(eBook PDF) An Introduction to Statistical Problem Solving in Geography 3rd Edition – Digital Ebook – Instant Delivery Download
Product details:
- ISBN-10 : 1478611197
- ISBN-13 : 978-1478611196
- Author: J. Chapman McGrew , Arthur J. Lembo , Charles B. Monroe
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.
Table contents:
Part 1: BASIC STATISTICAL CONCEPTS IN GEOGRAPHY
1. Introduction: The Context of Statistical Techniques
2. Geographic Data: Characteristics and Preparation
Part 2: DESCRIPTIVE PROBLEM SOLVING IN GEOGRAPHY
3. Descriptive Statistics and Graphics
4. Descriptive Spatial Statistics
Part 3: THE TRANSITION TO INFERENTIAL PROBLEM SOLVING
5. Basics of Probability and Discrete Probability Distributions
6. Continuous Probability Distributions and Probability Mapping
7. Basic Elements of Sampling
8. Estimation in Sampling
Part 4: INFERENTIAL PROBLEM SOLVING IN GEOGRAPHY
9. Elements of Inferential Statistics
10. Two-Sample and Dependent-Sample (Matched-Pairs) Difference Tests
11. Three-or-More-Sample Difference Tests: Analysis of Variance Methods
12. Categorical Difference Tests
Part 5: INFERENTIAL SPATIAL STATISTICS
13. General Issues in Inferential Spatial Statistics
14. Point Pattern Analysis
15. Area Pattern Analysis
Part 6: STATISTICAL RELATIONSHIPS BETWEEN VARIABLES
16. Correlation
17. Simple Linear Regression
Part 7: MULTIVARIATE PROBLEM-SOLVING IN GEOGRAPHY
18. Examples of Multivariate Problem-Solving in Geography
19. Multifactor Analysis: Two-Way Analysis of Variance
20. The Basics of Binary Logistic Regression
21. Estimation with Spatial Data
Part 8: EPILOGUE
22. Problem Solving and Policy Determination in Practical Geographic Situations
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