Information Visualization, Third Edition: Perception for by Colin Ware

By Colin Ware

Most designers be aware of that yellow textual content provided opposed to a blue history reads sincerely and simply, yet what percentage can clarify why, and what quite are the simplest how you can aid others and ourselves basically see key styles in a host of knowledge? after we use software program, entry an internet site, or view enterprise or medical pix, our realizing is tremendously more desirable or impeded incidentally the data is presented.

This e-book explores the paintings and technology of why we see gadgets the way in which we do. according to the technology of conception and imaginative and prescient, the writer provides the major rules at paintings for a variety of applications--resulting in visualization of more desirable readability, software, and persuasiveness. The publication bargains sensible instructions that may be utilized by way of somebody: interplay designers, photograph designers of all types (including net designers), facts miners, and monetary analysts.

  • Complete replace of the famous resource in undefined, study, and educational for acceptable advice on details visualizing.
  • Includes the newest learn and state-of-the-art details on multimedia presentation.
  • More than one hundred sixty specific layout guidance in accordance with imaginative and prescient science.
  • A new ultimate bankruptcy that explains the method of visible pondering and the way visualizations aid us to consider problems.
  • Packed with over four hundred informative complete colour illustrations, that are key to figuring out of the subject.

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Additional info for Information Visualization, Third Edition: Perception for Design (Interactive Technologies)

Example text

Defining what should be an entity and what should be an attribute is not always straightforward. The salary of an employee, for example, could be thought of as an attribute of the employee, but we can also think of an amount of money as an entity unto itself, in which case we would have to define a relationship between the employee entity and the sum-of-money entity. Data Dimensions: 1D, 2D, 3D, … An attribute of an entity can have multiple dimensions. We can have a single scalar quantity, such as the weight of a person.

In this sense, words are arbitrary; they could be swapped and it would make no difference, as long as they are used consistently from the first time we encounter them. Arbitrary visual codes are often adopted when groups of scientists and engineers construct diagramming conventions for new problems that arise. Examples include circuit diagrams used in electronics, diagrams used to represent molecules in chemistry, and the unified modeling language used in software engineering. Of course, many designers will intuitively use perceptually valid forms in the codes, but many aspects of these diagrams are entirely conventional.

The question of whether pictures and diagrams are purely conventional or are perceptual symbols with special properties has been the subject of considerable scientific investigation. A good place to begin reviewing the evidence is the perception of pictures. There has been a debate over the past century between those who claim that pictures are every bit as arbitrary as words and those who believe that there may be a measure of similarity between pictures and the things that they represent. This debate is crucial to the theory presented here; if even “realistic” pictures do not embody a sensory language, it will be impossible to make claims that certain diagrams and other visualizations are better designed perceptually.

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