Geography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and to solve realistic geographic problems. This book is designed to provide a comprehensive and understandable introduction to statistical methods in a practical, problem solving framework. Students who use this text in a spatial analysis or statistical methods course will acquire a well-grounded foundation and feel comfortable in applying statistical techniques in research problems or situations that they might encounter in their subsequent geographic education and careers.

This book is targeted for undergraduate geography majors and beginning graduate students who do not have a strong background in statistical approaches to geographic problem solving.

Contenuti:

Part 1: Basic Statistical Concepts in Geography

1 Introduction: The Context of Statistical Techniques

2 Geographic Data: Characteristics and Preparation

Part II: Descriptive Problem Solving in Geography

3 Descriptive Statistics

4 Descriptive Spatial Statistics

Part III: The Transition to Inferential Problem Solving

5 Probability

6 Basic Elements of Sampling

7 Estimation in Sampling

Part IV: Inferential Problem Solving in Geography

8 Elements of Inferential Statistics

9 Two-Sample and Dependent-Sample Difference Tests

10 Three-or-More-Sample Difference Tests: Analysis of Variance Methods

11 Goodness-of-Fit and Categorical Difference Tests

12 Inferential Spatial Statistics

13 Correlation

14 Regression

Part VI: Epilogue

15 Epilogue: Geographic Problem Solving in Practical Situations

Appendix: Statistical Tables

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