Title

Modeling livelihood indicators and household resilience using Bayesian networks

Document Type

Book Chapter

Publisher

Elsevier

Place of Publication

Amsterdam

Editor(s)

V. Ratna Reddy, Geoffrey J. Syme

School

School of Business and Law

RAS ID

19079

Comments

This article was originally published as: Merritt, W., Patch, B., Reddy, V. R., Rout, S., & Syme, G. (2015). Modeling livelihood indicators and household resilience using bayesian networks. In V. R. Reddy, & G.J. Syme (Eds.), Integrated Assessment of Scale Impacts of Watershed Intervention: assessing hydrogeological and bio-physical influences on livelihoods (pp. 287-316). Amsterdam: Elsevier.

Abstract

This chapter provides an overview of the theory behind Bayesian networks (BNs) and their application to environmental and societal issues similar to those associated with Watershed Development (WSD) as well as previous applications using the sustainable livelihoods framework. It briefly describes the capital submodels and the integration of these submodels to model household resilience. A more in-depth discussion of the social capital BN is used to demonstrate how the submodels can be analyses and used to explore the influence of WSD on capital stocks in relation to other geographical and social variables.

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