Introduction to Information Visualization

By: Riccardo Mazza

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Paperback | 2 April 2009

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160 Pages

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23.5 x 15.88 x 1.27

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Information Visualization is a relatively young field that is acquiring more and more concensus in both academic and industrial environments. 'Information Visualization' explores the use of computer-supported interactive graphical representations to explain data and amplify cognition. It provides a means to comunicate ideas or facts about the data, to validate hypotheses, and facilitates the discovery of new facts via exploration.

This book introduces the concepts and methods of Information Visualization in an easy-to-understand way, illustrating how to pictorially represent structured and unstructured data, making it easier to comprehend and interpret. Riccardo Mazza focuses on the human aspects of the process of visualization rather than the algorithmic or graphic design aspects.

Industry Reviews

From the reviews:

"This excellent book is written in an accessible language and is well structured, making it a fine textbook for an introductory course on information visualization (IV). Extensive use of good examples and figures will help readers quickly grasp the essentials of the different techniques and concepts presented. ... All in all, this book is a good starting point for understanding the goal of IV, getting a broad overview of the field, comprehending the main techniques proposed to date, and raising interest in future developments." (Angelica de Antonio, ACM Computing Reviews, July, 2009)

"In eight well-illustrated chapters, Mazza moves you through basic theory and simplified visualization techniques to reader response theory and highly complex techniques. ... meant to be a textbook for a course in information visualization. ... I find this book highly useful in understanding how to handle massive quantities of data visually. ... If used as a reference book, it points the way to solving problems related to visual representation of data in real time. ... a useful book for both academics and practitioners." (Tom Warren, Technical Communication, Vol. 57 (3), August, 2010)

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Non-Fiction Library & Info Sciences Computing & I.T.Computer Science Human-Computer Interaction Information Visualisation Operating Systems Artificial Intelligence Computer Vision User Interface Design & Usability

Introduction to Visual Representations	p. 1
Presentation	p. 4
Explorative Analysis	p. 5
Confirmative Analysis	p. 6
Information Visualization	p. 7
From Data to Wisdom	p. 8
Mental Models	p. 10
Scientific Visualization	p. 11
Criteria for Good Visual Representations	p. 12
Graphical Excellence	p. 13
Graphical Integrity	p. 13
Maximize the Data-Ink Ratio	p. 14
Aesthetics	p. 14
Conclusion	p. 15
Creating Visual Representations	p. 17
A Reference Model	p. 17
Preprocessing and Data Transformations	p. 18
Visual Mapping	p. 20
Views	p. 23
Designing a Visual Application	p. 24
Visual Representation of Linear Data	p. 26
2D vs. 3D	p. 30
Conclusion	p. 31
Perception	p. 33
Memory	p. 33
Preattentive Properties	p. 35
Color	p. 35
Form	p. 35
Spatial Position	p. 35
Movement	p. 38
Mapping Data to Preattentive Attributes	p. 38
Postattentive Processing	p. 39
Gestalt Principles	p. 41
Figure and Ground	p. 42
Proximity	p. 42
Similarity	p. 42
Closure	p. 43
Continuity	p. 43
Other Principles	p. 44
Conclusion	p. 44
Multivariate Analysis	p. 45
The Problem of Multivariate Visualization	p. 46
Geometric Techniques	p. 47
Parallel Coordinates	p. 47
Scatterplot Matrix	p. 50
TableLens	p. 52
Parallel Sets	p. 55
Icon Techniques	p. 55
Star Plots	p. 55
Chernoff Faces	p. 57
Pixel-Oriented Techniques	p. 59
Conclusion	p. 62
Networks and Hierarchies	p. 63
Network Data	p. 64
Concept Maps and Mind Maps	p. 65
Complex Network Data	p. 66
Geographic Representations	p. 72
Transport Networks	p. 73
3D Graphs	p. 74
Hierarchical Data	p. 75
File System	p. 77
Representing Evolutionary Data with Trees	p. 79
Cone Tree	p. 81
Botanical Tree	p. 81
Treemap	p. 83
Conclusion	p. 88
World Wide Web	p. 91
Website Maps	p. 91
Website Log Data	p. 93
Visual Representation of Search Engine Results	p. 98
Clustering	p. 100
Analysis of Interactions in Blogs	p. 102
Conclusion	p. 103
Interactions	p. 105
The Problem of Information Overload	p. 105
Types of Interactive Visual Representations	p. 106
Manipulable Representations	p. 107
Scrolling	p. 107
Overview + Details	p. 107
Focus + Context	p. 110
Transformable Representations	p. 116
Filtering Input Data	p. 116
Data Reordering	p. 117
Dynamic Queries	p. 117
Magic Lens	p. 119
Attribute Explorer	p. 121
Conclusion	p. 122
Evaluations	p. 125
Human-Computer Interaction	p. 125
Evaluation Criteria	p. 126
Evaluating Visual Representations	p. 127
Analytic Methods	p. 128
Empirical Methods	p. 129
Conclusion	p. 132
References	p. 133
Index	p. 137
Table of Contents provided by Ingram. All Rights Reserved.

Introduction to Information Visualization

At a Glance

Paperback

Industry Reviews

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How to return your order

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