(Ebook) An Introduction to Statistical Problem Solving in Geography Third Edition by Charles Monroe, Chapman McGrew, ArthurLembo ISBN 978-1478611196 1478611197

(Ebook) An Introduction to Statistical Problem Solving in Geography Third Edition by Charles Monroe, Chapman McGrew, ArthurLembo ISBN 978-1478611196 1478611197

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Product details: 

ISBN 10:   1478611197

ISBN 13: 978-1478611196

Author: Charles B. Monroe, . Chapman McGrew Jr., Arthur J. Lembo Jr. 

Now in its third edition, this highly regarded text has firmly established itself as the definitive introduction to geographical statistics. Assuming no reader background in statistics, the authors lay out the proper role of statistical analysis and methods in human and physical geography. They delve into the calculation of descriptive summaries and graphics, the use of inferential statistics as exploratory and descriptive tools, ANOVA and Kruskal-Wallis tests and different spatial statistics to explore geographic patterns, inferential spatial statistics, and spatial autocorrelation and variograms.
The authors maintain an exploratory and investigative approach throughout, providing readers with real-world geographic issues and more than 50 map examples. Concepts are explained clearly and narratively without oversimplification. Each chapter concludes with a list of major goals and objectives. An epilogue offers over 150 geographic situations, inviting students to apply their new statistical skills to solve problems currently affecting our world. The accompanying CD provides data sets for many of the book's examples, appropriate for use with a variety of statistical and GIS software.

Table of contents: 

PART I – Basic Statistical Concepts in Geography
Chapter 1: Introduction – The Context of Statistical Techniques

1.1 The Role of Statistics in Geography

1.2 Examples of Statistical Problem Solving in Geography

Chapter 2: Geographic Data – Characteristics and Preparation

2.1 Selected Dimensions of Geographic Data

2.2 Levels of Measurement

2.3 Measurement Concepts

2.4 Basic Classification Methods

PART II – Descriptive Problem Solving in Geography
Chapter 3: Descriptive Statistics and Graphics

3.1 Measures of Central Tendency

3.2 Measures of Dispersion and Variability

3.3 Measures of Shape or Relative Position

3.4 Selected Issues: Spatial Data and Descriptive Statistics

Chapter 4: Descriptive Spatial Statistics

4.1 Spatial Measures of Central Tendency

4.2 Spatial Measures of Dispersion

PART III – The Transition to Inferential Problem Solving
Chapter 5: Basics of Probability and Discrete Probability Distributions

5.1 Basic Probability Processes, Terms, and Concepts

5.2 The Binomial Distribution

5.3 The Geometric Distribution

5.4 The Poisson Distribution

Chapter 6: Continuous Probability Distributions and Probability Mapping

6.1 The Normal Distribution

6.2 Probability Mapping

Chapter 7: Basic Elements of Sampling

7.1 Sampling Concepts

7.2 Types of Probability Sampling

7.3 Spatial Sampling

Chapter 8: Estimation in Sampling

8.1 Basic Concepts in Estimation

8.2 Confidence Intervals and Estimation

8.3 Geographic Examples of Confidence Interval Estimation

8.4 Sample Size Selection

PART IV – Inferential Problem Solving in Geography
Chapter 9: Elements of Inferential Statistics

9.1 Terms and Concepts in Hypothesis Testing: One-Sample Difference of Means Test

9.2 One-Sample Difference of Proportions Test

9.3 Selected Issues in Inferential Testing

Chapter 10: Two-Sample and Dependent-Sample (Matched-Pairs) Difference Tests

10.1 Two-sample Difference of Means Tests

10.2 Two-sample Difference of Proportions Test

10.3 Dependent-sample (Matched-Pairs) Difference Tests

Chapter 11: Three-or-More-Sample Difference Tests – Analysis of Variance Methods

11.1 Analysis of Variance (ANOVA)

11.2 Kruskal-Wallis Test

11.3 Example Applications in Geography

Chapter 12: Categorical Difference Tests

12.1 Goodness-of-Fit Tests

12.2 Contingency Table Analysis

PART V – Inferential Spatial Statistics
Chapter 13: General Issues in Inferential Spatial Statistics

13.1 Types of Spatial Pattern

13.2 The Concept of Autocorrelation

13.3 Who is My Neighbor?

Chapter 14: Point Pattern Analysis

14.1 Nearest Neighbor Analysis

14.2 Quadratic Analysis

Chapter 15: Area Pattern Analysis

15.1 Join Count Analysis

15.2 Moran’s I Index (Global)

15.3 Moran’s I Index (Local)

PART VI – Statistical Relationships Between Variables
Chapter 16: Correlation

16.1 The Nature of Correlation

16.2 Association of Interval-Ratio Variables

16.3 Association of Ordinal Variables

Chapter 17: Simple Linear Regression

17.1 Form of Relationship in Simple Linear Regression

17.2 Strength of Relationship in Simple Linear Regression

17.3 Residual or Error Analysis in Simple Linear Regression

17.4 Inferential Use of Regression

17.5 Example: Simple Linear Regression – Lake Effect Snow in Northeastern Ohio

Chapter 18: Examples of Multivariate Problem-Solving in Geography

18.1 The Basics of Multiple Regression

18.2 The Basics of Cluster Analysis

PART VII – Epilogue
Chapter 19: Problem Solving and Policy Determination in Practical Geographic Situations

19.1 Geographic Problem Solving and Policy Situations

19.2 Answers to Geographic Problems and Policy Situations

Appendix: Statistical Tables

Index

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Tags: Charles Monroe, Chapman McGrew, Arthur Lembo, An Introduction, Statistical Problem