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Statistical Methods for Geography

Statistical Methods for Geography
A Student’s Guide

Fourth Edition

© 2014 | 424 pages | SAGE Publications Ltd
How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout.

Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module:
  • Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis.
  • Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques.
  • Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets.
It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.
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


Click for online resources

The website offers a range of interactive teaching and learning materials for both lecturers and students, including:

  • Audio slidecasts explaining the key concepts
  • Excercises with solutions for both students and instructors
  • Datasets: Each dataset utilised in the text is included with a description of its format and fields

This course book provides basic knowledge about empirical methods and statistical approaches for geography students. This book has a geographical and spatial point of view for general statistical methods. Therefore, this book goes a little bit further than generic statistical books. This textbook starts with generic statistical methods. Subsequently, the main point for geography students is the spatial approach of the book. Therefore, my opinion is that this book is applicable reading for geography students to get familiar with quantitative methods in their own field - in spatial context.

Dr Petteri Muukkonen
Department of Geography, University of Helsinki
November 20, 2015

It is a very "student friendly" guide of the basic statistical methods. I really appreciate that the book is also using Excel in few chapters because it is, unfortunately, the most available "statistical" software for students (our university has not got a multi license for SPSS). It is also very valuable that Rogerson's textbook is truly for geographers, dealing with very useful tool of geographically weighted regression.

Mr David Fiedor
Geography , Palacky University in Olomouc
September 10, 2015

Level is too advanced for the year one course that I teach.

Dr Daniel McCarroll
Department of Geography, Swansea University
July 6, 2015

I am sure that this book provides students with every thing they nee to know in both statics course.

Mr Abdallah Zaki
Physical Geography, Ain Shams University
May 26, 2015

Very nice book but not exactly what I was looking for - still researching

Dr Luana Russo
Department of Political Science, Maastricht University
May 25, 2015

A very useful textbook, well-organized, well-written and well-illustrated , includes plenty of helpful examples and exercises to practice and improve skills in statistical methods.

Professor Thomas Feldhoff
Interdisciplinary Centre for East Asian Studies, J.W.Goethe-University Frankfurt
May 18, 2015

This book is ideal for undergraduates who study geography. I will adopt it as an essential textbook for the course I am teaching.

Dr Zhiqiang Feng
School of Geography and Geosciences, St Andrews University
April 24, 2015

Key concepts and principles are explained in a quite stimulating way, and I believe that this book will therefore be a valuable source for students. The idea of related datasets and exercises is nicely done.

Professor Sven Fuchs
Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences
April 1, 2015

I think this is an excellent book. As an introduction to spatial statistics I will certainly be recommending it to my students. Perhaps the only criticism I have is that the examples are in SPSS - this is fine and I can see why this is, but there is a general shift towards R these days for statistical (and spatial) analysis, so subsequent editions might like to reflect this.

Dr Adam Dennett
Centre for Advanced Spatial Analysis, University College London
February 23, 2015

For those doing geographical related topics then this book provides good coverage of many useful statistical methods for research.

Mr Owen Lewis
SWANSEA BUSINESS SCHOOL, University of Wales Trinity SaintDavid
February 17, 2015

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