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E-grāmata: The Esri Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics

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  • Formāts: 250 pages
  • Izdošanas datums: 24-Nov-2020
  • Izdevniecība: Environmental Systems Research Institute Inc.,U.S.
  • ISBN-13: 9781589486096
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Learn how to get better answers in map analysis when you use spatial measurements and statistics.

Spatial measurements and statistics give you a powerful way to analyze geospatial data, but you don't need to understand complex mathematical theories to apply statistical tools and get meaningful results in your projects.

The Esri Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics, second edition, builds on Volume 1 by taking you to the next step of GIS analysis. Learn to answer such questions as, how are features distributed? What is the pattern created by a set of features? Where can clusters be found?

This book introduces readers to basic statistical concepts and some of the most common spatial statistics tasks: measuring distributions, identifying patterns and clusters, and analyzing relationships.

Updated with the latest and most useful software tools and revised explanations, each chapter in The Esri Guide to GIS Analysis, Volume 2 is organized to answer basic questions about the topic. Explore how spatial statistical tools can be applied in a range of disciplines, from public health to habitat conservation. Learn how to quantify patterns beyond visualizing them in maps. Examine spatial clusters through an updated chapter on identifying clusters.

Use The Esri Guide to GIS Analysis, Volume 2, second edition, to understand the statistical methods and tools that can move your work past mapping and visualization to more quantitative statistical assessment.



See why you don't need to understand complex mathematical theories to apply statistical tools in your GIS projects in The Esri Guide to GIS Analysis, Volume 2: Spatial Measurements and Statistics.

Foreword to the second edition vii
Foreword to the first edition ix
Acknowledgments xi
Chapter 1 Introducing Spatial Measurements and Statistics
1(24)
What are spatial measurements and statistics?
2(4)
Geographic analysis with statistics
6(9)
A Closer Look: Understanding Data Distributions
15(10)
Chapter 2 Measuring Geographic Distributions
25(60)
Why measure geographic distributions?
26(4)
Finding the center
30(15)
Measuring the compactness of the distribution
45(8)
Measuring orientation and direction
53(20)
A Closer Look: Testing Statistical Significance
73(12)
Chapter 3 Identifying Patterns
85(74)
Why identify geographic patterns?
86(2)
Using statistics to identify patterns
88(5)
Measuring the pattern of feature locations
93(28)
Measuring the spatial pattern of feature values
121(22)
A Closer Look: Defining Spatial Neighborhoods and Weights
143(16)
Chapter 4 Identifying Clusters
159(60)
Why identify spatial clusters?
160(1)
Using statistics to identify clusters
161(5)
Finding clusters of features
166(21)
Finding clusters of similar values
187(22)
A Closer Look: Using Statistics with Geographic Data
209(10)
Chapter 5 Analyzing Geographic Relationships
219(46)
Why analyze geographic relationships?
220(3)
Using statistics to analyze relationships
223(8)
Identifying geographic relationships
231(12)
Analyzing geographic processes
243(22)
Data credits 265(2)
Index 267
Andy Mitchell is a technical writer with more than 30 years experience in GIS. He is the author or co-author of several books, including The Esri Guide to GIS Analysis series and Zeroing In: Geographic Information Systems at Work in the Community.

Dr. Lauren Scott Griffin has more than 33 years of experience in software development and GIS at Esri.  She has been invited to deliver presentations, workshops, and short courses at the National Institute of Justice, Centers for Disease Control, Johns Hopkins, New York City Department of Health, University College London (UCL) Jill Dando Institute of Crime Science, London Health Protection Agency, Sault Ste. Marie Innovation Center, World Vision, and the University of Copenhagen Institute of Geography.  
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