Spatial Analysis for the Social Sciences

ISBN-13: 9780521888264 / Angielski / Twarda / 2015 / 258 str.

David Darmofal

Opis

This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.

Recenzje

'In this detailed, thoughtful book, David Darmofal teaches us how to model data driven by geography, whether cholera outbreaks or presidential votes. This book maps out strategies to define spatial data and draw inferences. His work is thorough, his treatment of the subject is masterful, and students across the social sciences will benefit from this book. This is an exciting read for a methodologically sophisticated reader, providing fantastic illustrations.' Betsy Sinclair, Washington University, St Louis

Spis treści

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.