Statistical methods for geography : a student's guide
Author(s)
Bibliographic Information
Statistical methods for geography : a student's guide
SAGE, 2015
4th ed
- : pbk
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Note
Includes bibliographical references (p. [391]-396) and index
Description and Table of Contents
Description
How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it's a statistics 101 that includes definitions, examples, and exercise throughout.
Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module:
Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis.
Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques.
Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets.
It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.
Table of Contents
Introduction to Statistical Methods for Geography
Descriptive Statistics
Probability and Discrete Probability Distributions
Continuous Probability Distributions and Probability Models
Inferential Statistics: Confidence Intervals, Hypothesis Testing, and Sampling
Analysis of Variance
Correlation
Introduction to Regression Analysis
More on Regression
Spatial Patterns
Some Spatial Aspects of Regression Analysis
Data Reduction: Factor Analysis and Cluster Analysis
Epilogue
by "Nielsen BookData"