Statistical techniques in geographical analysis / Dennis Wheeler, Gareth Shaw, Stewart Barr

Incluye bibliografía: páginas 335-337 e índice: páginas 339-342

An Introduction to Mathematical Statistics and Computer Applications.. Geographical Sources, Data Collection and Data Handling.. Measurement and Descriptive Statistics.. Probability and Probability Distributions.. Samples and Populations.. Testing Hypotheses with One or More Samples.. Methods of Correlation Analysis.. Simple Linear Regression.. Nonlinear Regression.. Measuring Regression and Correlation.. Factor Analysis and Related Techniques.. Spatial Indices and Pattern Analysis.. Appendices.. Index

This CD has been compiled to supplement, but not to supplant, the book's printed text. As outlined in Figure 1.1, it contains a variety of material, from a list of useful website addresses (see below), through sample data sets, to supplementary information on using specific techniques in SPSS and MINITAB. For each technique, such as correlation or regression, either the SPSS or the MINITAB procedures are described fully in the text, but only rarely has space permitted both to be introduced. Those 'partner' procedures that have been omitted from the text are included in the CD. By this means the CD and text should together provide information on both SPSS and MINITAB procedures for each of statistical techniques that we introduce. All of these techniques-based files are stored in PDF format, and the descriptions of procedures that they contain will be of particular service to those who can call only upon one of the two systems adopted by this text. The theory behind the techniques is not, however, repeated in the CD, and all such information can be found in the textbook.

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. eng