DOI:10.13758/j.cnki.tr.2003.06.003 (Soils), 2003, 35 (6): 456~460 LUCC 1 2 1 2100962 210008 (GIS) Cellular Automata CA CA CA CA / (LUCC) P208 / LUCC / LUCC : [1] LUCC (1) [5] CA 8 CA LUCC [4] (2) 1980~1994 [2] 1980~1994 LUCC [4] (3) 1950~2050 Conversion Matrix S 1980~2030 [9] LUCC LUCC (4) GTR GTR(Generalized Thunen- [2~8] Ricardian LUCC Thunen
6 LUCC 457 Ricardian CA [10] GIS GTR 30 [14] CA St + 1 = f (S t, N) : S N [11] t f (GIS) LUCC CA 5 : GIS 1 lattice GIS GIS 3 2 CA state {01} GIS {s 0, s 1, s 2, s 3, s i, s k,} 3 [12] LUCC r r CA 4 CA LUCC CA (Cellular Automata CA) [15] 5CA (Von Neumann)20 40 t Conway JH 1970 t+1 (the Game of Life) t CA [13] (1) CA (2) CA (3) (4) CA (5)
458 35 (1) CA CA (2) CA Tobler 20 70 CA CA CA (3) CA [15] Henlen Couclelis CA [16] Green CA (4) CA [17] Michael Batty CA [18] Xie Yichun ArcView CA Avenue CA (5) Buffalo CA GIS [19] White CA CA GIS (Cincinnati) [23] (Caribbean) CA LUCC [20] Wu Fulong CA LUCC CA (Multicriteria EvalutionMCE) Arc/Info AML C GIS LUCC CA MCE (1) [21] 1999 (GeoCA) (2) [22] CA ( ) Arc/Info Grid [23] ( ) Arc/Info Grid AML VB (3) (LESP ) LUCC [24] CA LUCC CA LUCC CA
6 LUCC 459 (4) CA LUCC LUCC CA [25] LUCC CA LUCC CA CA LUCC CA (1) CA CA LUCC 3S (2) CA LUCC CA LUCC CA CA LUCC (3) CA LUCC LUCC [25] (4) CA CA CA : CA LUCC LUCC LUCC LUCC CA LUCC
460 35., 2001, 20 (6): 660~668 12,. (5) CA 13. CA ANN GIS. D, 2001, 31 (8) : 683~690 14,. CA CA., 1998, (6) : 165~169 CA 15 Tobler WR. A Computer Movie Simulating Urban Growth in the Detroit Region, Economic Geography. 1970, 46: CA CA 234~240 16 Couclelis H. Cellular Worids: a Framework for Modeling Micro-Macro Dynamics. Environment and Planning A. CA 1985, 17: 585~596 17 Green DG and Tridgell A. Interactive Simulation of Bushfires in Heterogeneous Fuels. Mathematical Compu- tation and Modeling, 1990, 13(12): 57~66 1,. 18 Batty M, Xie Y. Modeling inside GIS: Part1. Model., 1997, 12 (2) : 169~175 2,.. Part2. Selecting and calibrating urban models using, 2000, 55 (2) : 151~160 3.. Information Systems, 1994, 8: 291~307, 451~470, 1999, 14 (4) : 381~384 4,,. Geographical Analysis, 1997, 28: 350~373., 1999, 14 (4) : 74~79 5, Peter H Verburg. / cellular modeling approach to the evolution of urban land., 2000, 20 (3) : 197~202 6,,,. 1175~1189., 2001, 33 (2) : 81~85 7,.. through the integrated GIS and CA with AHP-Drived,2001,33(6)295~299 transition rules. Int. J. Geographical Information Science, 8,,. 1998, 12 (1): 63~82., 22.. :, 1999: 1996, 28 (1): 14~20 9,. / 23,. GIS., 2002, 21 (1) : 51~57 10 Konagaya K, Morita H, Otsubo K. Chinese landuse predicted by the GTR model. Discussion paper in the 1999 open meeting of the human dimensions of global environmental change reserch community, Tokyo, 1999, 212~219. ( ), 2001, 34 (6): 8~11 structures, exploratory spatial data analysis and aggregation; ARC/INFO. International Journal of Geographical 19 Xie Y.. A generlized model for cellular urban dynamics. 20 White RW. Cellular automata and fractal urban form: a use patterns. Environment and Planning A, 1993, 25: 21 Wu FL. SimLand: A prototype to simulate land conversion 27~48 11,.., 2001, (5): 48~155 24,. CA., 2002, 57 (2) : 159~166 25,.., 2002, 3 (1) : 79~85 ( 480 )
480 35 3,,.., 1999, 30: 10~12 4,,.., 2001, 33 (1): 1~6 5,,,,., 1999 2,,.. 7.. :,, 1999, 31 (2) : 70~76., 2001, 33 (1): 7~12 6. 1.. : ( ). :,1995 1990 CLASSIFICATION AND BASIC PROPERTIES OF SOILS IN LUANCHENG COUNTY Zhu Anning Zhang Jiabao Zhang Yuming ( 1 Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008; 2 Shijiazhuang Institute of Agricultural Modernization, Chinese Academy of Sciences, Shijiazhuang 050021 ) Abstract An overall soil survey was carried out in Luancheng County, Hebei Province. According to the principle of the Chinese Soil Taxonomy and based on the characteristic soil horizons identified, the soils were classified into sixteen soil series, of which basic properties and distribution were determined preliminarily. Key words Soil series, Characteristic soil horizons, Basic properties ************************************************************************************************ ( 460 ) CELLULAR AUTOMATA MODEL AND SPATIO-TEMPORAL SIMULATION OF LUCC Tang Junyou 1 Yang Guishan 2 ( 1 Transportation College, Southeast University, Nanjing 210096; 2 Nanjing Institute of Geography and Limnlogy, Chinese Academy of Sciences, Nanjing 210008 ) Abstract In modeling of spatial-temporal process of Land Use/Cover Change(LUCC), support of the Geographical Information System (GIS) and other relative technologies are needed. But the present GIS cannot completely express the temporal information and spatial-temporal relationship of geographical entities, lacking the capability of spatial- temporal analysis and dynamical modeling. Cellular Automata (CA) are a kind of dynamically modeling framework from bottom to top and possess the capability of modeling spatial-temporal evolvement process of a complicated geographical system. To proceed with the principle and features of CA, the paper introduces the method for structuring the model and explore feasibility and operability of the CA model in modeling and forecasting spatial-temporal process of Land Use/Cover Change (LUCC). In the end, status, existing problems and prospects of its application are analyzed. Key words Cellular Automata (CA)ModelLand Use/Cover Change (LUCC)Spatio-temporal simulation