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地理科学 >

2007 , Vol. 27 >Issue 4: 573 - 578

DOI: https://doi.org/10.13249/j.cnki.sgs.2007.04.573

综述

基于Agent的土地利用/土地覆盖变化模型的研究进展

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  • 1. 东京大学空间情报科学研究中心, 日本, 东京, 153-8505;
    2. 中国农业科学院农业资源与农业区划研究所-农业部, 资源遥感与数字农业重点开放实验室, 北京, 100081;
    3. 东京大学气候研究中心, 日本, 千叶, 277-8568

收稿日期: 2006-05-31

  修回日期: 2006-10-15

  网络出版日期: 2007-07-20

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Agent-Based Model for Land-Use/Cover Change:A Review

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  • 1. Center for Spatial Information Science, University of Tokyo, Tokyo 153-8505, Japan;
    2. Kay Laboratory of Resources Remote Sensing and Digital Agriculture of Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081;
    3. Center for Climate System Research, University of Tokyo, Chiba 277-8568, Japan

Received date: 2006-05-31

  Revised date: 2006-10-15

  Online published: 2007-07-20

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摘要

在查阅国内外大量LUCC模型应用研究文献资料的基础上,重点对基于Agent的土地利用/土地覆盖变化模型(ABM/LUCC)的研究进展进行了详细论述。首先指出ABM/LUCC模型提出的背景,并对模型的基本理论和概念进行简要介绍;其次,重点论述ABM/LUCC模型的主要研究问题以及该模型在城市土地利用、农业土地利用以及自然资源管理等领域的国内外研究进展;最后,分析总结目前模型应用中存在的主要问题,并探讨模型未来发展的主要方向。

本文引用格式

吴文斌, 杨鹏, 柴崎亮介, 唐华俊, 陈仲新 . 基于Agent的土地利用/土地覆盖变化模型的研究进展[J]. 地理科学, 2007 , 27(4) : 573 -578 . DOI: 10.13249/j.cnki.sgs.2007.04.573

Abstract

Land-use/cover change(LUCC) models have been playing a very important role in analyzing the process and its consequence of various land uses,understanding the ecological and environmental effects of LUCC,providing a great support service for land use planning and policy-making activities.This article presents an overview of Agent-based models for land-use/cover change(ABM/LUCC).The authors firstly review the development of Agent-based model in comparison with other alternative LUCC modeling techniques,and then summarize its basic concepts and core ideas.More attention is paid to discussing the main study issues of ABM/LUCC and reviewing the ongoing modeling efforts around the world in several research fields.Finally,this article outlines some important challenges and open research questions in this new domain,and concluded that,although significant challenges existing,this model offers a promising direction for scientists whose goals are to develop better LUCC models for simulating the complexity of human-environment interactions.

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