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.
About the Author
Table of ContentsIntroduction to Statistical Analysis in GeographyProbability and Probability ModelsHypothesis Testing and SamplingAnalysis of VarianceCorrelationIntroduction to Regression AnalysisMore on RegressionSpatial PatternsSome Spatial Aspects of Regression AnalysisData Reduction Factor Analysis and Cluster Analysis
Most Helpful Customer Reviews
Anyone who is amazed and impressed with this book hasn't actually had to use it. Amazingly incomplete descriptions and definitions, with very frustrating editing errors; it causes more confusion than learning. There must be a better book than this on the subject!