Quantitative Geography
eBook - ePub

Quantitative Geography

The Basics

  1. 328 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Quantitative Geography

The Basics

About this book

Numerical data are everywhere. Charts and statistics appear not just in geography journals but also in the media, in public policy, and in business and commerce too. To engage with quantitative geography, we must engage with the quantitative methods used to collect, analyse, present and interpret these data.

Quantitative Geography: The Basics is the perfect introduction for undergraduates beginning any quantitative methods course. Written in short, user-friendly chapters with full-colour diagrams, the book guides the reader through a wide range of topics from the basic to the more advanced, including:
  • Statistics
  • Maths
  • Graphics
  • Models
  • Mapping and GIS
  • R
Closely aligned with the Q-Step quantitative social science programme, Quantitative Geography: The Basics is the ideal starting point for understanding and exploring this fundamental area of Geography.

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Yes, you can access Quantitative Geography by Richard Harris,Author in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geography. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Publisher Note
  4. Title Page
  5. Copyright Page
  6. Acknowledgements
  7. Contents
  8. Illustration List
  9. Table List
  10. About the Author
  11. Preface
  12. Part 1 About Quantitative Geography
  13. 1 Introducing Quantitative Geography
  14. 2 The Use and Abuse of Statistics
  15. Part 2 Foundations of Quantitative Geography
  16. 3 Principles of Statistics (Or, How Statistics Work)
  17. 4 Some Maths and Notation
  18. 5 Descriptive and Inferential Statistics
  19. 6 Statistical Testing, Statistical Significance and Why they are Contentious
  20. Part 3 Doing Quantitative Geography
  21. 7 Data Presentation and Graphics
  22. 8 Mapping and GIS
  23. 9 Looking at Relationships and Creating Models
  24. 10 Multiple Regression and Geography
  25. 11 Analysing Geographical Patterns and Differences
  26. 12 An Introduction to R
  27. Postscript
  28. References
  29. Index