Dynamic spatial modeling of urban growth through cellular automata in a GIS environment

International Journal of Environmental Research

Volumn 1, Issue 3, 2007, Pages 272-279

  Mahiny, A S ^a   Gholamalifard, M ^b  

^a GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES   (Iran)

^b TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Cellular Automata; Dynamic modeling; Gorgan; Landsat; SLEUTH; Urban growth

Indexed keywords

CELLULAR AUTOMATON; GIS; LANDSAT THEMATIC MAPPER; PLANNING METHOD; SATELLITE IMAGERY; SPATIAL RESOLUTION; TWENTY FIRST CENTURY; URBAN AREA; URBAN GROWTH;

ASIA; EURASIA; GOLESTAN; GORGAN; IRAN; MIDDLE EAST;

EID: 42449148427     PISSN: 17356865     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. Acevedo, W., Foresman, T. W. and Buchanan, J. T., (1996). Origins and philosophy of building a temporal database to examine human transformation processes. Proceedings,ASPRS/ACSM Annual Convention and Exhibition, Baltimore, MD, I, 148-161.
2. Barredo, I. J., Kasanko, M., McCormick, N. and Lavalle, C., (2003). Modeling dynamic spatial processes: simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, 64, 145-160.
3. Batty, M., Longley, P. and Fotheringharn, S., (1989). Urban growth and form: scaling, fractal geometry, and difusion-limited aggregation. Environ. Plan. A., 21, 1447-1472.
4. Batty, M., Xie, Y. and Sun, Z., (1999). Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 23, 205-233.
5. Batty, M., (1994). A Chronicle of Scientific Planning: the Anglo-American Modelling Experience. J. Am. Plan. Assoc., 60 (1), 7-16.
6. Batty, M. and Densham, P. J., (1996). Decision support, GIS, and urban planning. Available at: http://www.geog.ucl.ac.uk/~pdensham/SDSS/ s_t_paper.html
7. Batty, M. and Xie, Y., (1997). Possible urban automata. Environ. Plan., B., 24, 175-192.
8. Cecchini, A., (1996). Urban modelling by means of cellular automata: generalised urban automata with help on-line (AUGH) model. Environ. Plan. B., 23, 721-732.
9. Clarke, K., Gaydos, L. and Hoppen, S., (1997). A self-modifying cellular automaton model of historical urbanisation in the San Francisco Bay area. Environ. Plann. B., 24, 247-261.
10. Clarke, K. and Gaydos, L., (1998). Loose-coupling a cellular automaton model and GIS: longterm urban growth prediction for San Francisco and Washington/Baltimore. Int. J. Geo. Inform. Sci., 12(7), 699-714.
11. Dietzel, C. and Clarke, K., (2006). The effect of disaggregating land use categories in cellular automata during model calibration and forecasting. Computers, Environ. Urban Sys., 30, 78-101.
12. Eastman, R. J., (2001). Guide to GIS and Image processing, Vo.2. Clark university, USA. 144.
13. Eastman, R. J., (2001). Idrisi 32, Release 2. Tutorial. Clark university, USA. 237.
14. Engelen, G., White, R., Uljee, I. and Drazan, P., (1995). Using cellular automata for integrated modelling of socio-environmental systems. Environ. Monitor. Assess., 34, 203-214.
15. Engelen, G., White, R. and Uljee, I., (1997). Integrating constrained cellular automata models, GIS and decision support tools for urban planning and policy-making. Available at: http:// www.citeseer.ist.psu.edu/71266.html
16. Herold, M., Goldstein, N. C. and Clarke, K. C., (2003). The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sens. Environ., 86, 286-302.
17. Leao, S., Bishop, I. and Evans, D., (2001). Assessing the demand of solid waste disposal in urban region by urban dynamics modeling in a GIS environment. Resources, Conservation and Recycling, 33, 289-313.
18. Leao, S., Bishop, I. and Evans, D., (2004). Simulating urban growth in a developing nation's region using a CA-based model. Journal of Urban Planning and Development, 130(3), 145-158.
19. Leao, S., Bishop, I. and Evans, D., (2004). Spatial-Temporal model for demand and allocation of waste landfills in growing urban region. Computers, Environ. Urban Sys., 28, 353-385.
20. Lee, D., (1973). Requiem for large-scale models. J. Am. Inst. Plan., 39, 163-178.
21. Lee, D., (1994). Retrospective on Large-Scale Models. J. Am. Inst. Plan., 60(1), 35-44.
22. Li, X. and Yeh, A. G. O., (2000). Modelling sustainable urban development by integration of constrained cellular automata and GIS. Int. J. Geo. Info. Sci., 14(2), 131-152.
23. Mahiny, A. S., (2003). A modeling approach to cumulative effects assessment for rehabilitation of remnant vegetation, PhD Thesis, SRES, ANU, Australia.
24. Phipps, M. and Langlois, A., (1997). Spatial dynamics, cellular automata, and parallel processing computers. Environ. Plan. B., 24, 193-204.
25. Rubenstein-Montano, B. and Zandi, I., (2000). An evaluative tool for solid waste management. J. Urban Plan. Develop., 126(3), 119-135.
26. Sembolini, F., (1997). An urban and regional model based on cellular automata. Environ. Plan. B., 24, 589-612.
27. White, R. and Engelen, G., (1993). Cellular automata and fractal urban form: a cellular modelling approach to the evolution of urban land-use patterns. Environ. Plan. A., 25, 1175-1199.
28. White, R. and Engelen, G., (1994). Cellular dynamics and GIS: Modelling spatial complexity.Geo. Sys., 1(2), 237-253.
29. White, R. and Engelen, G., (1997). Cellular automata as the basis of integrated dynamic regional modelling. Environ. Plan. B., 24, 235-246.
30. White, R., Engelen, G. and Uljee, I., (1997). The use of constrained cellular automata for highresolution modelling of urban land use dynamics. Environ. Plan. B., 24, 323-343.
31. Wu, F., (1998). SimLand: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. Int. J. Geo. Info. Sci., 12(1), 63-82.