Computational Model Library

The Viability of the Social-Ecological Agroecosystem (ViSA) Spatial Agent-based Model (2.0.0)

ViSA 2.0.0 is an updated version of ViSA 1.0.0 aiming at integrating empirical data of a new use case that is much smaller than in the first version to include field scale analysis. Further, the code of the model is simplified to make the model easier and faster. Some features from the previous version have been removed.
It simulates decision behaviors of different stakeholders showing demands for ecosystem services (ESS) in agricultural landscape. It investigates conditions and scenarios that can increase the supply of ecosystem services while keeping the viability of the social system by suggesting different mixes of initial unit utilities and decision rules.

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Release Notes

Please read the attached description document and supplementary material before use.

Associated Publications

  • Shaaban, M. (202*). Co-Management of Crop Yield, Erosion Control and Biodiversity in Märkisch-Oderland: An Empirical Implementation of ViSA Agent-Based Model. (Under- development)

The Viability of the Social-Ecological Agroecosystem (ViSA) Spatial Agent-based Model 2.0.0

ViSA 2.0.0 is an updated version of ViSA 1.0.0 aiming at integrating empirical data of a new use case that is much smaller than in the first version to include field scale analysis. Further, the code of the model is simplified to make the model easier and faster. Some features from the previous version have been removed.
It simulates decision behaviors of different stakeholders showing demands for ecosystem services (ESS) in agricultural landscape. It investigates conditions and scenarios that can increase the supply of ecosystem services while keeping the viability of the social system by suggesting different mixes of initial unit utilities and decision rules.

Release Notes

Please read the attached description document and supplementary material before use.

Version Submitter First published Last modified Status
2.0.0 Mostafa Shaaban Mon Mar 25 17:20:25 2024 Mon Jun 24 12:42:38 2024 Published Peer Reviewed DOI: 10.25937/m2az-yt17

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