Multivariate Statistical Analysis for Geographers
Published on 13. March 1997
Book
Hardback
345 pages
978-0-13-605692-8 (ISBN)
Description
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.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Width: 285 mm
Thickness: 20 mm
Weight
985 gr
ISBN-13
978-0-13-605692-8 (9780136056928)
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Schweitzer Classification
Content
I. INTRODUCTION AND REVIEW. 1. Elementary Statistics Background. 2. Information Content in Geo-Referenced Data. 3. Introduction to Matrix Algebra. 4. Multiple Linear Regression Analysis and Correlation Analysis. II. INSTANCES OF THE GENERAL LINEAR MODEL. 5. Multivariate Analysis of Variance. 6. Principal Components and Factor Analysis. 7. Discriminant Function Analysis. 8. Cluster Analysis. 9. Canonical Correlation Analysis. III. NONLINEAR AND CATEGORICAL DATA MODELING. 10. Nonlinear Regression Analysis. 11. Spatial Autoregressive Analysis. 12. Special Nonlinear Regression Applications in Spatial Analysis. Epilogue. Appendices. Index.