Statistical Methods for Geography: A Students Guide

About this book

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 its 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.