Statistical Methods for Geography.
Title:
Statistical Methods for Geography.
Author:
Rogerson, Peter A.
ISBN:
9781412933322
Personal Author:
Physical Description:
1 online resource (249 pages)
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.
Abstract:
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.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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