By Colin Ware
ISBN-10: 0123814650
ISBN-13: 9780123814654
Publish 12 months note: First released January 1st 2012
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Most designers comprehend that yellow textual content awarded opposed to a blue historical past reads in actual fact and simply, yet what number can clarify why, and what particularly are the simplest how you can aid others and ourselves essentially see key styles in a number of knowledge? after we use software program, entry an internet site, or view company or medical images, our knowing is tremendously greater or impeded incidentally the knowledge is presented.
This booklet explores the artwork and technology of why we see items the way in which we do. in accordance with the technology of conception and imaginative and prescient, the writer provides the main rules at paintings for a variety of applications--resulting in visualization of superior readability, software, and persuasiveness. The booklet bargains sensible instructions that may be utilized via somebody: interplay designers, photograph designers of every kind (including net designers), info miners, and fiscal analysts.
• entire replace of the famous resource in undefined, learn, and educational for acceptable counsel on details visualizing.
• comprises the newest study and cutting-edge info on multimedia presentation.
• greater than a hundred and sixty specific layout directions in line with imaginative and prescient science.
• a brand new ultimate bankruptcy that explains the method of visible considering and the way visualizations support us to consider problems.
• full of over four hundred informative complete colour illustrations, that are key to knowing of the subject.
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Additional info for Information Visualization: Perception for Design (3rd Edition)
Sample text
Gibson’s Affordance Theory 17 The foregoing analysis leads to our fourth guideline. 4] Graphical symbol systems should be standardized within and across applications. It is important, however, that they first be designed to be perceptually efficient. The Study of Arbitrary Conventional Symbols The appropriate methodology for studying arbitrary symbols is very different from that used to study sensory symbols. The tightly focused, narrow questions addressed by psychophysics are wholly inappropriate to investigating visualization in a cultural context.
00002-8 © 2013 Elsevier, Inc. All rights reserved. 32 The Environment, Optics, Resolution, and the Display measure up?
In practice, only three of Stevens’s levels of measurement are widely used, and these in somewhat different form. The typical basic data classes most often considered in visualization have been greatly influenced by the demands of computer programming. They are the following: Category data. This is like Stevens’s nominal class. Integer data. This is like his ordinal class in that it is discrete and ordered. Real-number data. This combines the properties of interval and ratio scales. 28 Foundations for an Applied Science of Data Visualization Uncertainty In science and engineering it is common to attach an uncertainty attribute either to raw data or to derived data.
Information Visualization: Perception for Design (3rd Edition) by Colin Ware
by James
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