Cellular Automata Based Model of Urban Spatial Growth

Journal of the Indian Society of Remote Sensing

Volumn 38, Issue 4, 2010, Pages 604-610

  Maithani, Sandeep ^a  

^a INDIAN INSTITUTE OF REMOTE SENSING   (India)

Author keywords

Cellular Automata; GIS; Kappa coefficient; Multi criteria evaluation; Spatial urban growth

Indexed keywords

CALIBRATION; CELLULAR AUTOMATON; GIS; MARKOV CHAIN; MULTICRITERIA ANALYSIS; REMOTE SENSING; SPATIAL PLANNING; URBAN DEVELOPMENT; URBAN GROWTH;

EID: 79952899823     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-010-0053-3     Document Type: Article

References (24)

1. Batty, M. (1996). Urban change. Environment & Planning B, 23, 513-514.
2. Batty, M. (2001). Urban evolution on the desktop: simulation with the use of extended cellular automata. Environment & Planning A, 30, 1943-1967.
3. Batty, M., & Xie, Y. (1994a). Modelling inside GIS Part 1: model structures, exploratory spatial data analysis and aggregation. International Journal of Geographical Information Science, 8(3), 291-307.
4. Batty, M., & Xie, Y. (1994b). Modelling inside GIS Part 2: selecting and calibrating urban models using ARC/INFO. International Journal of Geographical Information Science, 8(1), 451-470.
5. Batty, M., & Xie, Y. (1994c). From cells to cities. Environment & Planning B, 21, 31-48.
6. Batty, M., & Xie, Y. (1997). Possible urban automata. Environment & Planning B, 24, 175-192.
7. Clarke, K. C., & Gaydos, L. (2001). Loose-coupling a CA model and GIS: long-term urban growth prediction for San Franciso and Washington/Baltimore. International Journal of Geographical Information Science, 12(7), 699-714.
8. Clarke, K. C., Gaydos, L., & Hoppen, S. (1997). A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment & Planning B, 24, 247-261.
9. Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
10. Congalton, R. G., & Green, K. (1999). Assessing the accuracy of remotely sensed data: Principles and practices (1st ed.). Florida: CRC Press.
11. Jacob, N., Krishnan, R., Harmsen, K., & Murali Krishna, I. V. (2006). Spatial dynamic modeling through cellular automata for simulating land use change dynamics. International Journal of Geoinformatics, 2(2), 31-38.
12. Kiefer, R. W., & Lillesand, T. M. (2000). Remote sensing and image interpretation (1st ed.). New York: Wiley.
13. Li, X., & Yeh, A. G. O. (2000). Modeling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science, 14(2), 131-152.
14. Malczewski, J. (1999). GIS and multicriteria decision analysis (1st ed.). New York: Wiley.
15. Malczewski, J. (2006). GIS-based multicriteria decision analysis: a survey of the literature. International Journal of Geographical Information Science, 20(7), 703-726.
16. White, R. (2001). Cities and cellular automata. Discrete Dynamics in Nature and Society, 2, 111-125.
17. White, R., & Engelen, G. (1993). Cellular automata and fractal urban form: a cellular modeling approach to the evolution of urban land use patterns. Environment & Planning A, 25, 1175-1199.
18. White, R., & Engelen, G. (1994). Cellular dynamics and GIS: modelling spatial complexity. Geographical Systems, 1, 237-253.
19. White, R., & Engelen, G. (1997). Cellular automata as the basis of integrated dynamic regional modelling. Environment & Planning B, 24, 235-246.
20. Wu, F. (2001a). An empirical model of intrametropolitan land use changes in a Chinese city. Environment & Planning B, 25, 245-263.
21. Wu, F. (2001b). Simland: a prototype to simulate land conversion through the integrated GIS and CA with AHP-derived transition rules. International Journal of Geographical Information Science, 12, 63-82.
22. Wu, F. (2002). Calibration of stochastic cellular automata: the application to rural-urban land conversions. International Journal of Geographical Information Science, 16(8), 795-818.
23. Wu, F., & Webster, C. J. (2000). Simulation artificial cities in a GIS environment: urban growth under alternative regulation regime. International Journal of Geographical Information Science, 14(7), 625-648.
24. Wu, F., & Webster, C. J. (2001). Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environment & Planning B, 25, 103-126.