Interactive Data Visualization : Foundations, Techniques, and Applications

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 P. Read more... Abstract: 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 P 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. Provides the theory, practical details, and tools necessary for building visualizations or systems involving the visualization of data. The authors cover the spectrum of data visualizations, including mathematical and statistical graphs, cartography for displaying geographic information, two- and three-dimensional scientific displays, integrated analysis and visualization tools, and general information visualization techniques Practitioners, developers, teachers, and students, as well as those interested in gaining some exposure to the field, will get an in-depth understanding of visualization techniques and are provided with sufficient information, often with full source code, to complete an implementation; those with more modest aspirations can focus on the concepts, theory, and high-level alogrithm details. --Book Jacket Content: Front Cover TOC Chapter 1 Chapter 2 Chapter 3 Chapter 4 Chapter 5 Chapter 6 Chapter 7 Chapter 8 Chapter 9 Chapter 10 Chapter 11 Chapter 12 Chapter 13 Chapter 14 Chapter 15 APPENDIX A APPENDIX B APPENDIX C Bibliography