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.
"synopsis" may belong to another edition of this title.
James Burt is Professor of Geography at the University of Wisconsin-Madison, where he teaches climatology, quantitative methods, and computer cartography. He papers have appeared in such publications as «MDUL»Climatic Change«MDNM»«MDNM», «MDUL»Geographical Analysis«MDNM», «MDUL»Physical Geography«MDNM», «MDUL»Water Resources Research«MDNM», «MDUL»Publications in Climatology«MDNM», and the «MDUL»Annals of the Association of American Geographers«MDNM».
1. Statistics and Geography
I. Descriptive Statistics
2. Univariate Descriptive Statistics
3. Descriptive Statistics for Spatial Distributions
4. Concepts of Time Series Analysis
II. Inferential Statistics
5. Elementary Probability Theory
6. Random Variables and Probability Distributions
7. Sampling
8. Parametric Statistical Inference: Estimation
9. Parametric Statistical Inference: Hypothesis Testing
10. Parametric Statistical Inference: Two Sample Tests
11. Nonparametric Statistics
III. Statistical Relationships between Two Variables
12. Correlation Analysis
13. Introduction to Regression Analysis
14. Inferential Aspects of Regression Analysis
15. Time Series Analysis
16. Exploratory Data Analysis
17. Computer-Intensive Methods
"About this title" may belong to another edition of this title.
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