot be used to represent ordered component • Selec.vity is at a maximum near the saturated colors – Light values: around yellow – from green to orange – Medium values: blue to red – Dark values: blue to red (of dark values)

  38. Color Varia.on

  39. Visual Percep.on of Colors • The smaller the mark, the less dis.nguishable are the colors – The length of a color varia.on is thus the func.on of the size of marks • The series of pure tone is disassocia.ve • Light color should be avoided for linear and point representa.on (not very visible) • Color is selec.ve, not ordered

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