Mazza Introduction to Information Visualization

1. Auflage 2009
ISBN: 978-1-84800-219-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 139 Seiten

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.

Autoren/Hrsg.

Mazza, Riccardo

Inhaltsverzeichnis

1;Preface;6
2;Acknowledgments;8
3;Contents;9
4;List of Figures;12
5;Introduction to Visual Representations;16
5.1;Presentation;19
5.2;Explorative Analysis ;20
5.3;Confirmative Analysis;21
5.4;Information Visualization;22
5.5;From Data to Wisdom;23
5.6;Mental Models;25
5.7;Scientific Visualization;26
5.8;Criteria for Good Visual Representations;27
5.8.1;Graphical Excellence;28
5.8.2;Graphical Integrity;28
5.8.3;Maximize the Data--Ink Ratio;29
5.8.4;Aesthetics;29
5.9;Conclusion;30
6;Creating Visual Representations ;31
6.1;A Reference Model ;31
6.1.1;Preprocessing and Data Transformations;32
6.1.2;Visual Mapping;34
6.1.3;Views;37
6.2;Designing a Visual Application ;38
6.3;Visual Representation of Linear Data ;40
6.4;2D vs. 3D;44
6.5;Conclusion;45
7;Perception;47
7.1;Memory;47
7.2;Preattentive Properties;49
7.2.1;Color;49
7.2.2;Form;49
7.2.3;Spatial Position;49
7.2.4;Movement;52
7.3;Mapping Data to Preattentive Attributes;52
7.4;Postattentive Processing;53
7.5;Gestalt Principles;55
7.5.1;Figure and Ground;56
7.5.2;Proximity;56
7.5.3;Similarity;56
7.5.4;Closure;57
7.5.5;Continuity;57
7.5.6;Other Principles;58
7.6;Conclusion;58
8;Multivariate Analysis ;59
8.1;The Problem of Multivariate Visualization;60
8.2;Geometric Techniques;61
8.2.1;Parallel Coordinates;61
8.2.2;Scatterplot Matrix;64
8.2.3;TableLens;66
8.2.4;Parallel Sets;66
8.3;Icon Techniques;69
8.3.1;Star Plots;69
8.3.2;Chernoff Faces;71
8.4;Pixel-Oriented Techniques;73
8.5;Conclusion;76
9;Networks and Hierarchies ;77
9.1;Network Data;78
9.1.1;Concept Maps and Mind Maps;79
9.1.2;Complex Network Data;80
9.1.3;Geographic Representations;86
9.1.4;Transport Networks;87
9.1.5;3D Graphs;88
9.2;Hierarchical Data ;89
9.2.1;File System;91
9.2.2;Representing Evolutionary Data with Trees ;93
9.2.3;Cone Tree;95
9.2.4;Botanical Tree;95
9.2.5;Treemap;97
9.3;Conclusion;102
10;World Wide Web ;104
10.1;Website Maps;104
10.2;Website Log Data;106
10.3;Visual Representation of Search Engine Results;111
10.3.1;Clustering;113
10.4;Analysis of Interactions in Blogs;115
10.5;Conclusion;116
11;Interactions ;117
11.1;The Problem of Information Overload;117
11.2;Types of Interactive Visual Representations;118
11.3;Manipulable Representations;119
11.3.1;Scrolling;119
11.3.2;Overview + Details ;119
11.3.3;Focus + Context;122
11.4;Transformable Representations;128
11.4.1;Filtering Input Data;128
11.4.2;Data Reordering;129
11.4.3;Dynamic Queries;129
11.4.4;Magic Lens;131
11.4.5;Attribute Explorer;133
11.5;Conclusion;134
12;Evaluations ;136
12.1;Human--Computer Interaction;136
12.2;Evaluation Criteria;137
12.3;Evaluating Visual Representations;138
12.3.1;Analytic Methods;139
12.3.2;Empirical Methods;140
12.4;Conclusion;143
13;References;144
14;Index;147