RAGE-learning ABM extension - model outputs corresponding to ECOMOD publication

This data repository pertains to outputs of an agent-based model as described and analyzed in the following publication:Apetrei, C. I., Strelkovskii, N., Khabarov, N., &amp; Javalera Rincón, V. (2024). Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning. Ecological Modelling, 489, 110609, https://doi.org/10.1016/j.ecolmodel.2023.110609.The data has been generated with the extended agent-based model RAGE-learning, which is available at ComSES (see below).Full citation of the source model of this data:Cristina I. Apetrei, Nikita Strelkovskii, Nikolay Khabarov, Valeria Javalera Rincón (2023, July 22). “Learning Extension - RAGE RAngeland Grazing Model” (Version 1.0.0). <i>CoMSES Computational Model Library</i>. Retrieved from: https://www.comses.net/codebases/e103feef-2785-41e6-affb-8306c979e83c/releases/1.0.0/<br>---------------------This work was performed as part of the YSSP 2021 program at IIASA - the International Institute for Applied Systems Analysis, Laxenburg, AT.