A Framework for Data-Driven Agent-Based Modelling of Agricultural Land Use
Agent-based models (ABMs) are particularly suited for simulating the behaviour of agricultural agents in response to land use (LU) policy. However, there is no evidence of their widespread use by policymakers. Here, we carry out a review of LU ABMs to understand how farmers’ decision-making has been...
Main Authors: | Giacomo Ravaioli, Tiago Domingos, Ricardo F. M. Teixeira |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
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Series: | Land |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-445X/12/4/756 |
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