Spatial and Spatio-Temporal Geostatistical Modeling and Kriging
eBook - ePub

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

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

Spatial and Spatio-Temporal Geostatistical Modeling and Kriging

About this book

Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R.

This book includes:

  • Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods.
  • The most innovative developments in the different steps of the kriging process.
  • An up-to-date account of strategies for dealing with data evolving in space and time.
  • An accompanying website featuring R code and examples

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Yes, you can access Spatial and Spatio-Temporal Geostatistical Modeling and Kriging by José-María Montero,Gema Fernández-Avilés,Jorge Mateu in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2015
Print ISBN
9781118413180
eBook ISBN
9781118762424
Edition
1
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover
  2. Wiley Series in Probability and Statistics
  3. Title Page
  4. Copyright
  5. Table of Contents
  6. Dedication
  7. Foreword by Abdel H. El-Shaarawi
  8. Foreword by Hao Zhang
  9. List of figures
  10. List of tables
  11. About the companion website
  12. Chapter 1: From classical statistics to geostatistics
  13. Chapter 2: Geostatistics: preliminaries
  14. Chapter 3: Structural analysis
  15. Chapter 4: Spatial prediction and kriging
  16. Chapter 5: Geostatistics and spatio-temporal random functions
  17. Chapter 6: Spatio-temporal structural analysis (I): empirical semivariogram and covariogram estimation and model fitting
  18. Chapter 7: Spatio-temporal structural analysis (II): theoretical covariance models
  19. Chapter 8: Spatio-temporal prediction and kriging
  20. Chapter 9: An introduction to functional geostatistics
  21. Appendix A: Spectral representations
  22. Appendix B: Probabilistic aspects of Uij=Z(si)−Z(sj)
  23. Appendix C: Basic theory on restricted maximum likelihood
  24. Appendix D: Most relevant proofs (Chapter 7)
  25. Bibliography and further reading
  26. Index
  27. Wiley Series in Probability and Statistics: Established by Walter A. Shewhart and Samuel S. Wilks
  28. End User License Agreement