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Graphical models and Bayesian networks as a spatial analytical tool

In: Handbook of Research Methods and Applications in Spatially Integrated Social Science

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  • David Rohde
  • Jonathan Corcoran

Abstract

The chapters in this book provide coverage of the theoretical underpinnings and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful Handbook is intended chiefly as a primer for students and budding researchers who wish to investigate social, economic and behavioural phenomena by giving explicit consideration to the roles of space and place. The majority of chapters provide an emphasis on demonstrating applications of methods, tools and techniques that are used in SISS research, including long-established and relatively new approaches.

Suggested Citation

  • David Rohde & Jonathan Corcoran, 2014. "Graphical models and Bayesian networks as a spatial analytical tool," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 26, pages 587-600, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14407_26
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    References listed on IDEAS

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    1. Zhuoqiong He & Dongchu Sun, 2000. "Hierarchical Bayes Estimation of Hunting Success Rates with Spatial Correlations," Biometrics, The International Biometric Society, vol. 56(2), pages 360-367, June.
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