Part I. General Topics: 1. The social sciences and spatial analysis 2. Defining neighbors via a spatial weights matrix 3. Spatial autocorrelation and statistical inference 4. Diagnosing spatial dependence 5. Diagnosing spatial dependence in the presence of covariates 6. Spatial lag and spatial error models 7. Spatial heterogeneity Part II. Advanced Topics: 8. Time-series-cross-section (TSCS) and panel data models 9. Advanced spatial models 10. Conclusion Part III. Appendices on Implementing Spatial Analyses: 11. Getting data ready for a spatial analysis 12. Spatial software 13. Web resources for spatial analysis 14. Glossary.
{{comment.content}}