Spatial Analysis
eBook - PDF

Spatial Analysis

A Guide For Ecologists

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Spatial Analysis

A Guide For Ecologists

About this book

Nowadays, ecologists worldwide recognize the use of spatial analysis as essential. However, because of the fast-growing range of methods available, even an expert might occasionally find it challenging to choose the most appropriate one. Providing the ecological and statistical foundations needed to make the right decision, this second edition builds and expands upon the previous one by: • Encompassing the basic methods for spatial analysis, for both complete census and sample data • Investigating updated treatments of spatial autocorrelation and spatio-temporal analysis • Introducing detailed explanations of currently developing approaches, including spatial and spatio-temporal graph theory, scan statistics, fibre process analysis, and Hierarchical Bayesian analysis • Offering practical advice for specific circumstances, such as how to analyze forest Permanent Sample Plot data and how to proceed with transect data when portions of the data series are missing. Written for graduates, researchers and professionals, this book will be a valuable source of reference for years to come.

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Yes, you can access Spatial Analysis by Mark R. T. Dale,Marie-Josée Fortin in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Ecology. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half-title
  3. Frontispiece
  4. Title page
  5. Copyright information
  6. Dedication
  7. Table of contents
  8. Preface
  9. 1 Spatial concepts and notions
  10. 2 Ecological and spatial processes
  11. 3 Points, lines and graphs
  12. 4 Spatial analysis of complete point location data
  13. 5 Contiguous units analysis
  14. 6 Spatial analysis of sample data
  15. 7 Spatial relationship and multiscale analysis
  16. 8 Spatial autocorrelation and inferential tests
  17. 9 Spatial partitioning: spatial clusters and boundary detection
  18. 10 Spatial diversity analysis
  19. 11 Spatio-temporal analysis
  20. 12 Closing comments and future directions
  21. References
  22. Index