Data Visualisation Workshop - Theory

EPA Victoria - June 2018

Dr James Baglin, School of Science, Mathematical Sciences, RMIT University

Last updated: 24 June, 2018

Visual Information Processing System

- By understanding a little about our visual perception system, and it’s limitations, we can ensure we design effective data visualisation that do not deceive.

Colin Ware’s (2013) three stage model of visual information processing (p. 20)

Reality is a Construct

  • Visual illusions remind us of the limitations of our visual perception system and how our brains construct reality.

Preattentive Processing

  • What features of the following image “pop-out” to you?

Preattentive Processing Cont.

  • What draws your attention?

Preattentive Processing Cont. 2

  • Preattentive processing is the degree to which a visual object is made available for our attention (Ware, 2013)
  • Many features are known to be preattentively processed:
    • Orientation
    • Curved/straight
    • Shape
    • Length
    • Size
    • Colour
    • Light/dark
    • Enclosure
    • Convex/Concave
    • Addition

Preattentive Processing Cont. 3

Gestalt Laws

  • Gestalt laws attempt to explain the way humans recognise visual patterns. In this workshop we look at the following laws and how they relate to data visualisation:

    • Proximity
    • Similarity
    • Connectedness
    • Continuity
    • Symmetry
    • Closure
    • Figure Ground Principle
    • Common fate

Proximity

  • Objects close or clustering together are perceptually grouped.

Proximity Example

Social Network Analysis Visualization

Similarity

  • Objects of similar characteristics (e.g. size, shape, colour) are grouped.

Similarity Example

KMeans-Gaussian-data.svg
By Chire - Own work, CC BY-SA 3.0, Link

Connectedness

  • More powerful than proximity, colour, size or shape. Objects connected by lines demonstrate relationships between objects.

Connectedness Example

NCDC Land, Ocean and Combined Temperature

Continuity

  • This law predicts that we are inclined to perceive objects from elements that are smooth and continuous, versus irregular and jagged.

Continuity Example

Energy Visuals

Symmetry

  • We tend to group symmetrical objects together.

Symmetry Example

Closure

  • Closure refers to our tendency to “fill in the gaps” when we see incomplete patterns that resemble familiar shapes and objects.

Closure Example

Figure Ground Principle

  • The figure ground effect tells us that smaller objects within a figure are interpreted as the foreground, while larger objects make up the ground.

Figure Ground Principle Example

Beautiful plotting in R: A ggplot2 cheatsheet by ZevRoss

Common Fate

  • Objects perceived to be moving in the same direction are grouped together and share a common path.

Common fate by Reaktor

Common Fate Eample

Change Blindness

  • Breaks in our attention can make us insensitive to changes in our environment.

  • How can we use our understanding of change blindness to improve our visualisations?

Inattention Blindness

  • Focusing our attention can cause other things in the environment to go unnoticed.

  • How can we use our understanding of inattention blindness to improve our visualisations?

Visual Variables

Visual Comparison Accuracy

Activity 2 - Deconstruct

  • Working with your partner or in a small group, discuss the perceptual issues associated with pie charts.

Old King Coal, a dying dynasty - The Citizen (2016)

Quick Quiz 2

References

Ware, C. 2013. Information visualization: Perception for design. 3rd ed. Waltham, MA: Morgan Kaufmann.