Statistical Methods for Geography.

By: Rogerson, Peter AMaterial type: TextTextPublisher: London : SAGE Publications, 2001Copyright date: ©2001Description: 1 online resource (249 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9781412933322Subject(s): Geography -- Statistical methods | GeographyGenre/Form: Electronic books.Additional physical formats: Print version:: Statistical Methods for GeographyDDC classification: 910.0727 LOC classification: G70.3 -- .R64 2001ebOnline resources: Click to View
Contents:
Cover -- Contents -- Preface -- Chapter 1 - Introduction to Statistical Analysis in Geography -- Chapter 2 - Probability and Probability Models -- Chapter 3 - Hypothesis Testing and Sampling -- Chapter 4 - Analysis of Variance -- Chapter 5 - Correlation -- Chapter 6 - Introduction to Regression Analysis -- Chapter 7 - More on Regression -- Chapter 8 - Spatial Patterns -- Chapter 9 - Some Spatial Aspects of Regression Analysis -- Chapter 10 - Data Reduction: Factor Analysis and Cluster Analysis -- Epilogue -- Bibliography -- Index.
Summary: 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.
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Cover -- Contents -- Preface -- Chapter 1 - Introduction to Statistical Analysis in Geography -- Chapter 2 - Probability and Probability Models -- Chapter 3 - Hypothesis Testing and Sampling -- Chapter 4 - Analysis of Variance -- Chapter 5 - Correlation -- Chapter 6 - Introduction to Regression Analysis -- Chapter 7 - More on Regression -- Chapter 8 - Spatial Patterns -- Chapter 9 - Some Spatial Aspects of Regression Analysis -- Chapter 10 - Data Reduction: Factor Analysis and Cluster Analysis -- Epilogue -- Bibliography -- Index.

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.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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