A. Hagen, Fuzzy set approach to assessing similarity of categorical maps, International Journal of Geographical Information Science, vol.66, issue.3, pp.235-249, 2003.
DOI : 10.1016/0888-613X(87)90015-6

A. Hagen-zanker, B. Straatman, and I. Uljee, Further developments of a fuzzy set map comparison approach, International Journal of Geographical Information Science, vol.19, issue.7, pp.769-785, 2005.
DOI : 10.1080/13658810500072137

T. Houet and L. Hubert-moy, Modelling and projecting land-use and land-cover changes with a cellular automaton considering landscape trajectories : an improvement for simulation of plausible future states, EARSeL eProceedings, n°5, pp.63-76, 2006.
URL : https://hal.archives-ouvertes.fr/halshs-00009672

T. Houet and F. Gourmelon, La géoprospective ? Apport de la dimension spatiale aux approches prospectives, 2014.
DOI : 10.4000/cybergeo.26194

URL : http://doi.org/10.4000/cybergeo.26194

D. A. Jackson, PROTEST: A PROcrustean Randomization TEST of community environment concordance, ??coscience, vol.2, issue.3, pp.297-303, 1995.
DOI : 10.1080/11956860.1995.11682297

J. Arsanjani and J. , Dynamic Land-Use/Cover Change Simulation: Geosimulation and Multi Agent-Based Modelling, 2012.

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

M. Kuhnert, A. Voinov, and R. Seppelt, Comparing Raster Map Comparison Algorithms for Spatial Modeling and Analysis, Photogrammetric Engineering & Remote Sensing, vol.71, issue.8, pp.975-984, 2005.
DOI : 10.14358/PERS.71.8.975

W. Klug, G. Graziani, G. Grippa, D. Pierce, and C. Tassone, Evaluation of long range atmospheric transport models using environmental radioactivity data from the Chernobyl accident: the ATMES Report, 1992.

J. F. Mas, M. Kolb, T. Houet, M. Paegelow, C. Olmedo et al., Eclairer le choix de modèles de simlulation des changements des modes d'occupation et d'usages des sols, pp.405-430, 2011.

J. F. Mas, M. Kolb, M. Paegelow, C. Olmedo, M. T. Houet et al., Inductive pattern-based land use/cover change models: A comparison of four software packages, Environmental Modelling & Software, pp.5194-111, 2014.
DOI : 10.1016/j.envsoft.2013.09.010

URL : https://hal.archives-ouvertes.fr/hal-01187569

M. Paegelow, C. Olmedo, and M. T. , Possibilities and limits of prospective GIS land cover modelling???a compared case study: Garrotxes (France) and Alta Alpujarra Granadina (Spain), International Journal of Geographical Information Science, vol.8, issue.6, pp.697-722, 2005.
DOI : 10.1016/0022-2496(77)90033-5

URL : https://hal.archives-ouvertes.fr/halshs-01060924

M. Paegelow, C. Olmedo, and M. T. , Modelling Environmental Dynamics Advances in geomatic solutions, 2008.

M. Paegelow, C. Olmedo, and M. T. , Modelos de simulación espacio-temporal y Teledetección: el método de la segmentación para la cartografía cronológica de usos del suelo " . Serie Geográfica ? Universidad de Alcalá n° 16, pp.19-34, 2010.

M. Paegelow, . Camacho, M. T. Olmedo, J. F. Mas, T. Houet et al., Land change modelling: moving beyond projections, International Journal of Geographical Information Science, vol.27, issue.9, pp.1691-1695, 2013.
DOI : 10.1080/13658816.2013.819104

S. Perica and E. Foufoula-georgiou, Model for multiscale disaggregation of spatial rainfall based on coupling meteorological and scaling descriptions, Journal of Geophysical Research: Atmospheres, vol.4, issue.7, pp.26347-26361, 1996.
DOI : 10.1029/96JD01870

A. Pérez-vega, J. F. Mas, and A. Ligmann-zielinska, Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest, Environmental Modelling & Software, vol.29, issue.1, pp.11-23, 2012.
DOI : 10.1016/j.envsoft.2011.09.011

P. Jr and R. G. , Quantification error versus location error in comparison of categorical maps, Photogrammetric Engineering & Remote Sensing, issue.8, pp.66-1011, 2000.

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

P. Jr, R. G. Millones, and M. , Death to kappa and to some of my previous work: a better alternative, International Journal of Remote Sensing, issue.15, pp.32-4407, 2011.

P. Jr, R. G. Schneider, and L. C. , Land-cover change model validation by an ROC method for the Ipswich watershed, Agriculture, Ecosystems & Environment, vol.85, pp.239-248, 2001.

P. Jr, R. G. Huffaker, D. Denman, and K. , Useful techniques of validation for spatially explicit land-change models, Ecological Modelling, vol.179, issue.4, pp.445-461, 2004.

P. Jr, R. G. Shusas, E. Mceachern, and M. , Detecting important categorical land changes while accounting for persistence, Agriculture, Ecosystems & Environment, vol.101, pp.251-268, 2004.

P. Jr, R. G. Petrova, and S. H. , Assessing a predictive model on land change using uncertain data, Environmental Modelling & Software, vol.25, pp.299-309, 2010.

P. Jr, R. G. Boersma, W. Castella, J. C. Clarke, K. De-nijs et al., Comparing the input, output, and validation maps for several models of land change, Annals of Regional Science, vol.42, issue.1, pp.11-27, 2008.

H. O. Rodrigues, B. S. Soares-filho, and W. L. De-souza-costa, Dinamica EGO, uma plataforma para modelagem de sistemas ambientais, Anais XIII Simposio Brasileiro de Sensoriamento Remoto, pp.3089-3096, 2007.

E. J. Rykiel, Testing ecological models: the meaning of validation, Ecological Modelling, vol.90, issue.3, pp.229-244, 1996.
DOI : 10.1016/0304-3800(95)00152-2

L. J. Shirley and L. L. Battaglia, Projecting Fine Resolution Land-Cover Dynamics for a Rapidly Changing Terrestrial???Aquatic Transition in Terrebonne Basin, Louisiana, U.S.A., Journal of Coastal Research, vol.246, pp.1545-1554, 2008.
DOI : 10.2112/07-0903.1

B. S. Soares-filho, C. L. Pennachin, and G. Cerqueira, dinamica???a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier, Ecological Modelling, vol.154, issue.3, pp.217-235, 2002.
DOI : 10.1016/S0304-3800(02)00059-5

P. M. Torrens, Calibrating and validating cellular automata models of urbanization Urban Remote Sensing. Monitoring, Synthesis and Modelling in the Urban Environment, pp.335-345, 2011.

M. G. Turner, R. Constanza, and F. H. Sklar, Methods to evaluate the performance of spatial simulation models, Ecological Modelling, vol.48, issue.1-2, pp.1-18, 1989.
DOI : 10.1016/0304-3800(89)90057-4

N. Villa, M. Paegelow, C. Olmedo, M. T. 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, 2006.
DOI : 10.1162/neco.1989.1.4.425

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

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, vol.24, issue.3, pp.323-343, 1997.
DOI : 10.1068/b240323

M. Paegelow, M. T. , C. Olmedo, J. Mas, and T. Houet, Benchmarking of LUCC modelling tools by various validation techniques and error analysis, Cybergeo
DOI : 10.4000/cybergeo.26610

URL : https://hal.archives-ouvertes.fr/hal-01447925