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Statistical Methods for Geography
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Statistical Methods for Geography
A Student’s Guide

Fourth Edition
Companion Website


© 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
 
Correlation
 
Introduction to Regression Analysis
 
More on Regression
 
Spatial Patterns
 
Some Spatial Aspects of Regression Analysis
 
Data Reduction: Factor Analysis and Cluster Analysis
 
Epilogue

Supplements

Rogerson 4e website

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

In this 4th edition of what is now becoming a classic text, Professor Rogerson provides us with the most up-to-date and comprehensive treatment of basic statistics for geographers.  He does so in a very user friendly manner with informative, real-world data sets that bring the statistics to life. This is a book I will certainly use for teaching undergraduate statistics and recommend it very highly.  A really useful text for which the author is to be congratulated.

Stewart Fotheringham
Arizona State University

At a time where spatial quantitative methods are of increasing importance to all concerned with geographical analysis, Rogerson’s book is a nicely structured, well explained and up-to-date introduction to and survey of statistical methods in geography and the reasoning behind the techniques.

Martin Henning
University of Gothenburg

Statistics has become critically important in contemporary geographical analysis. Statistical literacy is one of the graduate attributes with which universities prepare their geography students. Statistical Methods for Geography - A Student’s Guide by Peter A. Rogerson provides a fundamental and accessible statistics textbook tailored for geography with well-designed illustrations and exercises. It is suitable for students of geography at all levels.

Xuan Zhu
Monash University

In its previous editions,  this book provided an outstanding introduction to statistics for geographers or anyone working with geographical data. The explanations of techniques and the examples and practical exercises are all excellent. This latest edition now incorporates material on a number of new topics such as statistical power and ways of measuring distance, and also includes new and timely example datasets from a variety of geographical locations.  Its unique breadth of coverage of statistical ideas and examples make this an excellent choice as a key text for teaching quantitative techniques.  I have no hesitation in recommending this book.

Chris Brunsdon
National University of Ireland, Maynooth

This book remains the best available guide for any student seeking to use statistical methods to answer the question, ‘where?’. It provides a lucid, comprehensive and practical introduction that will be used widely across geography, and other social and environmental sciences.

Paul Longley
UCL

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