Interactive Data Visualization: Foundations, Techniques, and Applications

Interactive Data Visualization: Foundations, Techniques, and Applications

by Matthew O. Ward, Georges Grinstein, Daniel Keim
     
 

ISBN-10: 1568814739

ISBN-13: 9781568814735

Pub. Date: 06/14/2010

Publisher: Taylor & Francis

Visualization is the process of representing data, information, and knowledge in a visual form to support the tasks of exploration, confirmation, presentation, and understanding. This book is designed as a textbook for students, researchers, analysts, professionals, and designers of visualization techniques, tools, and systems. It covers the full spectrum of the

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Overview

Visualization is the process of representing data, information, and knowledge in a visual form to support the tasks of exploration, confirmation, presentation, and understanding. This book is designed as a textbook for students, researchers, analysts, professionals, and designers of visualization techniques, tools, and systems. It covers the full spectrum of the field, including mathematical and analytical aspects, ranging from its foundations to human visual perception; from coded algorithms for different types of data, information and tasks to the design and evaluation of new visualization techniques.

Sample programs are provided as starting points for building one's own visualization tools. Numerous data sets have been made available that highlight different application areas and allow readers to evaluate the strengths and weaknesses of different visualization methods. Exercises, programming projects, and related readings are given for each chapter. The book concludes with an examination of several existing visualization systems and projections on the future of the field.

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Product Details

ISBN-13:
9781568814735
Publisher:
Taylor & Francis
Publication date:
06/14/2010
Series:
360 Degree Business Series
Pages:
513
Product dimensions:
7.50(w) x 9.50(h) x 1.00(d)

Table of Contents

Introduction
What Is Visualization?
History of Visualization
Relationship between Visualization and Other Fields
The Visualization Process
Pseudocode Conventions
The Scatterplot
The Role of the User
Related Readings
Exercises
Projects
Data Foundations
Types of Data
Structure within and between Records
Data Preprocessing
Data Sets Used in This Book
Related Readings
Exercises
Projects
Human Perception and Information Processing
What Is Perception?
Physiology
Perceptual Processing
Perception in Visualization
Metrics
Related Readings
Exercises
Projects
Visualization Foundations
The Visualization Process in Detail
Semiology of Graphical Symbols
The Eight Visual Variables
Historical Perspective
Taxonomies
Related Readings
Exercises
Projects
Visualization Techniques for Spatial Data
One-Dimensional Data
Two-Dimensional Data
Three-Dimensional Data
Dynamic Data
Combining Techniques
Summary
Related Readings
Exercises
Projects
Visualization Techniques for Geospatial Data
Visualizing Spatial Data
Visualization of Point Data
Visualization of Line Data
Visualization of Area Data
Other Issues in Geospatial Data Visualization
Related Readings
Exercises
Projects
Visualization Techniques for Multivariate Data
Point-Based Techniques
Line-Based Techniques
Region-Based Techniques
Combinations of Techniques
Related Readings
Exercises
Projects
Visualization Techniques for Trees, Graphs, and Networks
Displaying Hierarchical Structures
Displaying Arbitrary Graphs/Networks
Other Issues
Related Readings
Exercises
Projects
Text and Document Visualization
Introduction
Levels of Text Representations
The Vector Space Model
Single Document Visualizations
Document Collection Visualizations
Extended Text Visualizations
Summary
Related Readings
Exercises
Projects
Interaction Concepts
Interaction Operators
Interaction Operands and Spaces
A Unified Framework
Summary
Related Readings
Exercises
Projects
Interaction Techniques
Screen Space
Object Space (D Surfaces)
Data Space (Multivariate Data Values)
Attribute Space (Properties of Graphical Entities)
Data Structure Space (Components of Data Organization)
Visualization Structure Space (Components of the
Data Visualization)
Animating Transformations
Interaction Control
Related Readings
Exercises
Projects
Designing Effective Visualizations
Steps in Designing Visualizations
Problems in Designing Effective Visualizations
Summary
Related Readings
Exercises
Projects
Comparing and Evaluating Visualization Techniques
User Tasks
User Characteristics
Data Characteristics
Visualization Characteristics
Structures for Evaluating Visualizations
Benchmarking Procedures
An Example of Visualization Benchmarking
Related Readings
Exercises
Projects
Visualization Systems
Systems Based on Data Type
Systems Based on Analysis Type
Text Analysis and Visualization
Modern Integrated Visualization Systems
Toolkits
Related Readings
Exercises
Projects
Research Directions in Visualization
Issues of Data

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