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Statistical Methods for Geography

Statistical Methods for Geography
A Student's Guide

Third Edition
  • Peter A Rogerson - State University of New York, Buffalo, USA, University of Buffalo, USA

368 pages | SAGE Publications Ltd

"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-organized 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 text has been fully revised and updated. It provides a comprehensive introduction to the principal methods and techniques that students need to understand in order to successfully complete a statistics module. It remains unique in the teaching literature by being a primer on statistical methods written especially for students of geography, using spatial and geographical examples.

Features new to this edition include:

  • Further introductory material
  • Updated exercises and illustrative examples are provided at the end of each chapter 
  • Downloadable datasets
  • A fully functioning web page with Excel workbook excercises and PowerPoint illustrations

A companion website with resources for instructors and students is available at

Preface to the Second Edition

Preface to the Third Edition

Introduction to Statistical Methods for Geography
Descriptive Statistics
Probability and Discrete Probability Distributions
Continuous Probability Distributions and Probability Models
Inferential Statistics: Confidence Intervals, Hypothesis Testing and Sampling
Analysis of Variance
Introduction to Regression Analysis
More on Regression
Spatial Patterns
Some Spatial Aspects of Regression Analysis
Data Reduction: Factor Analysis and Cluster Analysis
Appendix A: Statistical Tables
Table A.1 Random Digits

Table A.2 Normal Distribution

Table A.3 Student's t-Distribution

Table A.4 Cumulative t-Distribution

Table A.5 F-Distribution

Table A.6 X2 Distribution

Appendix B: Mathematical Conventions and Notation
B.1 Mathematical Conventions

B.2 Mathematical Notation

Appendix C: Review and Extension of Some Probability Theory
C.1 Expected Values

C.2 Variation of a Random Variable

C.3 Covariance of Random Variables


Although this text contains several mistakes with respect to formulae, it is a concise and appropriate text book for an introductory course in statistics for geography. There is definitely a good selection of descriptive and inferential statistics, but like most texts fails to provide a good overview of non-parametric tests. Overall, a good complimentary book for the course. It will be recommended for stronger students and those who wish to attend graduate school as it does cover a few advance techniques in spatial analysis.

Mr Robert Moriarity
Geography, Planning and Environment, Concordia University
November 3, 2010

This will certainly be a useful text for section of course covering stats. Written in a clear style with plenty of good empirical material to outline practical use of techniques.

Will request copies to be ordered for University Library.

Dr Colm Breathnach
Geography , Strathclyde University
June 28, 2010

As well as providing a solid statistical foundation, several of the examples in this book also remind us that 'geography matters'. Its coverage of linear regression using categorical dependent variables and of logistic regression sets it apart from other introductory level statistical texts in Geography.

Geography , Dundee University
June 14, 2010

Everything students need to know. Comprehensive and readable.

Dr Amini Kamete
Environment & Natural Resources, University of Wales, Bangor
June 1, 2010

A revised 3rd edition of an excellent "classic" textbook.
Congratulations to Peter Rogerson for making stats so accessible.

Dr Seraphim Alvanides
Department of Geography, Newcastle University
May 28, 2010

A good introduction to statistical methods, particularly useful for its coverage of distinctive geographical applications

Dr Richard Essery
School of GeoSciences, Edinburgh University
May 10, 2010

Seems a very relevant book. Need more time to see what parts could be used, compared with some other textbooks we use till now

Mr Marinus De Bakker
Faculty of Spatial Sciences, Groningen University (RuG)
May 5, 2010

This is a useful book for Dissertation students, and I will be recommending it to students in my introductory materials and on an ad hoc basis when students seek advice.

Dr Peter Knight
School of Earth Sciences & Geography, Keele University
February 21, 2010

New to the Third Edition:

- further introductory material

- updated exercises and illustrative examples

- updated downloadable datasets

Sample Materials & Chapters

Chapter One

Chapter Two

Peter A. Rogerson

Peter A. Rogerson is SUNY (State University of New York) Distinguished Professor in the Department of Geography at the University at Buffalo, Buffalo, New York, USA. He also holds an adjunct appointment in the Department of Biostatistics. More About Author