Spatial Regression Analysis Using Eigenvector Spatial Filtering

Table of Contents

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

Authors

Daniel Griffith University of Texas at Dallas, Texas, USA. Daniel A. Griffith is an Ashbel Smith Professor of Geospatial Information Sciences at the University of Texas at Dallas, affiliated professor in the College of Public Health at the University of South Florida, and adjunct professor in the Department of Resource Economics and Environmental Sociology at the University of Alberta. He holds degrees in Mathematics, Statistics, and Geography, and arguably is the inventor of Moran eigenvector spatial filtering. He is a two-time Fulbright Senior Specialist, an AAG Distinguished Research Honors awardee, and an elected fellow of the Royal Society of Canada, UCGIS, AAG, American Association for the Advancement of Science, American Statistical Association, Regional Science Association International, and Spatial Econometrics Association. Yongwan Chun University of Texas at Dallas, Texas, USA. 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. Bin Li Central Michigan University, Mt. Pleasant, MI, USA. Bin Li is a Professor of Geography at Central Michigan University. His academic interests are in GIS, cartography, spatial statistics, and economic geography. His research publications range from high performance processing geographic information services, to environmental modeling, geovisualization, and spatial statistics. He is a member of the editorial board of the Journal of Geospatial Information Science. He is active in international collaborations, serving as the co-director of the International Collaborative Center for Geocomputation Studies at Wuhan University, China.