Abstract
Cellular automata (CA) is an efficient model to simulate land use and coverage change (LUCC) process. However, the spatial scale decisions of geographic cellular automata are often made arbitrarily. This article investigates the effect of changing cell size and neighborhood configuration on the result prediction accuracy of the CA-Markov model and the morphology of land use change simulation result. The research shows that spatial scale has great impact on the simulation results of CA-Markov model. Therefore, the selection of cell size must be careful. Neighborhood configuration also has impact on the simulation results of CA-Markov model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Lambin, E.F., Turner, B.L., et al.: The causes of land-use and land-cover change: moving beyond the myths. Global Environmental Change (2001), doi:10.1016/S0959-3780(01)00007-3
Meyer, W.B., Turner, I.B.L.: Change in land use and land cover: a global perspective. Cambridge University Press, Cambridge (1994)
Batty, M.: Urban evolution on the desktop: simulation with the use of extended cellular automata. Environment and Planning A (1998), doi:10.1068/a301943
Batty, M., Xie, Y.C., Sun, Z.L.: Modelling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems (1999), doi:10.1016/S0198-9715(99)00015-0
Li, X., Yeh, A.G.: Modelling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science (2000), doi:10.1080/136588100240886
Li, X., Yeh, A.G.: Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science (2002), doi:10.1080/13658810210137004
Clarke, K.C., Hoppen, S., Gaydos, L.J.: A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B: Planning and Design (1997), doi:10.1068/b240247
Couclelis, H.: From cellular automata to urban models: new principles for model development and implementation. Environment and Planning B: Planning and Design (1997), doi:10.1068/b240165
Jantz, C.A., Goetz, S.J., Shelley, M.K.: Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Balti-more-Washington metropolitan area. Environment and Planning B: Planning and Design (2003), doi:10.1068/b2983
Yang, X., Lo, C.P.: Modeling urban growth and landscape change in the Atlanta metropolitan area. International Journal of Geographical Information Science (2003), doi:10.1080/1365881031000086965
Torrens, P.M., O’Sullivan, D.: Cellular automata and urban simulation: where do we go from here? Environment and Planning B: Planning and Design (2001), doi:10.1068/b2802ed
Ward, D.P., Murray, A.T., Phinn, S.R.: A stochastically constrained cellular model of urban growth. Computers, Environment and Urban Systems (2000), doi:10.1016/S0198-9715(00)00008-9
Wu, F.L., Webster, C.T.: Simulation of land development through the integration of cellular automata and multicriteria evaluation. Environment and Planning B: Planning and Design (1998), doi:10.1068/b250103
Benenson, I.: Warning! The scale of land-use CA is changing! Computers, Environment and Urban Systems (2007), doi:10.1016/j.compenvurbsys.01.001
Kocabas, V., Dragicevic, S.: Assessing cellular automata model behaviour using a sensitivity analysis approach. Computers, Environment and Urban Systems (2006), doi:10.1016/j.compenvurbsys.2006.01.001
Jantz, C.A., Goetz, S.J.: Analysis of scale dependencies in an urban land-use-change model. International Journal of Geographical Information Science, doi:10.1080/13658810410001713425
Menard, A., Marceau, D.J.: Exploration of spatial scale sensitivity in geographic cellular automata. Environment and Planning B: Planning and Design (2005), doi:10.1068/b31163
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Zhao, G. (2013). Effects of Spatial Scale in Cellular Automata Model for Land Use Change. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28807-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-28807-4_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28806-7
Online ISBN: 978-3-642-28807-4
eBook Packages: EngineeringEngineering (R0)