Statistical Methods for Geography
A Student’s Guide
- Peter A. Rogerson - Arizona State University, USA, State University of New York, Buffalo, USA, University of Buffalo, USA
Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module.
The fifth edition of this bestselling text includes:
· Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis.
· New examples from physical geography and additional real-world examples.
· Updated in-text and online exercises along with downloadable datasets.
This is the only text you’ll need for undergraduate courses in statistical analysis, statistical methods, and quantitative geography.
This book has become the gold standard for teaching statistical methods to geographers. With a friendly and accessible manner, the author covers introductory statistics while revealing the quirkiness of spatial data. It is suitable for a one-year undergraduate class in geography, and there is no better reference for students transitioning to graduate studies. While always including rich examples form human geography, this new edition includes more examples from physical geography that will appeal to a wider audience.
Absolutely fabulous resource that connects the utility of statistics for addressing geographic problems and issues. I have long used this text in teaching and research, beginning with the first edition in 2001. The continued revision and updating make this the premier text for introductory quantitative geographical inquiry.