Spatial Regression Analysis Using Eigenvector Spatial Filtering
eBook - ePub

Spatial Regression Analysis Using Eigenvector Spatial Filtering

  1. 286 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Spatial Regression Analysis Using Eigenvector Spatial Filtering

About this book

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter.This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre.- Reviews the uses of ESF across linear regression, generalized linear regression, spatial autocorrelation measurement, and spatially varying coefficient models- Includes computer code and template datasets for further modeling- Provides comprehensive coverage of related concepts in spatial data analysis and spatial statistics

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Yes, you can access Spatial Regression Analysis Using Eigenvector Spatial Filtering by Daniel Griffith,Yongwan Chun,Bin Li in PDF and/or ePUB format, as well as other popular books in Economics & Business General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2019
Print ISBN
9780128150436
eBook ISBN
9780128156926
Topic
Economics
Subtopic
Business General
Index
Economics

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Foreword
  7. Preface
  8. Chapter 1: Spatial autocorrelation
  9. Chapter 2: An introduction to spectral analysis
  10. Chapter 3: MESF and linear regression
  11. Chapter 4: Software implementation for constructing an ESF, with special reference to linear regression
  12. Chapter 5: MESF and generalized linear regression
  13. Chapter 6: Modeling spatial heterogeneity with MESF
  14. Chapter 7: Spatial interaction modeling
  15. Chapter 8: Space–time modeling
  16. Chapter 9: MESF and multivariate statistical analysis
  17. Chapter 10: Concluding comments: Toy dataset implementation demonstrations
  18. Epilogue
  19. Index