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Statistical Methods for Geography

Statistical Methods for Geography
A Student’s Guide

Fourth Edition
Additional resources:

November 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

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