Knowledge discovery for geographical cellular automata

Science in China, Series D: Earth Sciences

Volumn 48, Issue 10, 2005, Pages 1758-1767

  Li, Xia ^a   Yeh, Anthony Gar On ^b  

^a SUN YAT SEN UNIVERSITY   (China)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Cellular automata; Geographical information systems; Geographical simulation; Knowledge discovery

Indexed keywords

COMPUTER SIMULATION; DATA MINING; HEURISTIC METHODS; KNOWLEDGE ENGINEERING; UNCERTAIN SYSTEMS;

CELLULAR AUTOMATA; GEOGRAPHICAL INFORMATION SYSTEMS (GIS); GEOGRAPHICAL SIMULATION; KNOWLEDGE DISCOVERY;

AUTOMATA THEORY;

CELLULAR AUTOMATON; DATA MINING; GEOGRAPHICAL KNOWLEDGE; GIS; KNOWLEDGE BASED SYSTEM; SIMULATION;

EID: 33845775230     PISSN: 10069313     EISSN: 18622801     Source Type: Journal    
DOI: 10.1360/01YD0368     Document Type: Article

References (19)

1. Batty, M., Xie, Y., From cells to cities, Environment and Planning B: Planning and Design, 1994, 21: 531-548.
2. White, R., Engelen, G., Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns, Environment and Planning A, 1993, 25: 1175-1199.
3. Li, Xia, Yeh, A. G. O., Constrained cellular automata for modelling sustainable urban forms, Acta Geographica Sinica (in Chinese), 1999, 54(4): 289-298.
4. Zhou Chenghu, Sun Zhanli, Xie Yichun, Geo-cellular Automata (in Chinese), Beijing: Science Press, 1999, 1-163.
5. Li Xia, Yeh, A. G. O., Integration of principal components analysis and cellular automata for spatial decision making and urban simulation, Science in China, Ser. D, 2002, 45(6): 521-529.
6. Li Xia, Yeh, A. G. O., Modelling sustainable urban development by the integration of constrained cellular automata and GIS, International Journal of Geographical Information Science, 2000, 14(2): 131-152.
7. Li Xia, Yeh, A. G. O., Neural-network-based cellular automata for simulating multiple land use changes using GIS, International Journal of Geographical Information Science, 2002, 16(4): 323-343.
8. Clarke, K. C., Brass, J. A., Riggan, P. J., A cellular automata model of wildfire propagation and extinction, Photogrammetric Engineering & Remote Sensing, 1994, 60: 1355-1367.
9. Couclelis, H., Of mice and men: what rodent populations can teach us about complex spatial dynamics, Environment and Planning A, 1988, 20: 99-109.
10. Yeh, A. G. O., Li Xia, A constrained CA model for the simulation and planning of sustainable urban forms by using GIS, Environment and Planning B: Planning and Design, 2001, 28: 733-753.
11. Li Xia, Yeh, A. G. O., Zoning for agricultural land protection by the integration of remote sensing, GIS and cellular automata, Photogrammetric Engineering & Remote Sensing, 2001, 67(4): 471-477.
12. Wolfram, S., Cellular automata: a model of complexity, Nature, 1984, 31: 419-424.
13. Couclelis, H., From cellular automata to urban models: new principles for model development and implementation, Environment and Planning B: Planning and Design, 1997, 24: 165 -174.
14. Wu, F., Calibration of stochastic cellular automata: the application to rural-urban land conversions, International Journal of Geographical Information Science, 2002, 16(8): 795-818.
15. Wu, F., Webster, C. J., Simulation of land development through the integration of cellular automata and multicriteria evaluation, Environment and Planning B, 1998, 25: 103-126.
16. Li Xia, Yeh, A. G. O., Neural-network-based cellular automata for realistic and idealized urban simulation, Acta Geographica Sinica (in Chinese), 2002, 57(2): 159-166.
17. Moran, C. J., Bui, E. N., Spatial data mining for enhanced soil map modeling, International Journal of Geographical Information Science, 2002, 16(6): 533-549.
18. Quinlan, J. R., C4.5: Programs for Machine Learning, San Mateo: Morgan Kaufmann, 1993, 302.
19. Clarke, K. C., Hoppen, S., Gaydos, L., A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area, Environment and Planning B: Planning and Design, 1997, 24: 247-261.