An integrated socio-economic Agent-Based Modeling framework towards assessing farmers’ decision making under water scarcity and varying utility function (version 1.1.0)
A spatio-temporal Agent Based Modeling (ABM) framework is developed to probabilistically predict farmers’ decisions in the context of climate-induced water scarcity under varying utility optimization functions. The proposed framework forecasts farmers’ behavior assuming varying utility functions. The framework allows decision makers to forecast the behavior of farmers through a user-friendly platform with clear output visualization. The functionality of the proposed ABM is illustrated in an agriculturally dominated plain along the Eastern Mediterranean coastline.
Study area GIS data available upon request to [email protected]
Release Notes
A spatio-temporal Agent Based Modeling (ABM) framework is developed to probabilistically predict farmers’ decisions in the context of climate-induced water scarcity under varying utility optimization functions. The proposed framework forecasts farmers’ behavior assuming varying utility functions. The framework allows decision makers to forecast the behavior of farmers through a user-friendly platform with clear output visualization. The functionality of the proposed ABM is illustrated in an agriculturally dominated plain along the Eastern Mediterranean coastline.
Study area GIS data available upon request to [email protected]
| Version | Submitter | First published | Last modified | Status |
|---|---|---|---|---|
| 6.1.1 | Ghinwa Harik | Wed Nov 23 07:50:32 2022 | Wed Nov 23 07:50:32 2022 | Published |
| 1.1.0 | Ghinwa Harik | Wed Nov 23 08:24:49 2022 | Wed Nov 23 08:24:49 2022 | Published |
| 1.0.0 | Ghinwa Harik | Tue Sep 13 09:21:05 2022 | Tue Sep 13 09:21:05 2022 | Published |