Skip to content

Your Cart


You have 0 items in your cart.

Register Sign in Wishlist
Look Inside Spatial Analysis for the Social Sciences
eBook forthcoming

Spatial Analysis for the Social Sciences

$34.99 (P)

Part of Analytical Methods for Social Research

  • Date Published: November 2015
  • availability: In stock
  • format: Paperback
  • isbn: 9780521716383

$ 34.99 (P)

Add to cart Add to wishlist

Other available formats:
Hardback, eBook

Looking for an examination copy?

If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact providing details of the course you are teaching.

Product filter button
About the Authors
  • Many 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.

    • Demonstrates how to apply spatial analysis for applied researchers in the social sciences
    • Written in a user-friendly manner, the book can be easily understood and applied
    • Illustrates the application of spatial analysis via examples, with data and code for them provided online for researchers
    Read more

    Reviews & endorsements

    "Do you collect all your data from just one place? Would the geography of what your research covers look like a single dot on a map? If so, then don't read David Darmofal's interesting and accessible book on spatial statistics. And definitely skip the practical discussion of software that shows you how to improve your statistical analyses to account for geographic dependencies."
    Gary King, Albert J. Weatherhead III University Professor, and Director, Institute for Quantitative Social Science, Harvard University, Massachusetts

    "Spatial Analysis for the Social Sciences is an accessible ‘must-read’ so that scholars learn to recognize the dependencies in their data, how to test for these dependencies, and how to address them. Darmofal is convincing in his conclusion that all social science data are indeed spatial data."
    Janet M. Box-Steffensmeier, Vernal Riffe Professor of Political Science, Ohio State University

    "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

    See more reviews

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity


    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?


    Product details

    • Date Published: November 2015
    • format: Paperback
    • isbn: 9780521716383
    • length: 259 pages
    • dimensions: 229 x 152 x 15 mm
    • weight: 0.37kg
    • contains: 16 b/w illus. 27 tables
    • availability: In stock
  • Table 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.

  • Author

    David Darmofal, University of South Carolina
    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.

Sign In

Please sign in to access your account


Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner Please see the permission section of the catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.


Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

Please fill in the required fields in your feedback submission.