Metrics That Make a Difference: How to Analyze Change and Error

✍ Scribed by Robert Gilmore Pontius Jr

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 130
• Series: Advances in Geographic Information Science
• Edition: 1
• Category: Library

✦ Synopsis

Your government warns that 10% of your neighbors have a deadly contagious virus. The producer of a diagnostic test advertises that 90% of its tests are correct for any population. The test indicates that you have the virus. This book’s author claims your test has a 50% chance of being false, given your test’s result. Who do you believe? This book gives you insights necessary to interpret metrics that make a difference in life’s decisions.

This book gives methods and software that are essential to analyze change and error. Change describes a phenomenon across time points. Error compares diagnoses with the truth. Other texts give insufficient attention to these topics. This book’s novel ideas dispel popular misconceptions and replace previous methods. The author uses carefully designed graphics and high school mathematics to communicate easily with college students and advanced scientists. Applications include but are not limited to Remote Sensing, Land Change Science, and Geographic Information Science.

“A wide range of tools to aid understanding of land cover and its change has been used but scientific progress has sometimes been limited through misuse and misunderstanding. Professor Pontius seeks to rectify this situation by providing a book to accompany the researcher’s toolbox. Metrics That Make a Difference addresses basic issues of relevance to a broad community in a mathematically friendly way and should greatly enhance the ability to elicit correct information. I wish this book existed while I was a grad student.” – Giles Foody, Professor of Geographical Information Science, The University of Nottingham

“Metrics That Make a Difference provides a comprehensive synthesis of over two decades of work during which Dr. Pontius researched, developed, and applied these metrics. The book meticulously and successfully guides the reader through the conceptual basis, computations, and proper interpretation of the many metrics derived for different types of variables. The book is not just a mathematical treatise but includes practical guidance to good data analysis and good science. Data scientists from many fields of endeavor will benefit substantially from Dr. Pontius’ articulate review of traditionally used metrics and his presentation of the innovative and novel metrics he has developed. While reading this book, I had multiple ‘aha’ moments about metrics that I shouldn't be using and metrics that I should be using instead.” – Stephen Stehman, Distinguished Teaching Professor, State University of New York

✦ Table of Contents

Foreword
Preface
Acknowledgements
Contents
List of Figures
List of Tables
About the Author
Chapter 1: Binary Variable Versus Binary Variable
1.1 Text
1.2 Discussion Questions
References
Chapter 2: Binary Variable Versus Rank Variable
2.1 Text
2.2 Discussion Questions
References
Chapter 3: Application of the Total Operating Characteristic
3.1 Text
3.2 Discussion Questions
References
Chapter 4: Categorical Variable Versus Categorical Variable
4.1 Text
4.2 Discussion Questions
References
Chapter 5: Application to Categorical Error Assessment with Sampling
5.1 Text
5.2 Discussion Questions
References
Chapter 6: Multiple Spatial Resolutions for Categorical Variables
6.1 Text
6.2 Discussion Questions
References
Chapter 7: Application to Categorical Temporal Change
7.1 Text
7.2 Discussion Questions
References
Chapter 8: Interval Variable Versus Interval Variable
8.1 Text
8.2 Discussion Questions
References
Chapter 9: Application to Interval Temporal Change
9.1 Text
9.2 Discussion Questions
Reference
Chapter 10: Indices of Agreement
10.1 Text
10.2 Discussion Questions
References
Chapter 11: Vector Variable Versus Vector Variable
11.1 Text
11.2 Discussion Questions
References
Chapter 12: Commandments to Avoid Deadly Sins
12.1 Text
12.2 Discussion Questions
References
Glossary