Spatial Analysis for the Social Sciences

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

List of contents

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.

About the author

David Darmofal is an Associate Professor of Political Science at the University of South Carolina. His research focuses on spatial analysis and political geography and has appeared in a variety of journals including the American Journal of Political Science, the Journal of Politics, and Political Geography. He has received best article awards from the Journal of Politics and Political Research Quarterly. He teaches regularly in the ICPSR Summer Program in Quantitative Methods of Social Research.

Summary

Spatial Analysis for the Social Sciences is for researchers across the social sciences who want to model and explain spatial interactions between the actors they study. The book is very user-friendly and demonstrates a variety of analytical approaches that applied researchers can use in their work.

Product details

• Authors: David Darmofal, David (University of South Carolina) Darmofal, Darmofal David
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 30.09.2015
• EAN: 9780521888264
• ISBN: 978-0-521-88826-4
• No. of pages: 258
• Series: Analytical Methods for Social Research; Analytical Methods for Social; Analytical Methods for Social Research; Analytical Methods for Social
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Social sciences, law, business > Political science > Political science and political education; SOCIAL SCIENCE / Research, MATHEMATICS / Probability & Statistics / General, SOCIAL SCIENCE / Statistics, Social research & statistics, Probability & statistics, Probability and statistics, Social research and statistics