[1] Turner B L, Meyer W B. Global land use and land cover change: An overview. Meyer W B, Turner B L. Changes in Land Use and Land Cover: A Global Perspective. New York: Cambridge University Press, 1994.1-11.
[2] Lambin E F, Turner B L, Geist H J, et al. The causes of land-use and land-cover change: Moving beyond the myths[J]. Global Environmental Change,2001,11(4):261-269.
[3] United Nations. World Urbanization Prospects: The 2003 Revision[M]. New York: United Nations Press, 2004.
[4] Batty M. Urban evolution on the desktop: Simulation with the use of extended cellular automata[J]. Environment and Planning A,1998,30(11):1943-1967.
[5] Wu F. Calibration of stochastic cellular automata: The application to rural-urban land conversions[J]. International Journal of Geographical Information Science,2002,16(8):795-818.
[6] 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[M].北京:科学出版社,2007.
[7] Torrens P M, O'Sullivan D. Cellular automata and urban simulation: Where do we go from here?[J]. Environment and Planning B: Planning and Design,2001,28(2):163-168.
[8] Fragkias M, Seto K C. Modeling urban growth in data-sparse environments: A new approach[J]. Environment and Planning B: Planning and Design,2007,34(5):858-883.
[9] Clarke K C, Hoppen S, Gaydos J. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area[J]. Environment and Planning B: Planning and Design,1997,24(2):247-261.
[10] Silva E A, Clarke K C. Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal[J]. Computers, Environment and Urban Systems,2002,26(6):525-552.
[11] Clarke K C, Gaydos L J. Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore[J]. International Journal of Geographical Information Science,1998,12(7):699-714.
[12] Jantz C A, Geog D, Goetz S J, et al. Using the SLEUTH urban growth model to simulate the impacts of future policy scenario on urban land use in the Baltimore-Washington metropolitan area[J]. Environment and Planning B: Planning and Design,2004,31(2):251-271.
[13] 丁菡.中国沿海经济发达地区土地利用变化及其驱动机制与预测模型研究——以浙江省沿海地区为例(博士学位论文).杭州:浙江大学,2006.
[14] 武晓波,赵健,魏成阶,等.细胞自动机模型用于城市发展模拟的方法初探——以海口市为例[J].城市规划, 2002,26(8):69~73.
[15] 张岩,李京,陈云浩.利用SLEUTH模型进行北京城市扩展模拟研究[J].遥感信息,2007,(2): 50~54.
[16] 冯健.杭州城市形态和土地利用结构的时空演化[J].地理学报,2003,58(3):343~353.
[17] 周国平.对杭州城市空间扩展的设想[J].浙江建筑,2006,23(11):1~10.
[18] 李王鸣,李疏贝.杭州都市区新城发展特点与发展策略研究[J].浙江大学学报:理学版,2005,32(1): 108~114,120.
[19] Xu C, Liu M, Zhang C, et al. The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China[J]. Landscape Ecology,2007,22(6):925-937.
[20] 朱会义,李秀彬.关于区域土地利用变化指数模型方法的讨论[J].地理学报,2003,58(5):643~649.
[21] 姚士谋.中国大都市的空间扩展[M].合肥:中国科技大学出版社,1997.465~483.
[22] 冯健.转型期中国城市内部空间重构[M].北京:科学出版社,2004.
[23] 杭州市规划局,杭州市城市规划编制中心.迈向钱塘江时代[M].上海:同济大学出版社,2002.
[24] Xian G, Crane M. Assessments of urban growth in the Tampa Bay watershed using remote sensing data[J]. Remote Sensing of Environment,2005,97(2):203-215. |