Statistical Methods for Geography: A Student's Guide

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SAGE Publications, Feb 11, 2010 - Social Science - 348 pages
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'This book provides students with everything they need to know in both a basic statistics course and also in introductory courses focused on spatial data analysis. It is extremely well-written, well-organised and has plenty of easily understood examples - really the ideal textbook. I recommend it extremely highly' - Stewart Fotheringham, Director, National Centre for Geocomputation National University of Ireland Maynooth

The Third Edition of this bestselling student favourite has again been revised and updated to provide an expert introduction to the principal methods and techniques needed to understand a statistics module.

Features new to this edition include:

- further introductory material

- updated exercises and illustrative examples

- updated downloadable datasets

 

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Contents

1 Introduction to Statistical Methods for Geography
1
2 Descriptive Statistics
24
3 Probability and Discrete Probability Distributions
53
4 Continuous Probability Distributions and Probability Models
80
Confidence Intervals Hypothesis Testing and Sampling
107
6 Analysis of Variance
157
7 Correlation
183
8 Introduction to Regression Analysis
201
10 Spatial Patterns
257
11 Some Spatial Aspects of Regression Analysis
281
Factor Analysis and Cluster Analysis
297
Epilogue
316
Appendix
318
Bibliography
338
Index
343
Copyright

9 More on Regression
225

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About the author (2010)

I am Professor of Geography and Biostatistics at the University at Buffalo. My research interests are in the area of demography and population change, epidemiology, spatial statistics, and spatial analysis. My current work is focused upon the development of new methods for the quick detection of newly emergent clusters in geographic data (for example, how does one determine as quickly as possible whether there is a new cluster of crime or disease?).

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