This article presents an overview of multi-agent system models of land-use/cover change
(MAS/LUCC models). This special class of LUCC models combines a cellular landscape …

Agent-based modelling is an approach that has been receiving attention by the land use
modelling community in recent years, mainly because it offers a way of incorporating the …

In association with the European Consortium for Political Research (ECPR), Palgrave
Macmillan is delighted to announce the launch of a new book series dedicated to producing …

Environmental Social Science offers a new synthesis of environmental studies, defining the
nature of human-environment interactions and providing the foundation for a new cross …

Scale issues have significant implications for the analysis of social and biophysical
processes in complex systems. These same scale implications are likewise considerations …

Social-ecological systems are complex adaptive systems where social and biophysical
agents are interacting at multiple temporal and spatial scales. The main challenge for the …

The goal of this work is to explore diverse factors that have induced the loss of forest areas
in the State of Mexico from 1993 to 2000, using a technique for local analysis known as …

Abstract Models are used in a variety of fields, including land change science, to better
understand the dynamics of systems, to develop hypotheses that can be tested empirically …

Agent-based modeling (ABM) is an emerging modeling approach. In the past two decades,
agent-based models have been increasingly adapted by social scientists, especially …

Agent-based modelling (ABM) is the computational study of social agents as evolving
systems of autonomous interacting agents. ABM is a tool for the study of social systems from …