Elementary Statistics for Geographers, Third Edition

Widely adopted, this uniquely comprehensive text introduces the techniques and concepts of statistics in human and physical geography. Unlike other texts that gloss over the conceptual foundations and focus solely on method, the book explains not only how to apply quantitative tools but also why and how they work. Students gain important skills for utilizing both conventional and spatial statistics in their own research, as well as for critically evaluating the work of others. Most chapters are self-contained in order to provide maximum flexibility in course design. Requiring no math beyond algebra, the book is well suited for undergraduate and beginning graduate-level courses. Helpful features include chapter summaries, suggestions for further reading, and practice problems at the end of each chapter. New to This Edition *Restructured and updated to reflect current developments in the field. *Five entirely new chapters cover graphical methods, spatial relationships, analysis of variance, extending regression analysis, and spatial analysis. *Features even more worked examples, many with accompanying graphics. *The companion website offers datasets and solutions to selected end-of-chapter exercises.

Table of Contents:
I. Introduction 1. Statistics and Geography II. Descriptive Statistics 2. Displaying and Interpreting Data 3. Describing Data with Statistics 4. Statistical Relationships III. Inferential Statistics 5. Random Variables and Probability Distributions 6. Sampling 7. Point and Interval Estimation 8. One-Sample Hypothesis Testing 9. Two-Sample Hypothesis Testing 10. Nonparametric Methods 11. Analysis of Variance 12. Inferential Aspects of Linear Regression 13. Extending Regression Analysis IV. Patterns in Space and Time 14. Spatial Patterns and Relationships 15. Time Series Analysis Appendix: Statistical Tables

About the Author :
James E. Burt is Professor and former chair of Geography at the University of Wisconsin-Madison. His current research focuses on development of expert system and statistical approaches for quantitative prediction of soils information. Gerald M. Barber is Associate Professor of Geography and teaches introductory and advanced courses in statistics at Queen’s University in Kingston, Ontario, Canada. In addition, he is the director of the program in Geographic Information Science and runs the GISLAB. His principal interests are in the application of statistical and optimization models within GIS. David L. Rigby is Professor of Geography and Statistics at the University of California, Los Angeles. His research interests include regional growth, technological change, evolutionary economic dynamics, and the impacts of globalization and trade on wage inequality.

Review :
"It has been difficult to find a good introductory statistics text that can be used with a class consisting of both physical and social science students. This textbook meets that demand by incorporating a good number of examples from both aspects of the discipline and including thorough discussions of introductory spatial statistics... Should prove useful as both a classroom textbook and a basic statistical reference." - D.R. Legates, University of Oklahoma "Burt and Barber have extended and modernized a text that has long served geography students as a methodological foundation This text will find its place in upper-level undergraduate courses and first-year graduate study for those with limited statistics backgrounds." - Randall W. Jackson, Ohio State University "For more than 15 years, I've used prior editions of this text to teach statistics, because it explains difficult but crucial concepts--such as the central limit theorem--clearly and in depth. I also like the geographical examples and the inclusion of descriptive spatial and temporal statistics, such as moving averages and location quotients. Now, with David Rigby on board and a full-fledged treatment of multiple regression, spatial autocorrelation, and spatial regression, the best book just got even better." - Michael Kuby, School of Geographical Sciences, Arizona State University, USA "A comprehensive introduction to statistical techniques and their appropriate use and application in geographic research. The book is unique in its treatment of both spatial and temporal data-analysis issues, and its methods are grounded in interesting research settings. Statistical concepts are presented in a clear and effective manner, with attention given to the theories and assumptions underpinning the techniques. Instructors will appreciate the structured exercises appearing at the end of each chapter, many of which make use of downloadable datasets. This appealing book is especially well suited as a text for senior undergraduate and beginning graduate geography courses in statistical analysis." - Mark W. Horner, Department of Geography, Florida State University, USA "It is hard to imagine a more comprehensive introductory treatment of geographic statistics. Elementary Statistics for Geographers has an excellent mix of quantitative material, problem-solving techniques, and examples. The examples, both numerical and graphical, clearly demonstrate the utility and limitations of the methods presented. Early chapters on the nature of geographic data, exploratory data analysis, and bivariate statistical relationships provide a strong foundation for the rigorous chapters that follow. The range and depth of the third edition are outstanding, with new sections on ANOVA, spatial statistics, and nonparametric statistics. This book will be equally valuable as a text for advanced undergraduates and beginning graduate students and as a general reference." - Scott M. Robeson, Chair, Department of Geography, Indiana University, USA