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Spatial Regression Analysis Using Eigenvector Spatial Filtering (Paperback)
Loot Price: R3,050
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Spatial Regression Analysis Using Eigenvector Spatial Filtering (Paperback)
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Total price: R3,070
Discovery Miles: 30 700
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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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