Spatial Regression Analysis Using Eigenvector Spatial Filtering
Academic Press Inc (Verlag)
978-0-12-815043-6 (ISBN)
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.
Dr. Daniel A. Griffith is an Ashbel Smith Professor Emeritus of Geospatial Information Sciences at the University of Texas at Dallas, United States; a past affiliated Professor in the College of Public Health at the University of South Florida, United States; and an Adjunct Professor in the Department of Resource Economics and Environmental Sociology at the University of Alberta, Canada. He specializes in spatial statistics, quantitative-urban-economic geography, and urban public health. Yongwan Chun is an Associate Professor of Geospatial Information Sciences at the University of Texas at Dallas. His research interests lie in spatial statistics and GIS, focusing on urban issues, including population movement, environment, health, and crime. His research has been supported by the US National Science Foundation, and the US National Institutes of Health, among others. He has over 50 publications, including books, journal articles, book chapters, and conference proceedings. Today, Dr. Li’s research is focused on statistics and machine learning. He has published >75 peer reviewed research papers with >1,300 citations of his work.
1. Spatial autocorrelation2. An introduction to spectral analysis3. MESF and linear regression4. Software implementation for constructing an ESF, with special reference to linear regression5. MESF and generalized linear regression6. Modeling spatial heterogeneity with MESF7. Spatial interaction modeling 8. Space-time modeling9. MESF and multivariate statistical analysis10. Concluding comments: Toy dataset implementation demonstrations
| Erscheinungsdatum | 20.09.2019 |
|---|---|
| Verlagsort | San Diego |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 450 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| Wirtschaft ► Volkswirtschaftslehre | |
| ISBN-10 | 0-12-815043-2 / 0128150432 |
| ISBN-13 | 978-0-12-815043-6 / 9780128150436 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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