Description: Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. It provides an integrated overview of spatial data and spatial data analysis.

Key features include:
-- An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation -- the principal methods of statistical inference used in geography
-- An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in areal data. The text concludes with an overview of data reduction techniques
-- Unlike other introductory primers, Statistical Methods for Geography includes self-assessment exercises -- with downloadable data sets -- at the end of each chapter. The use and application of statistical software -- including SPSS -- is discussed throughout

Statistical Methods for Geography will be required reading for undergraduate modules in statistical analysis and a useful precis of techniques for post-graduate students.

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