Spatial Analysis for the Social Sciences (Analytical Methods for Social Research)

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David DarmofalCambridge University Press, 10/29/2015EAN 9780521716383, ISBN10: 0521716381Paperback, 262 pages, 22.9 x 15.2 x 1.5 cmLanguage: EnglishOriginally published in EnglishM any theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates how researchers can diagnose and model this spatial dependence and draw more valid inferences as a result. The book is structured around the well-known Galton's problem and presents a step-by-step guide to the application of spatial analysis. The book examines a variety of spatial diagnostics and models through a series of applied examples drawn from the social sciences. These include spatial lag models that capture behavioral diffusion between actors, spatial error models that account for spatial dependence in errors, and models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced spatial models for time-series cross-sectional data, categorical and limited dependent variables, count data, and survival data.Part I. General Topics1. The social sciences and spatial analysis2. Defining neighbors via a spatial weights matrix3. Spatial autocorrelation and statistical inference4. Diagnosing spatial dependence5. Diagnosing spatial dependence in the presence of covariates6. Spatial lag and spatial error models7. Spatial heterogeneityPart II. Advanced Topics8. Time-series-cross-section (TSCS) and panel data models9. Advanced spatial models10. ConclusionPart III. Appendices on Implementing Spatial Analyses11. Getting data ready for a spatial analysis12. Spatial software13. Web resources for spatial analysis14. Glossary. Show more