Assessing cellular automata model behaviour using a sensitivity analysis approach

Computers, Environment and Urban Systems

Volumn 30, Issue 6, 2006, Pages 921-953

  Kocabas, Verda ^a   Dragicevic, Suzana ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Cellular automata; Geographical information system (GIS); Land use change; Sensitivity analysis; Spatial metrics; Spatial modelling

Indexed keywords

AUTOMATA THEORY; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS;

CELLULAR AUTOMATA; LAND-USE CHANGE; SPATIAL METRICS; SPATIAL MODELLING;

URBAN PLANNING;

CELLULAR AUTOMATON; GIS; LAND USE CHANGE; NEIGHBORHOOD; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS; URBAN GROWTH;

EID: 33750634257     PISSN: 01989715     EISSN: None     Source Type: Trade Journal    
DOI: 10.1016/j.compenvurbsys.2006.01.001     Document Type: Article

References (52)

1. Allen P.M. Cities and regions as evolutionary complex systems. Geographical Systems 4 (1997) 103-130
2. Barredo J.I., Kasanko M., McCormick N., and Lavalle C. Modelling dynamic spatial processes: Simulation of urban future scenarios through cellular automata. Landscape and Urban Planning 64 3 (2003) 145-160
3. Batty M. Cellular automata and urban form: A primer. Journal of American Planning Association 63 2 (1997) 266-274
4. Batty M. Urban evolution on the desktop: Simulation with the use of extended cellular automata. Environment and Planning A 30 11 (1998) 1943-1967
5. Batty M., and Longley P. Fractal cities: A geometry of form and function (1994), Academic Press, London, San Diego
6. Batty M., and Xie Y. From cells to cities. Environment and Planning B - Planning & Design 21 (1994) S31-S48
7. Berling-Wolff S., and Wu J. Modeling urban landscape dynamics: A case study in phoenix, USA. Urban Ecosystems 7 3 (2004) 215-240
8. Chen Q., and Mynett A.E. Effects of cell size and configuration in cellular automata based prey-predator modelling. Simulation Modelling Practice and Theory 11 7-8 (2003) 609-625
9. Childress W.M., Rykiel E.J., Forsythe W., Li B.L., and Wu H.I. Transition rule complexity in grid-based automata models. Landscape Ecology 11 5 (1996) 257-266
10. Clarke, K. C. (2003). The limits of simplicity: Toward geocomputational honesty in urban modeling. Paper presented at the 7th international conference on GeoComputation, University of Southampton, UK.
11. Clarke K.C., and Gaydos L.J. Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science 12 7 (1998) 699-714
12. Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20 (1960) 37-46
13. Congalton R.G., and Green K. Assessing the accuracy of remotely sensed data: Principles and practices (1999), Lewis Publications, Boca Raton, FL; London
14. Couclelis H. Cellular worlds - a framework for modeling micro-macro dynamics. Environment and Planning A 17 5 (1985) 585-596
15. Crosetto M., Tarantola S., and Saltelli A. Sensitivity and uncertainty analysis in spatial modelling based on GIS. Agriculture, Ecosystems & Environment 81 1 (2000) 71-79
16. Dietzel C., and Clarke K.C. Spatial differences in multi-resolution urban automata modeling. Transactions in GIS 8 4 (2004) 479-492
17. Elkie, P. C., Remprel, R. S., & Carr, A. P. (1999). Patch analyst user's manual: A tool for quantifying landscape structure. Retrieved 22.3.2004.
18. Hägerstrand T. Innovation diffusion as a spatial process (1967), University of Chicago Press, Chicago
19. Herold M., Couclelis H., and Clarke K.C. The role of spatial metrics in the analysis and modeling of urban land use change. Computers, Environment and Urban Systems 29 4 (2005) 369-399
20. Herold M., Goldstein N.C., and Clarke K.C. The spatiotemporal form of urban growth: Measurement, analysis and modeling. Remote Sensing of Environment 86 3 (2003) 286-302
21. Herold M., Scepan J., and Clarke K.C. The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environment and Planning A 34 8 (2002) 1443-1458
22. Heuegger, M. (2002). The CA extension. Retrieved 22.3.2004.
23. Jenerette G.D., and Wu J.G. Analysis and simulation of land-use change in the central Arizona-Phoenix region, USA. Landscape Ecology 16 7 (2001) 611-626
24. Landis J.R., and Koch G.G. Measurement of observer agreement for categorical data. Biometrics 33 1 (1977) 159-174
25. Laurence W., and Carstensen J. A measure of similarity for cellular maps. The American Cartographer 14 4 (1987) 345-358
26. Li X., and Yeh A.G.O. Modelling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science 14 2 (2000) 131-152
27. Lillesand T.M., and Kiefer R.W. Remote sensing and image interpretation (1994), Wiley & Sons, New York
28. Liu X., and Andersson C. Assessing the impact of temporal dynamics on land-use change modeling. Computers, Environment and Urban Systems 28 1-2 (2004) 107-124
29. Mandelbrot B. The fractal geometry of nature (1983), Freeman, New York
30. McGarigal, L., & Marks, B. J. (1994). FRAGSTATS manual: Spatial pattern analysis program for quantifying landscape structure. Retrieved 22.3.2004.
31. Menard A., and Marceau D.J. Exploration of spatial scale sensitivity in geographic cellular automata. Environment and Planning B - Planning & Design 32 5 (2005) 693-714
32. Milne B.T. Lessons from applying fractal models to landscape patterns. In: Turner M.G. (Ed). Quantitative methods in landscape ecology: The analysis and interpretation of landscape heterogenity (1991), Springer-Verlag, New York 199-235
33. O'Neill R.V., Krummel J.R., Gardner R.H., Sugihara G., Jackson B., DeAngelis D.L., et al. Indices of landscape pattern. Landscape Ecology 1 3 (1988) 153-162
34. O'Sullivan, D., & Torrens, P. M. (2000). Cellular models of urban systems (Working paper No. 22). London, UK: University College London, The Centre for Advanced Spatial Analysis.
35. Portugali J. Self-organization and the city (2000), Springer, Berlin, New York
36. Saltelli A., Chan K.P.S., and Scott E.M. Sensitivity analysis (2000), John Wiley & Sons
37. SANDAG (2004). San Diego's Regional Planning agency. Maps and GIS. GIS downloads. Retrieved 22.3.2004.
38. Schelling T.C. Dynamic models of segregation. Journal of Mathematical Sociology 1 2 (1971) 143-186
39. Straatman B., White R., and Engelen G. Towards an automatic calibration procedure for constrained cellular automata. Computers, Environment and Urban Systems 28 1-2 (2004) 149-170
40. Tobler W.R. Cellular geography. In: Gale S., and Olsson G. (Eds). Philosophy in geography (1979), D. Reidel Publishing Company, Holland 379-386
41. Torrens, P. M. (2001). Can geocomputation save urban simulation? Throw some agents into the mixture, simmer, and wait... (Working paper No. 31). London, UK: University College London, The Centre for Advanced Spatial Analysis.
42. Torrens, P. M., & O'Sullivan, D. (2000). Cities, cells, and complexity: Developing a research agenda for urban geocomputation. Paper presented at the 5th international conference on GeoComputation, University of Greenwich, UK.
43. White R., and Engelen G. Cellular automata and fractal urban form: A cellular modelling approach to the evaluation of urban land-use patterns. Environment and Planning A 25 (1993) 1175-1199
44. White R., and Engelen G. Cellular automata as the basis of integrated dynamic regional modelling. Environment and Planning B - Planning & Design 24 2 (1997) 235-246
45. White R., and Engelen G. High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, Environment and Urban Systems 24 5 (2000) 383-400
46. White R., Engelen G., and Uljee I. The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics. Environment and Planning B - Planning & Design 24 3 (1997) 323-343
47. Wolfram S. Cellular automata as models of complexity. Nature 311 5985 (1984) 419-424
48. Wu F. An experiment on the generic polycentricity of urban growth in a cellular automatic city. Environment and Planning B - Planning & Design 25 5 (1998) 731-752
49. Wu F., and Webster C.J. Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environment and Planning B - Planning & Design 25 1 (1998) 103-126
50. Yeh A.G., and Li X. A constrained CA model for the simulation and planning of sustainable urban forms by using GIS. Environment and Planning B - Planning & Design 28 5 (2001) 733-753
51. Yeh, A. G., & Li, X. (2003). Error propagation and model uncertainties of cellular automata in urban simulation with GIS. Paper presented at the 7th International Conference on GeoComputation, University of Southampton, UK.
52. Zeng H., and Wu X.B. Utilities of edge-based metrics for studying landscape fragmentation. Computers, Environment and Urban Systems 29 2 (2005) 159-178