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: Bin Li, Daniel Griffith, Yongwan Chun
Publication date: 2019
Publisher: Academic Press
Format: Paperback 286 pages
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Book details

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

Summary

Spatial Regression Analysis Using Eigenvector Spatial Filtering (ISBN-13: 9780128150436 and ISBN-10: 0128150432), written by authors Bin Li, Daniel Griffith, Yongwan Chun, was published by Academic Press in 2019. With an overall rating of 3.6 stars, it's a notable title among other Urban & Regional (Economics) books. You can easily purchase or rent Spatial Regression Analysis Using Eigenvector Spatial Filtering (Paperback) from BooksRun, along with many other new and used Urban & Regional books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

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.

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