Elementary Statistics for Geographers, Third Edition / Edition 3

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Statistics courses frequently gloss over the foundations of statistical analysis and concentrate solely on method. As a result, students are able to perform the techniques, but do not know when to utilize them or how to interpret results incorporating statistical methods. Designed to give geography students a solid understanding of key statistical concepts, this in-depth text both presents basic techniques and fully explores their meaning and importance. Structured for optimal classroom use, the book includes helpful student exercises with answer keys. Four broad sections provide comprehensive coverage of descriptive statistics, inferential statistics, statistical relationships between two variables, and modern methods of analysis.

The book contains black-and-white illustrations.

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Editorial Reviews

From the Publisher

"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
"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

"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

New edition of a handbook that takes into consideration the dialectic between continuity and change in personality functioning across situations and time. It contains an introductory chapter on the history of the field, followed by sections on major theoretical perspectives, the interface with other fields, and specific research topics such as temperament, the unconscious, naturalizing the self, personal narratives and the life story, personality and motivation, emotion, personality and health, attribution, creativity and genius, fields of interpersonal behavior, principles for personality assessment, and stress, coping, and self-regulatory processes. Edited by Pervin (psychology, Rutgers U.) and John (psychology, U. of California, Berkeley). Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9781572304840
  • Publisher: Guilford Publications, Inc.
  • Publication date: 4/3/2009
  • Edition description: Third Edition
  • Edition number: 3
  • Pages: 653
  • Sales rank: 1,332,623
  • Product dimensions: 6.40 (w) x 9.30 (h) x 1.40 (d)

Meet 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.

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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

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