Statistical Methods for Geography: A Student′s Guide

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.

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.