Statistical Techniques in Geographical Analysis, Third Edition

Applying statistical techniques for geogrphical data collection and analysis can be a difficult and challenging process, especially for students who have not studied formal mathematics for many years. Assumning no more knowledge than basic GCSE maths, this book provides a gentle introduction on how to confidently approach a wide range of methids and apply them in either one or both of the leading software statistical packages, SPSS and MINITAB. Statistical Techniques in Geographic Analysis provides a significant number of practical examples tht ensure understanding and promote further development. The book covers the four key areas of univariate, bivariate, multivariate and spatial techniques. Statistical Techniques in Geographic Analysis also includes a CDROM that offers students the chance to practice their application of each method in either MINITAB or SPSS.

This volume includes changes in the switch from DOS-based to Windows-based, menu-driven forms of SPSS and MINITAB is the most important. The other change shows availability of data in digital form from websites or via CD-ROMs. The book is useful for teachers and students.

1. Introduction 2. An introduction to mathematical statistics and computer applications 3. Geographical sources, data collection and data handling 4. Measurement and descriptive statistics 5. Probability and probability distributions 6. Samples and populations 7. Testing hypotheses using parametric and non-parametric data 8. Methods of correlation analysis 9. Simple linear and non-linear regression 10. Multiple regression and correlation 11. Factor analysis and related techniques 12. Cluster analysis 13. Spatial indices and pattern analysis

Dennis Wheeler, Gareth Shaw and Stewart Barr