Introduces the techniques and concepts of statistics in human and physical geography. This book explains not only how to apply quantitative tools but also why and how they work. It helps students gain important skills for utilizing conventional and spatial statistics in their own research, as well as for critically evaluating the work of others.
Introduces the techniques and concepts of statistics in human and physical geography. This book explains not only how to apply quantitative tools but also why and how they work. It helps students gain important skills for utilizing conventional and spatial statistics in their own research, as well as for critically evaluating the work of others.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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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