Statistical Methods for Geography

By Peter A. Rogerson and Peter A Rogerson

Book Overview

Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. It provides an integrated overview of spatial data and spatial data analysis. Key features include: - An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography - An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in areal data. The text concludes with an overview of data reduction techniques - Unlike other introductory primers, Statistical Methods for Geography includes self-assessment exercises - with downloadable data sets - at the end of each chapter. The use and application of statistical software - including SPSS - is discussed throughout. Statistical Methods for Geography will be required reading for undergraduate modules in statistical analysis and a useful prcis of techniques for post-graduate students "Peter Rogerson has provided us with an accessible introduction to the main statistical procedures used by geographers, along with valuable illustrations of how these can be applied using SPSS for Windows. As a primer in statistical analysis for geographers it will be widely used and appreciated." - Professor Ron Johnston, School of Geographical Sciences, University of Bristol

• Format: Paperback
• Language: English
• ISBN: 0761962883
• ISBN13: 9780761962885
• Release Date: January 2001
• Publisher: SAGE Publications, Limited
• Length: 248 Pages
• Weight: 0.90 lbs.
• Dimensions: 9.3" x 0.8" x 6.8"

Customer Reviews

Statistical mehods for geography without geostatistics

As its name say, the book covers aspects about statistic in geography, but not about geostatistics. In other hand, is like a basic statistic book with examples gotten from geography. The basic concepts are there: variables, correlation, regression, variance, hypothesys proofs. All of them explained with spatial cases. The explanation along the book are clear for a person with college statistical knowledge. The problem that I can see with this text is that book not talk about the importance of geoestatistical methods. There is not in any Rogerson book line nothing about autocorrelation, variogram, kriging interpolation and the like. Some of that could improve the book because is important to know that statistical methods some times are out of order, in spetcial when variables are regionalized variables and keep betwen themself some grade of autocorrelation. This phenomena is not studied and is very important in the quantitative geography. The book is good for the items wich contains. I use it for my class.

A very good book

This is a very good statistic book. The book provides detailed information about applying statistics in geographical context. The book is easy to read, informative but not too extensive. Enough details are given for each concepts. The examples are extremely helpful in understand the principles of spatial issues. Some ideas in this book are creative and easy to use. It has it value in practise too. If you are interested in doing spatial statistics. This book will be a wonderful start point.