PROGRESS IN GEOGRAPHY ›› 2011, Vol. 30 ›› Issue (11): 1336-1344.doi: 10.11820/dlkxjz.2011.11.002
• Original Articles • Previous Articles Next Articles
GUO Huanhuan, LI Bo, HOU Ying, SUN Tesheng
Received:
2011-01-01
Revised:
2011-04-01
Online:
2011-11-25
Published:
2011-11-25
GUO Huanhuan, LI Bo, HOU Ying, SUN Tesheng. Cellular Automata Model and Multi-agent Model for the Simulation of Land Use Change: A Review[J].PROGRESS IN GEOGRAPHY, 2011, 30(11): 1336-1344.
[1] 蔡运龙. 土地利用/土地覆被变化研究: 寻求新的综合途径. 地理研究, 2001, 20(6): 645-652.[2] 李秀彬. 土地利用变化的解释. 地理科学进展, 2002, 21(3): 195-203.[3] 李黔湘, 王华斌. 基于马尔柯夫模型的涨渡湖流域土地利用变化预测. 资源科学, 2008, 30(10): 1541-1546.[4] 李志, 周生路, 陆长林,等. 基于系统动力学城市边缘区土地利用变化模拟与预测: 以南京市江宁区为例. 土壤, 2010, 42(2): 314-318.[5] 黄庆旭, 史培军, 何春阳, 等. 中国北方未来干旱化情景下的土地利用变化模拟. 地理学报, 2006, 61(12):1299-1310.[6] 何春阳, 史培军, 陈晋, 等. 基于系统动力学模型和元胞自动机模型的土地利用情景模型研究. 中国科学: D辑, 2005, 35(5): 464-473.[7] 秦贤宏, 段学军, 李慧, 等. 基于SD和CA的城镇土地扩展模拟模型: 以江苏省南通地区为例. 地理科学, 2009,29(3): 439-444.[8] 段增强, Verburg P H, 张凤荣, 等. 土地利用动态模拟模型的构建及其应用: 以北京市海淀区为例. 地理学报,2004, 59(6): 1037-1047.[9] 摆万奇, 张永民, 阎建忠, 等. 大渡河上游地区土地利用动态模拟分析. 地理研究, 2005, 24(2): 206-212, 323.[10] 侯西勇, 常斌, 于信芳. 基于CA-Markov 的河西走廊土地利用变化研究. 农业工程学报, 2004, 20(5): 286-291.[11] 黎夏, 叶嘉安. 基于神经网络的单元自动机CA及真实和忧化的城市模拟. 地理学报, 2002, 57(2): 159-166.[12] 黎夏, 叶嘉安. 基于神经网络的元胞自动机及模拟复杂土地利用系统. 地理研究, 2005, 24(1): 19-27.[13] 黎夏, 叶嘉安, 刘小平. 地理模拟系统: 元胞自动机与多智能体. 北京: 科学出版社, 2007.[14] 樊杰, 吕昕. 简论人地关系地域系统研究的核心领域:土地利用变化. 地学前缘, 2002, 9(4): 429-430.[15] 唐华俊, 陈佑启. 中国土地资源可持续利用的理论与实践. 北京: 中国农业科技出版社, 2000.[16] Sante I, Garcia A M, Miranda D, et al. Cellular automatamodels for the simulation of real-world urban processes:A review and analysis. Landscape and Urban Planning,2010, 96(2): 108-122.[17] Tobler W R. Cellular geography//Gale S, Olsson G. Philosophy in Geography. Dordrecht: Reidel, 1979.[18] 黎夏, 刘小平, 何晋强, 等. 基于耦合的地理模拟优化系统. 地理学报, 2009, 64(8): 1009-1018.[19] Jenerette G D, Wu J G. Analysis and simulation ofland-use change in the central Arizona-Phoenix region,USA. Landscape Ecology, 2001, 16(7): 611-626.[20] Kocabas V, Dragicevic S. Assessing cellular automatamodel behaviour using a sensitivity analysis approach.Computers Environment and Urban Systems, 2006, 30(6):921-953.[21] Kocabas V, Dragicevic S. Coupling Bayesian networkswith GIS-based cellular automata for modeling land usechange//Raubal M, Miller H J, Frank A U, et al. GeographicInformation Science, Proceedings. Berlin: Springer-Verlag Berlin, 2006: 217-233.[22] Hagoort M, Geertman S, Ottens H. Spatial externalities,neighbourhood rules and CA land-use modelling. Annalsof Regional Science 2008, 42(1): 39-56.[23] 杨青生, 黎夏. 基于支持向量机的元胞自动机及土地利用变化模拟. 遥感学报, 2006, 10(6): 836-846.[24] 杨青生, 黎夏. 基于粗集的知识发现与地理模拟: 以深圳市土地利用变化为例. 地理学报, 2006, 61(8):882-894.[25] 黎夏, 刘小平. 基于案例推理的元胞自动机及大区域城市演变模拟. 地理学报, 2007, 62(10): 1097-1109.[26] Liu X P, Li X, Shi X, et al. Simulating land-use dynamicsunder planning policies by integrating artificial immunesystems with cellular automata. International Journal ofGeographical Information Science, 2010, 24(5): 783-802.[27] 谢花林, 刘黎明, 李波, 等. 土地利用变化的多尺度空间自相关分析: 以内蒙古翁牛特旗为例. 地理学报, 2006,61(4): 389-400.[28] 聂婷, 肖荣波, 王国恩, 等. 基于Logistic 回归的CA模型改进方法: 以广州市为例. 地理研究, 2010, 29(10):1909-1919.[29] Menard A, Marceau D J. Exploration of spatial scale sensitivityin geographic cellular automata. Environment andPlanning B-Planning & Design, 2005, 32(5): 693-714.[30] 柯新利, 邓祥征, 何书金. 地理元胞自动机模型的尺度敏感性及原因. 地理研究, 2010, 29(5): 863-872.[31] Stevens D, Dragicevic S. A GIS-based irregular cellularautomata model of land-use change. Environment andPlanning B-Planning & Design, 2007, 34(4): 708-724.[32] Pan Y, Roth A, Yu Z R, et al. The impact of variation inscale on the behavior of a cellular automata used for landuse change modeling. Computers Environment and UrbanSystems, 2010, 34(5): 400-408.[33] White R, Engelen G. Cellular automata and fractal urbanform: A cellular modelling approach to the evolution ofurban land use patterns. Environment and Planning A,1993, 25(8): 1175-1199.[34] Clarke K C, Hoppen S. A self-modifying cellular automatonmodel of historical urbanization in the San FranciscoBay area. Environment and Planning B-Planning & Design,1997, 24(2): 247-261.[35] Yi W, He B. Applying SLEUTH for simulating urban expansionof Beijing//2009 International Forum on InformationTechnology and Applications, Vol 2, Proceedings,2009: 652-656.[36] Caglioni M, Pelizzoni M, Rabino G A. Urban sprawl: Acase study for project gigalopolis using SLEUTH model.Cellular Automata, Proceedings, 2006, 4173: 436-445.[37] Solecki W D, Oliveri C. Downscaling climate change scenariosin an urban land use change model. Journal of EnvironmentalManagement, 2004, 72(1-2): 105-115.[38] Chen X G, Zhang Y H, Tashpolat T, et al. Modeling urbangrowth with SLEUTH: A case study of Urumqi, Xinjiang,China. Proceedings of the China Association forScience and Technology, 2006, 2(1): 118-123.[39] Maeda E E, Pellikka P K E, Siljander M, et al. Potentialimpacts of agricultural expansion and climate change onsoil erosion in the Eastern Arc Mountains of Kenya. Geomorphology,2010, 123(3-4): 279-289.[40] Nepstad D, Soares B S, Merry F, et al. The end of deforestationin the Brazilian Amazon. Science, 2009, 326(5958): 1350-1351.[41] Heckbert S, Baynes T, Reeson A. Agent-based modelingin ecological economics//Limburg K, Costanza R. EcologicalEconomics Reviews. Oxford: Blackwell Publishing,2010: 39-53.[42] Bousquet F, Barreteau O, d'Aquino P, et al. Multi-agentSystems and Role Games: Collective Learning Processesfor Ecosystem Management. Cheltenham: Edward ElgarPublishing Ltd., 2002.[43] Bousquet F, Le Page C. Multi-agent simulations and ecosystemmanagement: A review. Ecological Modelling,2004, 176(3-4): 313-332.[44] Benenson I, Martens K, Birfir S. PARKAGENT: Anagent-based model of parking in the city. Computers Environmentand Urban Systems, 2008, 32(6): 431-439.[45] Gorodetski V, Kotenko I, Karsaev O. Multi-agent technologiesfor computer network security: Attack simulation,intrusion detection and intrusion detection learning. ComputerSystems Science and Engineering, 2003, 18(4):191-200.[46] Parrott L, Lacroix R, Wade K M. Design considerationsfor the implementation of multi-agent systems in thedairy industry. Computers and Electronics in Agriculture,2003, 38(2): 79-98.[47] Berger T, Schreinemachers P, Woelcke J. Multi-agent simulationfor the targeting of development policies inless-favored areas. Agricultural Systems, 2006, 88(1):28-43.[48] Parker D C, Manson S M, Janssen MA, et al. Multi-agentsystems for the simulation of land-use and land-coverchange: A review. Annals of the Association of AmericanGeographers, 2003, 93(2): 314-337.[49] Berger T. Agent-based spatial models applied to agriculture:A simulation tool for technology diffusion, resourceuse changes and policy analysis. Agricultural Economics,2001, 25(2-3): 245-260.[50] Evans T P, Kelley H. Multi-scale analysis of a householdlevel agent-based model of landcover change. Journal ofEnvironmental Management, 2004, 72(1-2): 57-72.[51] Hoffmann M, Kelley H, Evans T. Simulating Land-coverChange in South-Central Indiana: An Agent-based Modelof Deforestation and Afforestation. Cheltenham: EdwardElgar Publishing Ltd., 2002.[52] Lansing J S, Kremer J N. Emergent properties of Balinesewatertemple networks: Coadaptation on a rugged fitness landscape. American Anthropologist(New Series),1993, 95(1): 97-114..[53] Valbuena D, Verburg P H, Bregt A K. A method to definea typology for agent-based analysis in regional land-useresearch. Agriculture Ecosystems & Environment, 2008, 128(1-2): 27-36.[54] Ligtenberg A, Wachowicz M, Bregt A K, et al. A designand application of a multi-agent system for simulation ofmulti-actor spatial planning. Journal of EnvironmentalManagement, 2004, 72(1-2): 43-55.[55] Le Q B, Park S J, Vlek P L G. Land Use Dynamic Simulator(LUDAS): A multi-agent system model for simulatingspatio-temporal dynamics of coupled human-landscapesystem 2. Scenario-based application for impact assessmentof land-use policies. Ecological Informatics, 2010, 5(3): 203-221.[56] Happe K, Kellermann K, Balmann A. Agent-based analysisof agricultural policies: An illustration of the agriculturalpolicy simulator AgriPoliS, its adaptation and behavior.Ecology and Society, 2006, 11(1): 49-74.[57] Balmann A, Happe K, Kellermann K, et al. AdjustmentCosts of Agri-environmental Policy Switchings: AnAgent-based Analysis of the German Region Hohenlohe.Cheltenham: Edward Elgar Publishing Ltd., 2002.[58] 陈海, 王涛, 梁小英, 等. 基于MAS的农户土地利用模型构建与模拟: 以陕西省米脂县孟岔村为例. 地理学报,2009, 64(12): 1448-1456.[59] 张鸿辉, 曾永年, 金晓斌, 等. 多智能体城市土地扩张模型及其应用. 地理学报, 2008, 63(8): 869-881.[60] 刘小平, 黎夏, 艾彬, 等. 基于多智能体的土地利用模拟与规划模型. 地理学报, 2006, 61(10): 1101-1112.[61] 聂云峰, 陈红顺, 夏斌, 等. 基于多智能体与GIS 城市土地利用变化仿真研究. 计算机应用研究, 2009, 26(7):2613-2616.[62] 吴静. 人地关系分析的自主体模拟理论框架及其平台开发研究[D]. 上海: 华东师范大学, 2008.[63] 黄秀兰. 基于多智能体与元胞自动机的城市生态用地演变研究[D]. 长沙: 中南大学, 2008.[64] Ward D, Phinn S R, Murray A T. Monitoring growth inrapidly urbanizing areas using remotely sensed data. ProfessionalGeographer, 2000, 52(3): 371-386.[65] Le Q B, Park S J, Vlek P L G, et al. Land-Use DynamicSimulator (LUDAS): A multi-agent system model forsimulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification.Ecological Informatics, 2008, 3(2): 135-153.[66] 王春超, 李兆能. 农村土地流转中的困境: 来自湖北的农户调查. 华中师范大学学报: 人文社会科学版, 2008,47(4): 51-56. |
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