Statistical Methods for Geography: A Student’s Guide Fourth Edition

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

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

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

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

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 ― drupal Published On: 2015-02-23

Level is too advanced for the year one course that I teach. — Dr Daniel McCarroll ― drupal Published On: 2015-07-06

Very nice book but not exactly what I was looking for – still researching — Dr Luana Russo ― drupal Published On: 2015-05-25

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 ― drupal Published On: 2015-04-24

I am sure that this book provides students with every thing they nee to know in both statics course. — Mr Abdallah Zaki ― drupal Published On: 2015-05-26

For those doing geographical related topics then this book provides good coverage of many useful statistical methods for research. — Mr Owen Lewis ― drupal Published On: 2015-02-17

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 ― drupal Published On: 2015-04-01

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 ― drupal Published On: 2015-05-18