T. Arak, P. Clifford, and D. Surgailis, Point-based polygonal models for random graphs, Advances in Applied Probability, vol.1, issue.02, pp.348-372, 1993.
DOI : 10.1080/02664768900000050

F. , L. Ber, C. Lavigne, K. Adamczyk, F. Angevin et al., Neutral modelling of agricultural landscapes by tessellation methods?application for gene flow simulation, Ecological Modelling, vol.220, pp.3536-3545, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00409081

J. Billiot, J. Coeurjolly, and R. Drouilhet, Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes, Electronic Journal of Statistics, vol.2, issue.0, pp.234-264, 2008.
DOI : 10.1214/07-EJS160
URL : https://hal.archives-ouvertes.fr/hal-00383111

D. Dereudre and F. Lavancier, Practical simulation and estimation for Gibbs Delaunay???Voronoi tessellations with geometric hardcore interaction, Computational Statistics & Data Analysis, vol.55, issue.1, pp.498-519, 2011.
DOI : 10.1016/j.csda.2010.05.018
URL : https://hal.archives-ouvertes.fr/hal-00402029

S. Dietrich, W. S. Kendall, and J. Mecke, Stochastic Geometry and its Applications, 1995.

C. Geyer, Likelihood inference for spatial point processes, Stochastic Geometry -Likelihood and Computation of Monographs on Statistics and Applied Probability, pp.79-140, 1999.

J. Charles, J. Geyer, and . Møller, Simulation procedures and likelihood inference for spatial point processes, Scand. J. Statist, vol.21, pp.359-373, 1994.

J. Peter and . Green, Reversible jump Markov chain Monte Carlo computation and Baysian model determination, Biometrika, vol.82, issue.4, pp.711-732, 1995.

J. L. Jensen and J. Møller, Pseudolikelihood for Exponential Family Models of Spatial Point Processes, The Annals of Applied Probability, vol.1, issue.3, pp.445-461, 1991.
DOI : 10.1214/aoap/1177005877

J. Kahn, Existence of Gibbs measure for a model of T-tessellation, 2010.

R. Kluszczy´nskikluszczy´nski, M. N. Van-lieshout, and T. Schreiber, Image segmentation by polygonal Markov Fields, Annals of the Institute of Statistical Mathematics, vol.25, issue.3, pp.465-486, 2007.
DOI : 10.1007/s10463-006-0062-8

J. Møller and D. Stoyan, Stochastic geometry and random tessellations, 2007.

G. Matheron, Random Sets and Integral Geometry Wiley series in probability and mathematical statistics, 1975.

S. P. Meyn and R. L. Tweedie, Markov Chains and Stochastic Stabililty, 1993.

E. Roger, M. S. Miles, and . Mackisack, A large class of random tessellations with the classic Poisson polygon distributions. Forma, pp.1-17, 2002.

W. Nagel and V. Weiß, Limits of sequences of stationary planar tessellations, Advances in Applied Probability, vol.15, issue.01, pp.123-138, 2003.
DOI : 10.1007/PL00008802

W. Nagel and V. Weiß, Crack STIT tessellations: characterization of stationary random tessellations stable with respect to iteration, Advances in Applied Probability, vol.37, issue.4, pp.859-883, 2005.
DOI : 10.1239/aap/1134587744

E. Nummelin, General irreducible Markov chains and non-negative operators, 1984.
DOI : 10.1017/CBO9780511526237

F. Papangelou, The conditional intensity of general point processes and an application to line processes, Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, pp.207-226, 1974.
DOI : 10.1007/BF00533242

D. Ruelle, Statistical Mechanics: Rigorous Results, 1969.
DOI : 10.1142/4090

T. Schreiber, Random dynamics and thermodynamic limits for polygonal Markov fields in the plane, Advances in Applied Probability, vol.22, issue.04, pp.884-907, 2005.
DOI : 10.1007/BF01198790

T. Schreiber and M. Van-lieshout, Disagreement Loop and Path Creation/Annihilation Algorithms for Binary Planar Markov Fields with Applications to Image Segmentation, Scandinavian Journal of Statistics, vol.22, issue.2, pp.264-285, 2010.
DOI : 10.1111/j.1467-9469.2009.00678.x