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Elementary Statistics for Geographers, Third Editionby James E. Burt
Synopses & Reviews
Book News Annotation:
As with previous editions, Burt (U. of Wisconsin-Madison), Barber (Queen's U., Ontario, Canada), and Rigby's (UCLA) updated statistics text for geography students provides an accessible algebra-based introduction with explanations that rely on fundamentals and theoretical underpinnings, to enable students to use statistical methods in their own research, critically evaluate the work of others, and to handle new concepts encountered in advanced classes and later reading. The topics have been extensively reorganized for the third edition to reflect current developments in the field, and a substantial amount of new material has been added, including new chapters covering graphical methods, spatial relationships, analysis of variance, extending regression analysis, spatial analysis, and more worked examples with accompanying graphics. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
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.
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 Queens 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.
Table of Contents
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
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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