9780128150436-0128150432-Spatial Regression Analysis Using Eigenvector Spatial Filtering

Spatial Regression Analysis Using Eigenvector Spatial Filtering

ISBN-13: 9780128150436
ISBN-10: 0128150432
Edition: 1
Author: Griffith, Daniel, Chun, Yongwan, Li, Bin
Publication date: 2019
Publisher: Academic Press
Format: Paperback 286 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9780128150436
ISBN-10: 0128150432
Edition: 1
Author: Griffith, Daniel, Chun, Yongwan, Li, Bin
Publication date: 2019
Publisher: Academic Press
Format: Paperback 286 pages

Summary

Acknowledged authors Griffith, Daniel, Chun, Yongwan, Li, Bin wrote Spatial Regression Analysis Using Eigenvector Spatial Filtering comprising 286 pages back in 2019. Textbook and eTextbook are published under ISBN 0128150432 and 9780128150436. Since then Spatial Regression Analysis Using Eigenvector Spatial Filtering textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

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.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book