The ESRI Guide to GIS Analysis: Volume 2: Spatial Measurements and Statistics / Edition 1

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Backed by the collective knowledge and experience of the world's leading Geographic Information Systems (GIS) company, the concepts and methods presented in this volume will allow users to unleash the full analytic power of their GIS. The most commonly used spatial statistical tools are described in detail along with their applications in a range of disciplines, from crime analysis to habitat conservation. GIS users will learn how features are distributed, how to analyze the pattern created by the features, and how to determine the relationships between them. Four general statistical concepts are discussed, including testing statistical significance, defining spatial neighborhoods and weights, and using statistics with spatial data. Advice on determining which statistical tool to use in a given situation is also provided.

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Product Details

  • ISBN-13: 9781589481169
  • Publisher: ESRI Press
  • Publication date: 7/1/2005
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 252
  • Sales rank: 377,533
  • Product dimensions: 7.58 (w) x 8.92 (h) x 0.63 (d)

Meet the Author

Andy Mitchell is a technical writer with more than 20 years experience in GIS. He is the author of "The ESRI Guide to GIS Analysis, Volume 1: Geographic Patterns and Relationships" and "Zeroing In" and the coauthor of "Getting Started with ArcGIS," He lives in Santa Barbara, California.

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Table of Contents

Preface vii
Acknowledgments ix
Chapter 1 Introducing Spatial Measurements and Statistics 1
What are spatial measurements and statistics? 2
Geographic analysis with statistics 6
Understanding data distributions 13
Chapter 2 Measuring Geographic Distributions 21
Why measure geographic distributions? 22
Finding the center 26
Measuring the compactness of the distribution 39
Measuring orientation and direction 45
References and further reading 61
Testing statistical significance 63
Chapter 3 Identifying Patterns 71
Why identify geographic patterns? 72
Using statistics to identify patterns 75
Measuring the pattern of feature locations 80
Measuring the spatial pattern of feature values 104
References and further reading 133
Defining spatial neighborhoods and weights 135
Chapter 4 Identifying Clusters 147
Why identify spatial clusters? 148
Using statistics to identify clusters 149
Finding clusters of features 152
Finding clusters of similar values 163
References and further reading 181
Using statistics with geographic data 183
Chapter 5 Analyzing Geographic Relationships 191
Why analyze geographic relationships? 192
Using statistics to analyze relationships 196
Identifying geographic relationships 203
Analyzing geographic processes 210
References and further reading 227
Data credits 229
Software credits 231
Index 235
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