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Conclusions and Recommendations

  • Jamal Jokar Arsanjani
Chapter
Part of the Springer Theses book series (Springer Theses)

Abstract

This chapter puts forward certain advisory points arising from the results and discussions of this research. It will highlight the directions of probable future works in this perspective. The investigated strengths and weaknesses of each particular model will be challenged. Furthermore, we will review the limitations of the developed geosimulation model.

Keywords

Cellular Automaton Probability Surface Urban Expansion Markov Chain Model Cellular Automaton Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Crosetto M, Tarantola S (2001) Uncertainty and sensitivity analysis: tools for GIS-based model implementation. Int J Geogr Inf Sci 15(5):415–437CrossRefGoogle Scholar
  2. Hu Z, Lo C (2007) Modeling urban growth in Atlanta using logistic regression. Comput, Environ Urban Syst 31(6):667–688CrossRefGoogle Scholar
  3. Johnston RJ (2000) The dictionary of human geography. Wiley, New YorkGoogle Scholar
  4. Kamusoko C, Aniya M, Adi B, Manjoro M (2009) Rural sustainability under threat in Zimbabwe—simulation of future land use/cover changes in the Bindura district based on the Markov—cellular automata model. Appl Geogr 29(3):435–447CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg  2012

Authors and Affiliations

  1. 1.Department of Geography and Regional ResearchUniversity of ViennaViennaAustria

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