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Lesson Navigation IconSpatial Change Analysis

Unit Navigation IconSpatial Distribution Analysis of Change Indices

Unit Navigation IconSpatial Dynamics Modelling

Unit Navigation IconSpatial Dynamics - Discontinuous case

Unit Navigation IconSpatial Dynamics - Continuous case

Unit Navigation IconSummary

Unit Navigation IconRecommended Reading

Unit Navigation IconGlossary

Unit Navigation IconBibliography

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Bibliography

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  • Al-Ghamdi, K., 2008. Land Use Change Modeling, A Cellular Automata Simulation Approach, Concepts and Applications, Case Study of Bulle, Switzerland. Unpublished (PhD Thesis Nr. 1617). University of Fribourg, Switzerland.
  • Batty, M. and Y. Xie, 1994. From cells to cities. Environment and Planning, B 21, 41-48.
  • Caloz R., Collet C., 2011. Analyse spatiale de l'information géographique. Lausanne, Switzerland: PPUR.
  • Cecchini A. e Rinaldi E., 1999. The Multi-Cellular Automaton: a tool to build more sophisticated models. A theoretical foundation and a practical implementation. In: Rizzi P., ed. Computer in Urban Planning and Urban Management 6th International Conference. Milano, FrancoAngeli.
  • Clarke, K. C., S. Hoppen and L.J. Gaydos, 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning, 247-261.
  • Clarke, K.C. and Gaydos, L.J., 1998. Loose-coupling a cellular automata model and GIS:long-term urban growth prediction for San Francisco and Washington/Baltimore. Int. J. Geographical Information Science, 12 n°7, 699-714.
  • Cliff, A. D., P. Hagget, J. K. Ord and G. Versey, 1981. Spatial Diffusion : An Historical Geography of Epidemics in an Island Community. Cambridge University Press.
  • Conway, J.. The Game of Life [online]. Available from: http://www.bitstorm.org/gameoflife.
  • Davis, J.C., 1986. Statistics and data analysis in geology. New York: John Wiley &Sons.
  • Eastman, R., 2008. IDRISI - Taiga GIS and Image processing software, Reference Manual. Worcester, Clark Labs, Clark University, USA: Worcester.
  • Frank, L., 2002. A spatial model of the diffusion of mobile communications within the European Union. In: European Regional Science Association/ERSA conference papers.
  • Gould, P., 1969. Spatial Diffusion. USA: Association of American Geographers, Commission on College Geography Resource Paper No.4.
  • Hägerstrand, T., 1967. Innovation Diffusion as a Spatial Process. Lund, Sweden: Gleerups.
  • Li, X. and A. G. Yeh, 2000. Modeling sustainable urban development by the integration of constrained cellular automata and GIS. Int. J. Geographical Information Science, 14(2), 131-152.
  • Saint_Julien, T., 2001. Processus de diffusion spatiale et modélisation du changement. In Chapitre 5, Modèles en analyse spatiale. Paris, France: Hermès Science Publication (dir. Sanders L.). [pp. 157-186.]
  • Singh, A. K., 2003. Modelling Land Use Land Cover Changes using Cellular Automata in a Geo-Spatial Environment. Unpublished (Master Thesis of Science in Geoinformatics). ITC, Enschede, The Netherland.
  • Takeyama, M. and H. Couclelis, 1997. Map dynamics: integrating cellular automata and GIS through Geo-Algebra. Int. J. Geographical Information Science, 11(1), 73-91.
  • Tim Tyler. Reversible Cellular Automata, neighborhoods, billiard ball machines, Java applets [online]. Available from: http://cell-auto.com.
  • Treuil, J-P, Mullon, Ch, Perrier, E., Piron, M., 2001. Simulations multi-agents de dynamiques spatialisées. In Chapitre 7, Modèles en analyse spatiale. Paris, France: Hermès Science Publication (dir. Sanders L.). [pp. 219-249.]
  • Unwin, D., 1975. An Introduction to Trend Surface Analysis. London, GB: Catmog 5.
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