The Application of Adaptive Neuron-Fuzzy Inference System in Simulating Land Use Change
Received date: 2008-09-01
Revised date: 2009-01-01
Online published: 2009-03-25
The land use and land cover change (LUCC) is one of the most important projects on global environmental changes. The process of land use change resembles a progressive and nondeterministic process both spatially and temporally. Fuzzy set theory offers a way to represent and handle uncertainty present in the continuous real world. So, the fuzzy inference theory has important significance for researching on land use change that was discussed deeply in the study. Using Chongchuan district in Nantong City of Jiangsu Province as a case, the paper mainly studied the fuzzy inference model of land use change based on Adaptive Neuron-Fuzzy Inference System(ANFIS for short) and simulated and forecasted the transition progress of the study area by using the model. The results confirm the potential of fuzzy inference to produce realistic simulations of the land use change progress. The land use model based on ANFIS could reflect the complexity and uncertainty of land use change. It is convenience to obtain the parameters and fuzzy rules of the model by the ANFIS from the history data and predigest the model structure. So the study supplied another possible idea for simulating the land use change.
LI Xinyu, GE Ying, ZHANG Zunzhong . The Application of Adaptive Neuron-Fuzzy Inference System in Simulating Land Use Change[J]. PROGRESS IN GEOGRAPHY, 2009 , 28(2) : 187 -192 . DOI: 10.11820/dlkxjz.2009.02.004
[1] 李秀彬. 全球环境变化研究的核心领域———土地利用/土 地覆被变化的国际研究动向. 地理学报, 1996, 51(6): 553~557.
[2] 摆万奇, 赵士洞. 土地利用和土地覆盖变化研究模型综 述. 自然资源学报, 1997, 12(2):169~175.
[3] 朱会义, 李秀彬, 何书金等. 环渤海地区土地利用的时 空变化分析. 地理学报, 2001, 56(3): 253~260.
[4] Li X, Yeh A G O. Modeling sustainable urban development by the integration of constrained cellular automata and GIS. Int J Geographical Information Science, 2000, 14(2): 131~152.
[5] 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): 20~27.
[6] 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.
[7] 何春阳, 史培军, 李景刚等. 中国北方未来土地利用变 化情景模拟. 地理学报, 2004, 59(4): 599~607.
[8] 蔡玉梅, 刘彦随, 宇振荣等. 土地利用变化空间模拟的 进展. 地理科学进展, 2004, 23(4): 63~71.
[9] Yan Liu, Stuart R P. Modelling urban development with cellular automata incorporating fuzzy -set approaches. Computers, Environment and Urban Systems, 2003, 27: 637~658.
[10] 张晓祥, 姚静, 李满春. 模糊集方法在空间数据处理中 的应用综述. 遥感信息, 2005,(2): 47~51.
[11] Zadeh L A. Fuzzy sets. Information and Control，1965, 8: 338~353.
[12] Zadeh L A. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1978, 1: 3~28.
[13] Wu F. Simulating urban encroachment on rural land with fuzzy-logic-controlled cellular automata in a geographical information system. Journal of Environmental Management, 1997, 53: 293~308.
[14] Dragicevic S, Marceau D J. A fuzzy set approach for modeling time in GIS. International Journal of Geographical Information Science, 2000, 14(3): 225~246.
[15] Dragicevic S, Marceau D J. Spatio-temporal interpolation and fuzzy logic reasoning for GIS simulation of rural-urban transition. Cartography and Geographical Information Science, 1999，(2): 125~137.
[16] Dragicevic S, Marceau D J. An application of fuzzy logic reasoning for GIS temporal modeling of dynamic processes. Fuzzy Sets and Systems, 2000b, 113(1):69~80.
[17] Jang JSR. ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Transaction on System, Man, and Cybernetics, 1993,23(3):665-685.
[18] 闻新, 周露, 李东江等. MATLAB 模糊逻辑工具箱的分 析与应用. 北京: 科学出版社, 2002.
[19] 楼天顺, 胡昌华. 基于MATLAB 的系统分析与设计-模 糊系统. 西安: 西安电子科技大学出版社, 2001.
[20] 张显峰, 崔伟宏. 集成GIS 和元胞自动机模型进行地理 时空过程模拟与预测的新方法. 测绘学报, 2001, 30(2): 148~155.
[21] 黎夏, 叶嘉安, 刘小平等. 地理模拟系统: 元胞自动机与 多智能体. 北京:科学出版社, 2007.
[22] 江苏省基础地理信息中心编制, 南通市国土资源局监 制. 南通市区图. 西安地图出版社, 2001.11.
[23] 黎夏, 叶嘉安. 知识发现及地理元胞自动机. 中国科学D 辑，2004, 34(9): 865~872.
[24] Wu F, Webster C J. Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environment and Planning B: Planning and Design, 1998, 25: 103~126.
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