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Proceedings Paper

Agent-based modeling in land use and land cover change studies
Author(s): Guoping Wu; Buqing Zhong; Huichao Si; Bo Wei; Qinshu Wu; Chonghui Song
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Paper Abstract

This paper presents an overview of agent-based models in land-use/cover change studies. This special class of LUCC models combines a cellular landscape model with agent-based representations of decision making, integrating the two components through specification of interdependencies and feedbacks between agents and their environment. The authors first explain the related concepts of agent based models. Then we briefly discuss recent studies that apply agent- based modeling to study land use/cover change for practical cases. Finally, we discuss limitations of agent-based methods in LUCC modeling. We find that agent-based models are particularly well suited for representing complex spatial interactions under heterogeneous conditions and for modeling decentralized, autonomous decision making. We conclude that, while significant challenges exist, these models offer a promising new tool for researchers with the goal of creating fine-scale models of LUCC phenomena that focus on human-environment interactions.

Paper Details

Date Published: 26 July 2007
PDF: 10 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675232 (26 July 2007); doi: 10.1117/12.761292
Show Author Affiliations
Guoping Wu, Nanjing Univ. (China)
Buqing Zhong, Nanjing Univ. (China)
Huichao Si, Nanjing Univ. (China)
Bo Wei, Nanjing Univ. (China)
Qinshu Wu, Nanjing Univ. (China)
Chonghui Song, Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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