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