Citation: | SHU Bangrong, LIU Youzhao, ZHANG Honghui, ZHANG Qingli. Scenario Simulation of Urban Land Expansion Integrate Variable Weight with Constrained Fuzzy Cellular Automata[J]. Geomatics and Information Science of Wuhan University, 2013, 38(4): 498-503. |
[1] |
冯科,吴次芳,韦仕川,等.管理城市空间扩展:UGB及其对中国的启示[J]. 中国土地科学, 2008, 22(5): 77-81
|
[2] |
Gennaio M, Hersperger A M, Bürgi M. Containing Urban Sprawl-Evaluating Effectiveness of Urban Growth Boundaries Set by the Swiss Land Use Plan[J]. Land Use Policy, 2009, 26(2): 224-232
|
[3] |
刘耀林,刘艳芳,明冬萍.基于灰色局势决策规则的元胞自动机城市扩展模型[J]. 武汉大学学报\5信息科学版, 2004, 29(1): 713
|
[4] |
杨青生,黎夏.基于动态约束的元胞自动机与复杂城市系统的模拟[J]. 地理与地理信息科学, 2006, 22(5): 10-15
|
[5] |
杨小雄,刘耀林,王晓红,等.基于约束条件的元胞自动机土地利用规划布局模型[J]. 武汉大学学报.信息科学版, 2007, 32(12): 1 164-1 167
|
[6] |
龙瀛,韩昊英,毛其智.利用约束性CA制定城市增长边界\J]. 地理学报, 2009, 64(8): 999-1008
|
[7] |
李咏华.生态视角下的城市增长边界划定方法:以杭州市为例[J]. 城市规划, 2011, 35(12): 83-90
|
[8] |
Tayyebi A, Pijanowski B C, Tayyebi A H. An Urban Growth Boundary Model Using Neural Networks, GIS and Radial Parameterization: an Application to Tehran, Iran[J]. Landscape and Urban Planning, 2011, 100(1/2): 35-44
|
[9] |
Al-Ahmadi K, Heppenstall A, Hogg J, et al. A Fuzzy Cellular Automata Urban Growth Model (Fcaugm) for the City of Riyadh, Saudi Arabia. Part 1: Model Structure and Validation[J]. Applied Spatial Analysis and Policy, 2009, 2(1): 65-83
|
[10] |
舒帮荣,黄琪,刘友兆,等.基于变权的城镇用地扩展生态适宜性空间模糊评价:以江苏省太仓市为例[J]. 自然资源学报, 2012, 27(3): 402-412
|
[11] |
李洪兴.因素空间理论与知识表示的数学框架(Ⅸ):均衡函数的构造与Weber-Fechner特性[J]. 模糊系统与数学, 1996, 10(3): 12-17
|
[12] |
姚炳学,李洪兴.局部变权的公理体系[J]. 系统工程理论与实践, 2000(1): 107-110
|
[13] |
谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J]. 自然资源学报, 2008, 23(5): 911-919
|
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