Economics

Spatial Regression Analysis Using Eigenvector Spatial Filtering

Name: Spatial Regression Analysis Using Eigenvector Spatial Filtering
Brand: Academic Press
SKU: 9780128150436
Price: 16575.00 INR
Availability: InStock
ISBN: 9780128150436

Contributor(s): Griffith, Daniel Author , Chun, Yongwan Author , Li, Bin Author Format: Paperback

Paperback · ISBN 9780128150436

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Key Specifications

ISBN	9780128150436
Publisher	Academic Press
Publication date	September 2019
Language	English
MRP	£118.00 GBP
Page count	288
Item weight	86 g

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.

Spatial Regression Analysis Using Eigenvector Spatial Filtering

Key Specifications

Griffith, Daniel Author

Chun, Yongwan Author

Li, Bin Author

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