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The model interface is build in R that also serves as the environment to model household decision making regarding the use of different water sources. Within the R environment a connection is established to NetLogo, where the ABM is run.
The main (methodological) purpose of the study is to develop an approach for the coupling of ABM and Bayesian belief networks as an integration tool for social and natural scientific knowledge based on a connection between R and NetLogo.
Furthermore the models aims are
i. to assess and depict the spatio-temporal patterns of the use of different water sources for the whole area of the Cuvelai Basin. Thereby, the influence of different social-ecological dynamics on these patterns can also be assessed.
ii. to reproduce the historical expansion of the tap water network in the Namibian part of the study area between 1992 and 2015, based on the assumption that it is mainly driven by people’s demand. Based on this, we aim to assess the contribution of the real expansion to overcoming water scarcity.