Description
Book SynopsisStatistics in Geography has established itself as the best introductory textbook on the subject: the author makes statistical concepts and techniques intellible and their applications in a wide variety of problems comprehensible, even exciting. The main feature of this much-awaited new edition is a set of 17 computer programs (with sample outputs) that cover nearly all the statistical techniques described. These have been carefully written to be user-friendly in an elementary subset of Basic to make them simple to implement on most micro computers. This means students can be more adventurous in their applications and interpretations of statistical techniques. The author has, at the same time, retained all the worked examples in the book so that the reader can gain insight into the logic of the methds by working through them by hand. These, together with problems of various levels of complexity plus comprehensive answers at the back of the book, provide the student with a clear a
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Reviews of the first edition
‘… the book is one of the most successful among statistical geography texts in achieving its aim of a clear, painless, and well-illustrated introduction to difficult concepts.’ Geographical Analysis
‘Highly recommended for its clarity and exemplification … the author and publishers have certainly made the text clear, easily readable an interesting with many good figures and tables, worked examples and directly related exercises with 18 pages of answers and explanations to the latter.’ Royal Statistical Society
‘The features I particularly like are the number of examples and class exercises, the constant attempts to relate each method back to statistical theory, and the useful diagrams. The author succeeds at showing why statistical tests have sampling distributions, produces some outstanding diagrams to illustrate linear regression, and has a fine set of statistical tables.’ Journal of Geography
Table of ContentsPreface of the Second Edition.
Preface of the First Edition.
Statistical Concepts.
Description.
Samples and Sampling.
Comparisons.
Relationships.
Trends.
Spatial Statistics.
References.
Appendix A: Answers to Exercises.
Appendix B: Probability Tables.
Appendix C: Tables of Critical Values.
Appendix D: Random Numbers.
Appendix E: Data Matrix.
Appendix F: Notes for Programmers.
Index.
