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Informationen zum Autor NIGEL WALFORD Kingston University, london, UK Klappentext Practical Statistics for Geographers and Earth Scientists provides an introductory guide to the principles and application of statistical analysis in context. This book helps students to gain the level of competence in statistical procedures necessary for independent investigations, field-work and other projects. The aim is to explain statistical techniques using data relating to relevant geographical, geospatial, earth and environmental science examples, employing graphics as well as mathematical notation for maximum clarity. Advice is given on asking the appropriate preliminary research questions to ensure that the correct data is collected for the chosen statistical analysis method. The book offers a practical guide to making the transition from understanding principles of spatial and non-spatial statistical techniques to planning a series analyses and generating results using statistical and spreadsheet computer software.* Learning outcomes included in each chapter* International focus* Explains the underlying mathematical basis of spatial and non-spatial statistics* Provides an geographical, geospatial, earth and environmental science context for the use of statistical methods* Written in an accessible, user-friendly styleDatasets available on accompanying website at www.wiley.com/go/Walford Zusammenfassung Practical Statistics for Geographers and Earth Scientists is a text that all students can work through, regardless of their geography or earth science stream degree pathway and their existing mathematical knowledge. The text demystifies the mathematical component of statistics and presents these techniques in an easy-to-understand fashion. Case studies that illustrate the workings of each technique through photographs and diagrams will help students visualize some of the processes involved. Also covered in the book is a clear explanation of how statistical software packages work. Inhaltsverzeichnis PrefaceAcknowledgementsGlossarySECTION I I FIRST PRINCIPLESChapter 1 What's in a number?Chapter 2 Geographical data: quantity and contentChapter 3 Geographical data: collection and acquisitionChapter 4 Statistical measures (or quantities)Chapter 5 Frequency distributions, probability and hypothesesFlow diagramsSECTION II TESTING TIMESChapter 6 Parametric testsChapter 7 Non-parametric testsSECTION III FORMING RELATIONSHIPSChapter 8 CorrelationChapter 9 RegressionChapter 10 Correlation and regression of spatial dataSELECTED READINGINDEX...
