Regional scale agent-based modelling of land change: evolving institutional arrangements in frontier areas
PhD thesis presentation focusing on spatial dynamic modeling and agent-based simulation of land-use change.
Abstract
This presentation covers the doctoral research on modeling land-use and land-cover change (LUCC) in the Brazilian Amazon. The study proposes a regional-scale agent-based model that incorporates evolving institutional arrangements to better understand the dynamics of frontier areas. By simulating the interactions between various stakeholders and their environment, the model provides insights into the processes driving deforestation and land transition.
Key Contributions
- Agent-Based Architecture: A framework for multi-agent simulation at regional scales.
- Institutional Modeling: Integrating rules and arrangements that govern land use.
- Amazon Frontier Analysis: Empirical application to study deforestation patterns.
- Policy Support: Tools for evaluating the impact of environmental regulations and land tenure policies.
Presented by Sérgio Souza Costa as part of his PhD defense at the National Institute for Space Research (INPE).