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E-book
Author Chi, Guangqing, author.

Title Spatial regression models for the social sciences / Guangqing Chi, the Pennsylvania State University, USA, Jun Zhu, University of Wisconsin-Madison, USA
Published Thousand Oaks : SAGE Publications, Inc, 2019
Online access available from:
Sage Research Methods Online Books    View Resource Record  

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Description 1 online resource (272 pages)
Series Online access: SAGE SAGE Research Methods Core
Notes Preface<br />Chapter 1: Introduction<br /> Learning Objectives<br /> Spatial Thinking in the Social Sciences<br /> Spatial Effects<br /> Data Example of Population Change<br /> Structure of the Book<br /> Study Questions<br />Chapter 2: Exploratory Spatial Data Analysis<br /> Learning Objectives<br /> Exploratory Data Analysis<br /> Neighborhood Structure and Spatial Weight Matrix<br /> Spatial Autocorrelation, Dependence, and Heterogeneity<br /> Exploratory Spatial Data Analysis<br /> Study Questions<br />Chapter 3: Models Dealing with Spatial Dependence<br /> Learning Objectives<br /> Standard Linear Regression and Diagnostics for Spatial Dependence<br /> Spatial Lag Models<br /> Spatial Error Models<br /> Study Questions<br />Chapter 4: Advanced Models Dealing with Spatial Dependence<br /> Learning Objectives<br /> Spatial Error Models with Spatially Lagged Responses<br /> Spatial Cross-Regressive Models<br /> Multilevel Linear Regression<br /> Study Questions<br />Chapter 5: Models Dealing with Spatial Heterogeneity<br /> Learning Objectives<br /> Aspatial Regression Methods<br /> Spatial Regime Models<br /> Geographically Weighted Regression<br /> Study Questions<br />Chapter 6: Models Dealing with Both Spatial Dependence and Spatial Heterogeneity Learning Objectives<br /> Learning Objectives<br /> Spatial Regime Lag Models<br /> Spatial Regime Error Models<br /> Spatial Regime Error and Lag Models<br /> Model Fitting<br /> Data Example of Population Change<br />Chapter 7: Advanced Spatial Regression Models<br /> Learning Objectives<br /> Spatio-Temporal Regression Models<br /> Spatial Regression Forecasting Models<br /> Geographically Weighted Regression for Forecasting<br /> Study Questions<br />Chapter 8: Practical Considerations for Spatial Data Analysis<br /> Learning Objectives<br /> Data Example of Poverty in R<br /> General Procedure for Spatial Social Data Analysis<br />References<br />Appendix A: Spatial Data Sources<br />Appendix B: Results Using Forty Spatial Weight Matrices<br />Index<br />
Subject Social sciences -- Statistical methods.
Spatial analysis (Statistics)
Social sciences -- Statistical methods.
Spatial analysis (Statistics)
Form Electronic book
Author Zhu, Jun (Professor of statistics), author.
ISBN 9781071849071
9781544302072
1071849077
154430207X
1544302088
9781544302089