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Multivariate Statistical Analysis for Geographers [Hardcover]

Daniel A. Griffith , Carl G. Amrhein


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Book Description

April 1997 013605692X 978-0136056928
Explains how to implement, interpret, and conduct diagnostics on the results of multivariate techniques. The book focuses on geo-referenced data analysis applications, with explicit diagnostics for the role played by spatial autocorrelation in multivariate analyses. It also aims to establish specific connections between popular spatial analysis and multivariate procedures, and outlines methodology for implementing spatial auto, logistic, and Poisson regressions.

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From the Publisher

This text explains how to implement, interpret, and conduct diagnostics on the results of multivariate techniques.

From the Back Cover

Key Benefit: This book explains how to implement, interpret, and conduct diagnostics on the results of multivariate techniques.Key Topics: Focuses on geo-referenced data analysis applications—with explicit diagnostics for the role played by spatial autocorrelation in multivariate analyses. Establishes specific connections between popular spatial analysis and multivariate procedures. Outlines methodology for implementing spatial auto-, logistic, and Poisson regressions.

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Amazon.com: 3.0 out of 5 stars  1 review
3.0 out of 5 stars A Classic before the days of automation. Jan. 24 2013
By Karen in VA - Published on Amazon.com
Format:Hardcover|Verified Purchase
I purchased this book for a deeper understanding of discriminant function analysis. It met that need certainly, but it was written in a time before computer software could handle much of the quantitative analysis geographers do.

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