地球科学进展 ›› 2002, Vol. 17 ›› Issue (2): 188 -194. doi: 10.11867/j.issn.1001-8166.2002.02.0188

土地利用/覆盖变化动力学研究进展与展望 上一篇    下一篇

基于CA的城市空间动态模型研究
何春阳,陈晋,史培军,于章涛   
  1. 北京师范大学环境演变与自然灾害教育部重点实验室,北京师范大学资源科学研究所,北京 100875
  • 收稿日期:2001-12-07 修回日期:2002-03-19 出版日期:2002-12-20
  • 通讯作者: 何春阳 (1975-),男,四川射洪人,博士生, 主要从事遥感应用与土地利用/覆盖变化研究.E-mail: hcy@bnu.edu.cn E-mail:hcy@bnu.edu.cn
  • 基金资助:

    国家自然科学基金重大项目“中国东部陆地农业生态系统与全球变化相互作用机理研究”(编号:39899374);教育部高等学校重点实验室访问学者基金资助.

STUDY ON THE SPATIAL DYNAMIC CITY MODEL BASED ON CA(CELLULAR AUTOMATA)MODEL

HE Chun-yang,  CHEN Jin, SHI Pei-jun, YU Zhang-tao   

  1. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University; Institute of Resources Science, Beijing Normal University,  Beijing 100875,China
  • Received:2001-12-07 Revised:2002-03-19 Online:2002-12-20 Published:2002-04-01

综述了当前基于CA(Cellular Automata)的城市空间动态模型研究的基本进展,介绍了我国发展的基于CA 的大都市区城市扩展模型(City Expanding Modelin Metropolianarea,CEM)以及利用该模型对北京地区城市发展过程的初步模拟结果。认为离散化的"自下而上"的微观个体模型代表了当前城市空间动态模型的最新发展方向,建立基于CA的城市动态模型,开展中国大都市区城市发展演变过程的模拟研究在当前具有重要的理论和实践意义。

In the paper, the Progress in the spatial dynamic city model based on CA (cellular automata) model is reviewed and the new developed CEM model (City Expanding Model in Metropolitan area) with its primary simulation and prediction result in Beijing is introduced. It can be seen that the “bottom-up” dynamic city model based on the individual unit interaction show the last direct of the current spatial city model. At present, it is significant to develop the spatial dynamic city model based on CA and study on the city expanding in metropolitan area in China both in theory and practice.

中图分类号: 

[1]Zhou Chenghu, Sun Zhanli, Xie Yichun. Geographic Cellular Automata Study[M].Beijing: Science Press,1999. [周成虎,孙战利,谢一春.地理元胞自动机研究[M].北京:科学出版社,1999.]
[2]Chen Shupeng. Urbanization and Urban Geographic Information System[M]. Beijing: Science Press,1999. [陈述彭主编.城市化与城市地理系统[M].北京:科学出版社,1999]
[3]Chen Shupeng, Xie Chuanjie. Urban remote sensing and urban geo-information system[J]. Science of Surveying and Mapping, 2000, 25(1): 35-45.[陈述彭,谢传节. 城市遥感与城市信息系统[J].测绘科学,2000,25(1):35-45.]
[4]Gu Chaolin, Xu Haixian. Development of urban geography in China since 1978[J].  Scientia Geographica Sinica, 1999, 19(4): 320-331.[顾朝林,徐海贤. 改革开放二十年来中国城市地理学研究进展[J].地理科学,1999,19(4):320-331.]
[5]Turner II B L, Skole D, Sanderson S. Land Use and Land Cover Change: Science/Research Plan[R].IGBP Report, No. 35, HDP Report No. 7, Stockholm, Geneva,1995.
[6]Batty M, Langler P A. The morphology of urban land use[J]. Environment and Planning B, 1986,15:461-488.
[7]Batty M. Urban modeling in computer-graphic and geographic information system environment[J].  Environment and Planning B, 1992,19:663-688.
[8]Batty M, Longley P A. Fractal Cities[M]. London: Academic Press,1994.
[9]Batty M, Xie Y. From cells to cities[J]. Environment and Planning B, 1994,21: 31-48.
[10]Batty M.New ways of looking at cities[J]. Nature,1995,377:574.
[11]Markes H A,Halvin S, Stanley H E. Modeling urban growth patterns[J]. Nature,1995,377:608-612.
[12]Couclelis H. Cellular worlds: a framework for modeling micro-macro dynamics[J]. Environment and Planning A, 1985,17: 585-596.
[13]Couclelis H. Of mice and men: what rodent population can teach us about complex spatial dynamics[J]. Environment and Planning A, 1988,20: 99-109.
[14]Couclelis H. Macrostructure and microbehaviour in a metropoltan area[J]. Environment and Planning B, 1989,16: 141-154.
[15]Couclelis H. From cellular automaton to urban models: new principles for model development and implementation[J]. Environment and Planning B, 1997,24: 165-174.
[16]Batty M, Couclelis H, Eichen M. Urban system as a cellular automata[J]. Environment and Planning B, 1997,24: 159-164.
[17]Batty M, Xie Y. Possible urban automata[J]. Environment and Planning B, 1997,24: 175-192.
[18]Batty M, Xie Y, Sun Z. Modeling urban dynamics through GIS-based cellular automata, Computer[J]. Environmental and Urban Systems, 1999,23: 1-29.
[19]Xie Y. Analytical Models and Algorithms for Cellular Urban Dynamics[D]. Ph D Thesis, University of New York at Buffalo, 1994.
[20]Clarke K C, Riggan P, Brass J A. A cellular automaton model of wildfire propagation and extinction[J]. Photogrammetric Engineering and Remote Sensing, 1995,60:1 355-1 367.
[21]Clarke K C, Gaydos L J, Hoppen S. A self-modified cellular automaton model of historical urbanization in the San Francisco Bay area[J]. Environment and Planning B, 1997,24: 247-261.
[22]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]. Int J Geographic Information Science, 1988,12(7): 699-714.
[23]White R, Engelen G. Cellular automata and fractal urban form: a cellular modeling approach to the evolution of urban land use patterns[J]. Environment and Planning A, 1993,25:1 175-1 199.
[24]White R, Engelen G. Cellular dynamics and GIS: modeling spatial complexity[J]. Geographical Systems, 1994,1: 237-253.
[25]White R, Engelen G. Cellular automata as the basis of integrated dynamic regional modeling[J]. Environment and Planning B, 1997,24: 235-246.
[26]White R, Engelen G, Uljee I. The use of constrained cellular automata for high-resolution modeling of urban land use dynamics[J]. Environment and Planning B, 1997,24: 323-343.
[27]White R, Engelen G. High-resolution integrated modeling of the spatial dynamics of urban and regional system[J]. Computer, Environment and Urban System, 2000,24:383-400.
[28]Wu F. A linguistic cellular automata simulation approach for sustainable land development in a fast growing region[J]. Computers, Environment and Urban Systems, 1996,20: 367-387.
[29]Wu F. An empirical model of intrametropolitan land use change in a Chinese city[J]. Environment and Planning B, 1998,25: 245-263.
[30]Wu F. An experiment on the generic polycentricity of urban growth in a cellular automatic city[J]. Environment and Planning B, 1998,25: 731-752.
[31]Wu F,Webster C J. Simulation of land development through the integration of cellular automata and multicriteria evaluation[J]. Environment and Planning B,1998, 25: 103-126.
[32]Wu F. SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rule[J]. International Journal of Geographical Information Science, 1998,12:63-82.
[33]Wu F, Webster C J. Simulating artificial cities in a GIS environment: urban growth under alternative regulation regimes[J]. International Journal of Geographical Information Science, 1998,14: 625-648.
[34]Yeh A G O, Li X. Sustainable land development model for rapid growth areas using GIS[J]. Int J  Geographical Information Science, 1998,12(2):169-189.
[35]Li X, Yeh A G O. Modeling sustainable urban development by the integration of constrained cellular automata and GIS[J]. Int J Geographical Information Science, 2000,14(2):131-152.
[36]Ward D P, Murray A T, Phinn S R. A stochastically constrained cellular model of urban growth[J]. Computer, Environment and Urban System, 2000,24:539-558.
[37]Shi Peijun, Gong Peng, Li Xiaobing, et al. Methods and practice of Land Use/Cover Change[M]. Beijing: Science Press,2000. [史培军,宫鹏,李晓兵,等.土地利用/覆盖变化研究的方法与实践[M].北京:科学出版社,2000.]
[38]Wu F, Webster C J. Simulating artificial cities in a GIS environment: urban growth under alternative regulation regimes[J]. Int J Geographical Information Science, 2000,14(7): 625-648.
[39]Sun Yinshe. Forming mechanism and delimitation of metropolitan area in China—A case study of Beijing[J]. Acta Geographic Sinica, 1992, 47(6): 552-560. [孙胤社. 大都市的形成机制及其定界——以北京为例[J].地理学报,1992,47(6):552-560.]
[40]He Chunyang, Shi Peijun, Chen Jin. Simulation and Prediction of Land use/cover change in metropolitan area, China—As a case study in Beijing[A].In : Proceedings of International Conference on Land Use/Cover Change Dynamics[C].  2001. 239-256.
[41]Shi Peijun, He Chunyang, Chen Jin. Study on the land use/cover change in Beijing area, China-analysis of pattern characteristic and change mechanism[A].In :  Proceedings of International Conference on Land Use/Cover Change Dynamics[C]. 2001.67-86.

[1] 田凤云,吴成来,张贺,林朝晖. 基于 CAS-ESM2的青藏高原蒸散发的模拟与预估[J]. 地球科学进展, 2021, 36(8): 797-809.
[2] 杨秋明. 长江下游夏季低频温度和高温天气的延伸期预报研究[J]. 地球科学进展, 2018, 33(4): 385-395.
[3] 张鹏, 袁洪林, 徐建, 高莲凤, 张振国, 杨策. 印尼海区浮游有孔虫壳体Mg/Ca值的LA-ICP-MS原位微区分析[J]. 地球科学进展, 2016, 31(5): 494-502.
[4] 罗志波. 阿拉善地块早前寒武纪大陆地壳的形成与演化[J]. 地球科学进展, 2015, 30(8): 878-890.
[5] 刘伟, 宋金明, 袁华茂, 李学刚, 李宁, 段丽琴, 左九龙. 黑潮化学物质输入东海的途径与通量[J]. 地球科学进展, 2015, 30(8): 904-914.
[6] 王志慧, 刘良云. 黑河中游绿洲灌溉区土地覆盖与种植结构空间格局遥感监测[J]. 地球科学进展, 2013, 28(8): 948-956.
[7] 胡正莹,王汝建,李文宝. 南塔斯曼海隆2 Ma以来碳酸钙沉积记录及其对环流系统和轨道周期的响应[J]. 地球科学进展, 2013, 28(2): 269-281.
[8] 乔培军,王婷婷,翦知湣. 利用有孔虫壳体B/Ca比值再造古海水pH值及[CO 2- 3]的潜力[J]. 地球科学进展, 2012, 27(6): 686-693.
[9] 梁丹,刘传联. 颗石藻元素地球化学研究进展[J]. 地球科学进展, 2012, 27(2): 217-223.
[10] 徐建,李建如,乔培军. 有孔虫Mg/Ca温度计研究进展——盐度影响及校正[J]. 地球科学进展, 2011, 26(9): 997-1005.
[11] 李建如,许惠平. 加拿大“海王星”海底观测网[J]. 地球科学进展, 2011, 26(6): 656-661.
[12] 李为,刘丽萍,曹龙,余龙江. 碳酸盐生物沉积作用的研究现状与展望[J]. 地球科学进展, 2009, 24(6): 597-605.
[13] 关丽,刘湘南. 两种用于作物冠层叶绿素含量提取的改进光谱指数[J]. 地球科学进展, 2009, 24(5): 548-554.
[14] 周涛,史培军. 土地利用变化对中国土壤碳储量变化的间接影响[J]. 地球科学进展, 2006, 21(2): 138-143.
[15] 马耀明,姚檀栋,王介民,胡泽勇,石川裕彦,马伟强,M.Menenti,苏中波. 青藏高原复杂地表能量通量研究[J]. 地球科学进展, 2006, 21(12): 1215-1223.
阅读次数
全文


摘要