R. Aspinall, D. Pearson, M. Goodchild, L. Steyaert, and B. Parks, Data quality and spatial analysis: analytical use of GIS for ecological modeling GIS and Environmental modeling: progress and research issues Innovations in GIS VII. Gis and geocomputation Markov chain modelling for vegetation dynamics, -3), pp.139-154, 1996.

J. Barredo, M. Kasanko, N. Mccormick, and C. Lavalle, Modelling dynamic spatial processes: simulation of urban future scenarios through cellular automata, Landscape and Urban Planning, vol.64, issue.3, pp.145-160, 2003.
DOI : 10.1016/S0169-2046(02)00218-9

J. Barredo, L. Demicheli, C. Lavalle, M. Kasanko, and N. Mccormick, Modelling future urban scenarios in developing countries: an application case study in Lagos, Nigeria. Environment and Planning B: Planning and Design 32, pp.65-84, 2004.

J. Bascompte and R. Sole, Modeling Spatiotemporal Dynamics in Ecology Urban Modeling: Algorithms, Calibrations, Predictions. Cambridge New Developments in Urban Modeling: Simulation, Representation, and Visualization Integrated Land Use and Environmental Models: A Survey of Current Applications and Research, Environment and Urban Systems, vol.23, issue.3, pp.205-233, 1976.

I. Benenson and P. Torrens, Geosimulation: automata-based modelling of urban phenomena Neural Networks for pattern recognition, p.pp, 1995.
DOI : 10.1002/0470020997

G. G. Bonham-carter, P. Ottawa, A. Botequilha, J. Miller, J. Ahern et al., Geographic information systems for geoscientists: modelling with Measuring Landscapes. A planner´s handbook La logique floue et ses applications Comparaison de deux approches de modélisation des dynamiques spatiales par simulation multi-agents: Les approches «Spatiale» et «Acteurs», 1995.

M. Bouzeghoub, G. Gardain, P. Valduriez, A. Bregt, A. Skidmore et al., Les objets Environmental modeling: issues and discussion Environmental modelling with GIS and remote sensing Analysis of land Use Change: Theoretical and Modelling Approaches. Regional Research Institute, p.450, 2000.

J. Briot and Y. Demazeau, Principes et architecture des sytèmes multi-agents (Traité IC2 Informatique et systèmes d'information) Hermès Lavoisier, 268 pp Burks AW (1970) Essays on Cellular Automata Principles of Geographical Information Systems for Land Resources Assessment, Principles of Geographical Information Systems Spatial Information Systems and Geostatistics, 1986.

G. Buzai, J. Castella, N. Trung, T. Boissau, and S. , GIS for Sustainable Development Participatory simulation of land-use changes in the northern mountains of Vietnam: the combined use of an agentbased model, a role-playing game, and a geographic information system, Ecology and Society, vol.101, pp.1-27, 2005.

T. Centeno and J. Góis, Integrating fuzzy images and heterogeneous data to support the ambiental impact forecast, Proceedings of XII Simpósio Brasileiro de Sensoriamento Remoto, pp.3037-3044, 2005.

T. Centeno, D. Saint-joan, and J. Desachy, Approach of the spatio-temporal prediction using vectorial geographic data Proceedings of SPIE, Remote Sensing for Geography, Geology, Land Planning and Cultural Heritage Les problématiques de l'espace et le temps dans les sig, pp.96-103, 1994.

G. Christakos, P. Bogaert, and M. Serre, Temporal GIS: Advanced Functions for Field-Based Applications, 2001.
DOI : 10.1007/978-3-642-56540-3

C. Salinero and E. , Integration of Linear Programming and GIS for Landuse Modeling, International Journal of Geographical Information Systems, vol.7, issue.1, pp.71-83, 1993.

C. Salinero and E. , Teledetección Ambiental. La observación de la tierra desde el espacio Earth Observation of Global Change. The Role of Satellite Remote Sensing in Monitoring the Global Environment, Ariel Ciencia Barcelona Chuvieco Salinero E, pp.165-180, 1994.

C. Commod, La mod??lisation comme outil d'accompagnement, Natures Sciences Soci??t??s, vol.13, issue.2, pp.165-168, 2005.
DOI : 10.1051/nss:2005023

R. Costanza and A. Voinov, Landscape Simulation Modeling. A Spatially Explicit, Dynamic Approach Modélisation et simulation d'écosystèmes. Des modèles déterministes aux simulations à événements discrets, 1993.

M. Crosetto and S. Tarantola, Uncertainty and sensitivity analysis: tools for GIS-based model implementation, International Journal of Geographical Information Science, vol.59, issue.5, pp.415-437, 2001.
DOI : 10.1080/13658810110053125

URL : http://publications.jrc.ec.europa.eu/repository/handle/JRC20620

M. Crosetto, S. Tarantola, and A. Saltelli, Sensitivity and uncertainty analysis in spatial modelling based on GIS, Agriculture, Ecosystems & Environment, vol.81, issue.1, pp.71-79, 2000.
DOI : 10.1016/S0167-8809(00)00169-9

P. Croswell and S. Clark, Trends in automated mapping and geographic system hardware, Photogrammetric Engineering and Remote Sensing, vol.54, pp.1571-1576, 1988.

E. Davalo, P. Naim, C. Wiley-dietzel, H. Oguz, J. Hemphill et al., Des réseaux de neurones GIS modeling in raster Diffusion and coalescence of the Houston Metropolitan Area: evidence supporting a new urban theory, Environment and Planning-B, Planning and Design, vol.32, issue.2, pp.232-231, 1969.

S. Dragicevic and D. Marceau, A fuzzy set approach for modelling time in GIS, International Journal of Geographical Information Science, vol.14, issue.3, pp.225-245, 2000.
DOI : 10.1080/136588100240822

P. Dubé, M. Fortin, C. Canham, and D. Marceau, Quantifying gap dynamics at the patch mosaic level using a spatially-explicit model of a northern hardwood forest ecosystem, Ecological Modelling, vol.142, issue.1-2, pp.39-60, 2001.
DOI : 10.1016/S0304-3800(01)00238-1

J. Eastman, . Worcester, J. Ma-eastman, J. Mckendry, J. Eastman et al., IDRISI, A grid based geographic analysis system, Version 41 The evolution of Modeling Tools in GIS. Directions Magazine Idrisi Andes Tutorial Change and Time Series Analysis in GIS A procedure for Multi- Objective Decision Marking, GIS under conditions of Competing Objectives. Proceedings of EGIS'93, pp.438-447, 1991.

J. Emshoff and R. Sisson, Design and use of computer simulation models. Mac Millan References Cellular Automata ? LUCMOD (land use change modelling ) LUCC website, International Project Office The MOLAND model for urban and regional growth forecast. A tool for the definition of sustainable development paths, Londres Engelen G, 1970.

N. Ferrand, R. Flamm, and M. Turner, Modèles multi-agents pour l'aide à la décision et la négociation en aménagement du territoire. Thesis Geographic information systems, spatial modelling and policy evaluation Alternative model formulations for stochastic simulation of landscape change, Landscape Ecology, vol.9, issue.1, pp.37-44, 1993.

R. Forman, A. Fotheringham, M. Wegener, F. Franc, A. Sanders et al., Land Mosaics: The Ecology of Landscapes and Regions Urban dynamics Spatial models and GIS. New potencial and new models Modèles et systèmes multi-agents en écologie et en géographie: état de l'art et comparaison avec les approches classiquesed) Modèles et systèmes multi-agents pour la gestion de l'environnement et des territoires Spatio-temporal object-oriented data model for disaggregate travel behaviour, Cambridge EEUU Forrester JW Thériault M Transactions in GIS, vol.285, issue.63, pp.277-294, 1969.

M. Gardner, The Fantastic Combinations of John Conway's New Solitaire Game 'Life', Scientific American, vol.23, issue.4, pp.120-123, 1970.

M. Gardner, Mathematical Games, Scientific American, vol.224, issue.2, pp.112-117, 1971.
DOI : 10.1038/scientificamerican0271-112

A. Giacomeli, J. Giarratano, and G. Rilay, Integration of GIS and Simulation Models (ed) GIS for Sustainable Development Expert systems. Principles and programming, 2005.

G. Delgado, M. Barredo, and J. , Sistemas de Información Geográfica y evaluación multicriterio en la ordenación del territorio (GIS and multicriteria evaluation for urban and regional planning) Ra-Ma, 2005.

G. Delgado, M. Tarantola, and S. , GLOBAL sensitivity analysis, GIS and multi???criteria evaluation for a sustainable planning of a hazardous waste disposal site in Spain, International Journal of Geographical Information Science, vol.1, issue.4, pp.449-466, 2006.
DOI : 10.1061/(ASCE)0733-947X(1989)115:6(661)

M. Goodchild, B. Parks, L. Steyaert, M. Goodchild, L. Steyaert et al., Environmental modeling with GIS GIS and Environmental modeling progress and research issues Cloudy crystal balls. An assessment of recent European and global scenarios studies and model. International Centre for Integrative Studies (ICIS) for EEA Integrated Land Use and Environmental Models: A Survey of Current Applications and Research Fuzzy set approach to assessing similarity of categorical maps, International Journal of Geographical Information Science, vol.112, issue.173, pp.235-249, 1993.

J. Hanley and B. Mcneil, The meaning and use of the area under a receiver operating characteristic (ROC) curve., Radiology, vol.143, issue.1, pp.29-36, 1982.
DOI : 10.1148/radiology.143.1.7063747

S. Hathout, The use of GIS for monitoring and predicting urban growth in East and West St Paul, Canada Journal of Environmental Management, vol.66, pp.229-238, 2002.

D. Hebb, The Organization of Behavior Error propagation in environmental modeling with GIS Analyse orientée objet et modélisation par simulation Competition and coexistence the effects of ressources transport and supply rates, Angelis De DL The American Naturalist, vol.144, issue.6, pp.335-954, 1949.

I. Gra and A. Reznikov, Landscape-dynamical scenarios simulation and mapping in geographic information systems, 17th Inter Cartographic Conference, pp.800-804, 1995.

B. Issaev, P. Nijkamp, P. Rietveld, and F. Snickars, Multiregional Economic Modeling Amsterdam North-Holland Jacewicz P (2002) Modélisation et simulation distribuées par automates cellulaires, pp James W (1890) Association. In: Psychology (Briefer Course), pp.253-279, 1982.

E. Jen, Aperiodicity in one-dimensional cellular automata, Physica D: Nonlinear Phenomena, vol.45, issue.1-3, pp.3-18, 1990.
DOI : 10.1016/0167-2789(90)90169-P

M. Kanevski and M. Maignan, Analysis and modelling of spatial environmental data, p.pp, 2004.

T. Kuhlman, A. Tabeau, A. Gaaff, F. Tongeren, . Van et al., Linking models in land use simulation. Application of the Land Use Scanner to changes in agricultural area, Proceedings of the 45th congress of the European Regional Science Association, 2005.

T. Lai and S. Wong, Stochastic Neural Networks With Applications to Nonlinear Time Series, Journal of the American Statistical Association, vol.96, issue.455, pp.968-981, 2001.
DOI : 10.1198/016214501753208636

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

E. Lambin and H. Geist, Land-Use and Land-Cover Change Local processes and global impacts Automates cellulaires, Time in Geographic Information Systems, 1992.

G. Langran, Issues of implementing a spatiotemporal system, International journal of geographical information systems, vol.10, issue.4, pp.25-43, 1993.
DOI : 10.1080/02693798908941494

S. Lardon, J. Cheylan, and T. Libourel, Le temps dans les sig: dynamique des entités spatio-temporelles. In: Les temps de l'environnement, pp.147-152, 1997.

R. Laurini and D. Thompson, Fundamentals of spatial information systems, p.pp, 1992.

L. Berre, M. Brocard, and M. , Modélisation et espace In: Espaces, territoires et sociétés. Les recherches françaises en perspective, Colloque de la section 39 du Comité National de la Recherche Scientifique, pp.23-30, 1997.

R. Lee, E. St-pp-lippe, S. De, J. Glenn-lewin, and D. , Fuzzy-Neuro Approach to Agent Applications. From the AI Perspective to Modern Ontology Markov models and succession a test from a heathland in the Netherlands, Journal of Ecology, vol.350, issue.73, pp.775-791, 1985.

D. Logofet and E. Lesnaya, The mathematics of Markov models: what Markov chains can really predict in forest successions, Ecological Modelling, vol.126, issue.2-3, pp.258-298, 2000.
DOI : 10.1016/S0304-3800(00)00269-6

P. Longley, M. Batty, . Pa, M. Goodchild, D. Maguire et al., Spatial Analysis: Modelling in a GIS Environment Advanced spatial analysis: the CASA book of GIS. Redlands Geographical Information Systems Geographic Information Systems and Science Geospatial Analysis ? A comprehensive Guide to Principles, Techniques and Software Tools, Landscape and Urban Planning 55, pp.271-285, 1996.

D. Maguire, Computers in Geography. Longman Group, 1989.

K. Mcgarigal and B. Marks, FRAGSTATS: Spatial pattern analysis program for Quantifying Landscape Structure. USDA For. Serv, Gen. Tech. Rep. PNW, p.351, 1995.
DOI : 10.2737/PNW-GTR-351

J. Malczewski, GIS and multicriteria decisión analysis, 1999.

B. Martín and A. Sanz, Redes neuronales y sistemas borrosos. Edit Ra-Ma, 442 pp Metropolis N, Ulam S (1949) The Monte Carlo method, Journal of the American Statistical Association, vol.44, pp.335-341, 2006.

T. Mezzadri-centeno, La modélisation et la projection spatio-temporelle dans les SIG. Thesis, Toulouse, 140 pp Minsky ML (1965) Matter, minds and models. International Federation of Information Processing Congress 1, pp.45-49, 1998.

M. G. Minsky, . London, &. Taylor, and J. Francis-neumann-von, Spatial modeling of forest landscape change: approaches and applications. Cambridge An Introduction to the theory of spatial object modelling for Theory of Self-Reproducing Automata Land- Use and Land-Cover Change (LUCC) Implementation Strategy, 1966.

H. Odum, Trophic Structure and Productivity of Silver Springs, Florida, Ecological Monographs, vol.27, issue.1, pp.55-212, 1957.
DOI : 10.2307/1948571

S. Openshaw, R. Abrahart, . Geocomputation, T. London, F. Ott et al., Time-integrative geographic information systems management and analysis of spatio-temporal data, 2000.

D. Paque, S. Manson, M. Janssen, M. Hoffman, and P. Deadman, Agent- Based Models of Land-Use and Land Cover Change (ABM/LUCC) Report and Review of an International Workshop, Multi- Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review. Annals of the Association of American Geographers 93, pp.314-337, 2001.

U. Parlitz and C. Merkwirth, Nonlinear prediction of spatio-temporal time series, Proceedings, pp.317-322, 2000.

F. Petry, V. Robinson, and M. Cobb, Fuzzy modeling with spatial information for geographic problems Maximum entropy modeling of species geographic distributions, Ecological Modelling, vol.190, pp.231-259, 2005.

C. Poix and Y. Michelin, Landscape simulation??: a multi-agent model to take social interactions into consideration, Cybergeo, vol.116, issue.11, 2000.
DOI : 10.4000/cybergeo.2242

R. Pontius and . Jr, Statistical methods to partition effects of quantity and location during comparison of categorical maps at multiple resolutions, Photogrammetric Engineering & Remote Sensing, vol.68, issue.10, pp.1041-1049, 2002.

R. Pontius, . Jr, and K. Batchu, Using the Relative Operating Characteristic to Quantify Certainty in Prediction of Location of Land Cover Change in India, Transactions in GIS, vol.240, issue.4857, pp.467-484, 2003.
DOI : 10.1023/A:1018553807765

R. Pontius, . Jr, H. Chen, . Jr, and L. Schneider, Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA, Agriculture, Ecosystems & Environment, vol.85, issue.1-3, pp.239-248, 2001.
DOI : 10.1016/S0167-8809(01)00187-6

R. Pontius, . Jr, J. Cornell, and C. Hall, Modeling the spatial pattern of land-use change with GEOMOD2: application and validation for Costa Rica, Agriculture, Ecosystems & Environment, vol.85, issue.1-3, pp.191-203, 2001.
DOI : 10.1016/S0167-8809(01)00183-9

R. Pontius, . Jr, E. Shusas, and M. Mceachern, Detecting important categorical land changes while accounting for persistence, Agriculture, Ecosystems & Environment, vol.101, issue.2-3, pp.251-268, 2004.
DOI : 10.1016/j.agee.2003.09.008

D. Quattrochi and M. Goodchild, Scale in Remote Sensing and GIS Scenarios of future urban land use in Europe, Boca Raton Rounsevell M, vol.406, pp.619-636, 1997.

H. Rodrigues, S. Filho, B. De-souza-costa, and W. , Dinamica EGO, uma plataforma para modelagem de sistemas ambientais, pp.3089-3096, 2007.

A. Rodríguez-bachiller, J. Glasson, . London, &. Taylor, and J. Francis-roman, Expert systems and geographical information systems for impact assessment Algorithmique parallèle et simulation haute performance appliquées à la dynamique de populations de parasites, 2000.

F. Rosenblatt, The perceptron: A probabilistic model for information storage and organization in the brain., Psychological Review, vol.65, issue.6, pp.386-408, 1958.
DOI : 10.1037/h0042519

A. Ruas, Modèle de généralisation de données urbaines à base de contraintes et d'autonomie, Cybergéo, vol.107, issue.14, 1999.
DOI : 10.4000/cybergeo.5227

URL : http://doi.org/10.4000/cybergeo.5227

D. Saint-joan and J. Desachy, A fuzzy expert system for geographical problems: an agricultural application, Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium, pp.469-476, 1995.
DOI : 10.1109/FUZZY.1995.409728

M. Savall, J. Pécuchet, N. Chaignaud, and M. Itmi, YAMAM ? un modèle 'organisation pour les systèmes multi-agents. Implémentation dans la plateforme Phoenix, Proceedings of 3ème Conférence Francophone MOSIM (Modélisation et simulation), pp.25-27, 2001.

R. Schultz, T. Centeno, and M. Delgado, Spatio-temporal prediction by means of a fuzzy rule-based approach, Proceedings of the IEEE International Conference on Fuzzy Systems -FUZZ-IEEE'2006, pp.6621-6628, 2006.

R. Singh, J. Fox, and Y. Himiyama, Land use and cover change. Enfield, NH, Science Publishers Skidmore A (ed) (2002) Environmental modelling with GIS and remote sensing DINAMICA ? a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier, Ecological Modelling, vol.154, pp.217-235, 2001.

S. Filho, B. Nepstad, D. Curran, L. Voll, E. Cerqueira et al., Modeling conservation in the Amazon basin, Nature, pp.440-520, 2006.

C. Spearman, "General Intelligence," Objectively Determined and Measured, The American Journal of Psychology, vol.15, issue.2, pp.201-293, 1904.
DOI : 10.2307/1412107

K. Stahl, Theories of Urban Business Location In: Handbook of Regional and Urban Economics, pp.759-820, 1986.

J. Stillwell and G. Clarke, Applied GIS and spatial analysis, 2004.
DOI : 10.1002/0470871334

N. Tate and P. Atkinson, Modelling scale in Geographical Information Science Resource competition between planktonic algae: an experimental and theoretical approach, Ecology, vol.58, pp.338-348, 1977.

J. Tong-tong, P. Tosic, and G. Agha, La logique floue. Hermès Understanding and Modeling Agent Autonomy in Dynamic Multi-Agent, Multi-Task Environments, Proc First European Workshop on Multi-Agent Systems (EUMAS '03), pp.18-19, 1995.

P. Tosic and G. Agha, Concurrency vs. sequential interleavings in 1-D threshold cellular automata, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings., pp.26-30, 2004.
DOI : 10.1109/IPDPS.2004.1303188

P. Tosic and G. Agha, Towards a Hierarchical Taxonomy of Autonomous Agents The Hague, Proc IEEE Int'l Conference on Systems, Man and Cybernetics, pp.10-13, 2004.

W. Tobler, Cellular Geography, pp.379-386, 1979.
DOI : 10.1007/978-94-009-9394-5_18

B. Tucker and M. Arnand, The Application of Markov Models in Recovery and restoration, International Journal of Ecological Environmental Sciences, vol.30, pp.131-140, 2004.

A. Turing, Computer machinery and intelligence, pp.433-460, 1950.

P. Verburg, W. Soepboer, A. Veldkamp, R. Limpiada, V. Espaldon et al., Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model, Environmental Management, vol.30, issue.3, pp.391-405, 2002.
DOI : 10.1007/s00267-002-2630-x

P. Verburg, K. Kasper, R. Pontius, . Jr, and A. Veldkamp, Modelling land use and land cover change Land-Use and Land-Cover Change: Local processes and global impacts, pp.117-135, 2006.

P. Verburg, C. Schulp, N. Witte, and A. Veldkamp, Downscaling of land use change scenarios to assess the dynamics of European landscapes, Agriculture, Ecosystems & Environment, vol.114, issue.1, pp.39-56, 2006.
DOI : 10.1016/j.agee.2005.11.024

N. Villa, M. Paegelow, C. Olmedo, M. Cornez, L. Ferraty et al., Various Approaches for Predicting Land Cover in Mountain Areas, Communications in Statistics - Simulation and Computation, vol.36, issue.1, pp.73-86, 2007.
DOI : 10.1162/neco.1989.1.4.425

URL : https://hal.archives-ouvertes.fr/hal-00144147

J. Viet and . Van, Validation of land use change models; a case study on the Environment Explorer. WUR, Centre for Geo-information, thesis report GIRS-2006-03URL http, 2006.

J. Wainwright and M. Mulligan, Environmental Modelling: Finding Simplicity in Complexity, CLEAN - Soil, Air, Water, vol.43, issue.9, 2004.
DOI : 10.1002/clen.201570095

R. White and G. Engelen, Cellular automata as the basis of integrated dynamic regional modeling. Environment and Planning B: Planning and Design 24, pp.235-246, 1997.

R. White, G. Engelen, and I. Uljee, The use of constrained cellular automata for high resolution modelling of urban land use dynamics. Environment and Planning B: Planning and Design 24, pp.323-343, 1997.

R. White, C. Engelen, I. Uljee, C. Lavalle, and D. Erlich, Developing an Urban Land Use Simulator for European Cities Adaptive switching circuits, IRE WESCON Convention Record, pp.96-104, 1960.

A. Wilson, J. Wu, and D. Marceau, Urban and Regional Models in Geography and Planning Some recent Results and Questions about Cellular Automata Dynamic Systems and Cellular Automata GIS: A Computing Perspective Modelling complex ecological systems: An introduction, Academic Press, 399 pp Worboys MF, Duckham M, pp.1-6, 1974.

Q. Wu, Monitoring and predicting land use change in Beijing using remote sensing and GIS, Landscape and Urban Planning, vol.78, issue.4, pp.322-333, 2006.
DOI : 10.1016/j.landurbplan.2005.10.002

A. Yeh and X. Li, A Constrained CA Model for the Simulation and Planning of Sustainable Urban Forms by Using GIS, Environment and Planning B: Planning and Design, vol.23, issue.5, pp.733-753, 2001.
DOI : 10.1068/b2740

L. Zadeh, Fuzzy sets, Information and Control, vol.8, issue.3, pp.338-353, 1965.
DOI : 10.1016/S0019-9958(65)90241-X

L. Zadeh, Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems 1, pp.3-28, 1978.

B. Zeigler, Theory of Modeling and Simulation 435 pp GIS based modelling software ArcGIS http, 1976.