Agent-based modeling in land use and land cover change studies

Guoping Wu; Buqing Zhong; Huichao Si; Bo Wei; Qinshu Wu; Chonghui Song

doi:10.1117/12.761292

26 July 2007 Agent-based modeling in land use and land cover change studies

Guoping Wu, Buqing Zhong, Huichao Si, Bo Wei, Qinshu Wu, Chonghui Song

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 675232 (2007) https://doi.org/10.1117/12.761292
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Guoping Wu, Buqing Zhong, Huichao Si, Bo Wei, Qinshu Wu, and Chonghui Song "Agent-based modeling in land use and land cover change studies", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 675232 (26 July 2007); https://doi.org/10.1117/12.761292

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available