V. Alexandrov and M. Gerstein, Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures

J. Aurbacher and S. Dabbert, Generating crop sequences in land-use models using maximum entropy and Markov chains, Agricultural Systems, vol.104, issue.6, pp.470-479, 2011.
DOI : 10.1016/j.agsy.2011.03.004

J. Bailly, P. Monestiez, and P. Lagacherie, Modelling Spatial Variability Along Drainage Networks with Geostatistics, Mathematical Geology, vol.37, issue.1, pp.515-539, 2006.
DOI : 10.1002/9780470316726

E. Leonard, T. Baum, and . Petrie, Statistical inference for probabilistic functions of finite state Markov chains, The Annals of Mathematical Statistics, vol.37, issue.6, pp.1554-1563, 1966.

L. E. Baum, T. Petrie, G. Soules, and N. Weiss, A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains, The Annals of Mathematical Statistics, vol.41, issue.1, pp.164-171, 1970.
DOI : 10.1214/aoms/1177697196

D. Benboudjema and W. Pieczynski, Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.8, pp.1367-1378, 2007.
DOI : 10.1109/TPAMI.2007.1059
URL : https://hal.archives-ouvertes.fr/hal-01347974

Y. Bengio, Markovian models for sequential data Neural computing surveys, pp.1-30, 1999.

B. Benmiloud and W. Pieczynski, Estimation des paramètres dans les chaînes de Markov cachées et segmentation d'images. Traitement du signal, pp.433-454, 1995.

F. Andrew, . Bennett, Q. James, A. Radford, and . Haslem, Properties of land mosaics : implications for nature conservation in agricultural environments, Biological Conservation, vol.133, issue.2, pp.250-264, 2006.

A. Bhattacharya, H. Roux, . Maître, H. Ian, X. Jermyn et al., Computing Statistics from Man-Made Structures on the Earth's Surface for Indexing Satellite Images, International Journal of Simulation Modelling, vol.6, issue.2, pp.73-83, 2007.
DOI : 10.2507/IJSIMM06(2)S.02

J. Blanc, Deux paysages en terrasses de l'Ard??che, Revue de g??ographie de Lyon, vol.56, issue.4, pp.391-409, 1981.
DOI : 10.3406/geoca.1981.3961

P. Bouché and M. L. Goc, Analyse stochastique de séquences d'événements discrets pour la découverte de signatures, EGC, pp.103-114, 2005.

F. Burel, Landscape structure effects on carabid beetles spatial patterns in western France, Landscape Ecology, vol.42, issue.2, pp.215-226, 1989.
DOI : 10.1007/978-3-642-81154-8

F. Burel, Hedgerows and Their Role in Agricultural Landscapes, Critical Reviews in Plant Sciences, vol.31, issue.2, pp.169-190, 1996.
DOI : 10.2307/3544931

F. Burel and J. Baudry, Écologie du paysage. Concepts, méthodes et applications, 1999.

G. Cantor, Ein Beitrag zur Mannigfaltigkeitslehre, Journal für die reine und angewandte Mathematik, vol.84, pp.242-258, 1877.
DOI : 10.1007/978-3-7091-9516-1_3

M. S. Castellazzi, J. N. Perry, N. Colbach, H. Monod, K. Adamczyk et al., New measures and tests of temporal and spatial pattern of crops in agricultural landscapes, Agriculture, Ecosystems & Environment, vol.118, issue.1-4, pp.1-4339, 2007.
DOI : 10.1016/j.agee.2006.06.003

H. Caswell, Community Structure: A Neutral Model Analysis, Ecological Monographs, vol.46, issue.3, pp.327-354, 1976.
DOI : 10.2307/1942257

R. Chaplin-kramer, E. Megan, E. J. O-'rourke, C. Blitzer, and . Kremen, A meta-analysis of crop pest and natural enemy response to landscape complexity, Ecology Letters, vol.54, issue.9, pp.922-932, 2011.
DOI : 10.1007/s10526-009-9212-2

D. Coeurjolly and A. Montanvert, Jean-Marc Chassery, and Others. Géométrie discrète et images numériques, 2007.

A. Noel and . Cressie, Statistics for Spatial Data : Revised Edition, 1993.

A. Samuel, A. Cushman, E. L. Shirk, and . Landguth, Separating the effects of habitat area, fragmentation and matrix resistance on genetic differentiation in complex landscapes, Landscape ecology, vol.27, issue.3, pp.369-380, 2012.

G. Zoe, . Davies, S. Andrew, and . Pullin, Are hedgerows effective corridors between fragments of woodland habitat ? An evidence-based approach, Landscape ecology, vol.22, issue.3, pp.333-351, 2007.

M. Smith, F. Michael, . Goodchild, A. Paul, and . Longley, Geospatial analysis : a Comprehensive Guide to Principles, Techniques and Software Tools, Troubador, vol.1, 2007.

D. Degenhardt, Description of Tree Distribution Patterns and Their Development Through Marked Gibbs Processes, Biometrical Journal, vol.41, issue.4, pp.457-470, 1999.
DOI : 10.1002/(SICI)1521-4036(199907)41:4<457::AID-BIMJ457>3.0.CO;2-Z

X. Descombes and E. Zhizhina, The Gibbs fields approach and related dynamics in image processing, Condensed Matter Physics, vol.11, issue.2, pp.293-312, 2008.
DOI : 10.5488/CMP.11.2.293

E. Egho, N. Jay, C. Raïssi, D. Ienco, and P. Poncelet, A contribution to the discovery of multidimensional patterns in healthcare trajectories, Journal of Intelligent Information Systems, vol.42, issue.1???2, pp.283-305, 2014.
DOI : 10.1023/A:1007652502315
URL : https://hal.archives-ouvertes.fr/hal-01094377

A. Elfeki and M. Dekking, A Markov chain model for subsurface characterization : Theory and applications, Mathematical Geology, vol.33, issue.5, pp.569-589, 2001.
DOI : 10.1023/A:1011044812133

U. Fayyad, G. Piatetsky-shapiro, and P. Smyth, From data mining to knowledge discovery in databases. AI magazine, p.37, 1996.

E. Joseph, R. M. Flaherty, . Loy, S. Mark, . Shephard et al., Adaptive local refinement with octree load balancing for the parallel solution of three dimensional conservation laws, Journal of Parallel and Distributed Computing, vol.47, pp.139-152, 1997.

T. Richard, J. Forman, and . Baudry, Hedgerows and hedgerow networks in landscape ecology, Environmental Management, vol.8, issue.6, pp.495-510, 1984.

T. Richard, M. Forman, and . Godron, Patches and structural components for a landscape ecology, BioScience, pp.733-740, 1981.

C. Gaetan and X. Guyon, Modélisation et statistique spatiales, 2008.

R. Gardner, B. Milne, M. Turnei, and R. Neill, Neutral models for the analysis of broad-scale landscape pattern, Landscape Ecology, vol.11, issue.1, pp.19-28, 1987.
DOI : 10.4324/9780203211595

C. Gaucherel, D. Fleury, P. Auclair, and . Dreyfus, Neutral models for patchy landscapes, Ecological Modelling, vol.197, issue.1-2, pp.159-170, 2006.
DOI : 10.1016/j.ecolmodel.2006.02.044
URL : https://hal.archives-ouvertes.fr/hal-00088136

F. Geiger, L. Felix, . Wäckers, J. Felix, and . Bianchi, Hibernation of predatory arthropods in semi-natural habitats, BioControl, vol.43, issue.4, pp.529-535, 2009.
DOI : 10.1017/CBO9780511542077.009

G. Grégoire and H. Chaté, Onset of collective and cohesive motion. Physical review letters, pp.1-4, 2004.

C. Jeroen, A. Groot, . Jellema, A. Walter, and . Rossing, Designing a hedgerow network in a multifunctional agricultural landscape : Balancing trade-offs among ecological quality, landscape character and implementation costs, European Journal of Agronomy, vol.32, issue.1, pp.112-119, 2010.

Y. Guédon, D. Barthélémy, Y. Caraglio, and E. Costes, Pattern Analysis in Branching and Axillary Flowering Sequences, Journal of Theoretical Biology, vol.212, issue.4, pp.481-520, 2001.
DOI : 10.1006/jtbi.2001.2392

T. Guyet, Visualisation de données relationnelles, Conférence Internationale de Géomatique et d'Analyse Spatiale (SAGEO), 2013.

G. Guyot, Climatologie de l'environnement, Edition Dunod, 1999.

D. Hilbert, Ueber die stetige Abbildung einer Line auf ein Fl???chenst???ck, Mathematische Annalen, vol.38, issue.3, pp.459-460, 1891.
DOI : 10.1007/BF01199431

A. Shelley, . Hinsley, E. Paul, and . Bellamy, The influence of hedge structure, management and landscape context on the value of hedgerows to birds : a review, Journal of environmental management, vol.60, issue.1, pp.33-49, 2000.

R. Huang and C. Kennedy, Uncovering Hidden Spatial Patterns by Hidden Markov Model, Geographic Information Science, pp.70-89, 2008.
DOI : 10.1007/978-3-540-87473-7_5

J. Hungershöfer and J. Wierum, On the Quality of Partitions Based on Space-Filling Curves, Computational Science?ICCS, pp.36-45, 2002.
DOI : 10.1007/3-540-47789-6_4

V. Hosagrahar and . Jagadish, Analysis of the Hilbert curve for representing twodimensional space, Information Processing Letters, vol.62, issue.1, pp.17-22, 1997.

B. Juang, S. Levinson, and M. Sondhi, Maximum likelihood estimation for multivariate mixture observations of Markov chains. Information Theory, IEEE Transactions on, vol.32, issue.2, pp.307-309, 1986.

A. Kehagias, A hidden Markov model segmentation procedure for hydrological and environmental time series, Stochastic Environmental Research and Risk Assessment (SERRA), vol.18, issue.2, pp.117-130, 2004.
DOI : 10.1007/s00477-003-0145-5

P. Kenny, M. Lennig, and P. Mermelstein, A linear predictive HMM for vectorvalued observations with applications to speech recognition. Acoustics, Speech and Signal Processing, IEEE Transactions on, vol.38, issue.2, pp.220-225, 1990.

K. Kiêu, K. Adamczyk-chauvat, H. Monod, and R. S. Stoica, A completely random <mml:math altimg="si13.gif" display="inline" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd" xmlns:sa="http://www.elsevier.com/xml/common/struct-aff/dtd"><mml:mi>T</mml:mi></mml:math>-tessellation model and Gibbsian extensions, Spatial Statistics, vol.6, pp.118-138, 2013.
DOI : 10.1016/j.spasta.2013.09.003

R. Kluszczynski, M. 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 : 10.1007/978-1-4613-8542-4

C. Lacoste, X. Descombes, and J. Zerubia, Point processes for unsupervised line network extraction in remote sensing. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.10, pp.1568-1579, 2005.

F. Lafarge, G. Gimel-'farb, and X. Descombes, Geometric Feature Extraction by a Multimarked Point Process, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1597-1609, 2010.
DOI : 10.1109/TPAMI.2009.152
URL : https://hal.archives-ouvertes.fr/inria-00503140

C. Lantuéjoul, Geostatistical simulation : models and algorithms. Number 1139, 2002.
DOI : 10.1007/978-3-662-04808-5

F. Larcher and J. Baudry, Landscape grammar: a method to analyse and design hedgerows and networks, Agroforestry Systems, vol.63, issue.4, pp.181-192, 2013.
DOI : 10.1201/9781420043365.pt3
URL : https://hal.archives-ouvertes.fr/hal-01210027

C. Lavigne, E. K. Klein, J. Mari, F. L. Ber, and K. Adamczyk, How do genetically modified (GM) crops contribute to background levels of GM pollen in an agricultural landscape?, Journal of Applied Ecology, vol.45, issue.4, pp.1104-1113, 2008.
DOI : 10.2135/cropsci2004.0137
URL : https://hal.archives-ouvertes.fr/hal-00294151

F. Le-ber, M. Benoît, C. Schott, J. Mari, and C. Mignolet, Studying crop sequences with CarrotAge, a HMM-based data mining software, Ecological Modelling, vol.191, issue.1, pp.170-185, 2006.
DOI : 10.1016/j.ecolmodel.2005.08.031
URL : https://hal.archives-ouvertes.fr/hal-00017169

F. Le-ber, C. Lavigne, K. Adamczyk, F. Angevin, N. Colbach et al., Neutral modelling of agricultural landscapes by tessellation methods???Application for gene flow simulation, Ecological Modelling, vol.220, issue.24, pp.3536-3545, 2009.
DOI : 10.1016/j.ecolmodel.2009.06.019
URL : https://hal.archives-ouvertes.fr/hal-00409081

F. Le-ber, C. Lavigne, J. Mari, K. Adamczyk, and F. Angevin, GenExP, un logiciel pour simuler des paysages agricoles, en vue de l'étude de la diffusion de transgènes, pp.1-12, 2006.

H. Lebesgue, Sur les fonctions représentables analytiquement, Journal de mathematiques pures et appliquees, vol.1, pp.139-216, 1905.

J. Li, L. Yao, E. Hendriks, Z. James, and . Wang, Rhythmic brushstrokes distinguish van gogh from his contemporaries : findings via automated brushstroke extraction. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.6, pp.1159-1176, 2012.

F. Liagre, Les haies rurales : rôles, création, entretien. France Agricole Editions, 2006.

B. Lovell, Hidden markov models for spatio-temporal pattern recognition and image segmentation, international Conference on Advances in Pattern Recognition, 2003.

R. Maier and V. Schmidt, Stationary iterated tessellations, Advances in Applied Probability, vol.32, issue.02, pp.337-353, 2003.
DOI : 10.1017/S0021900200031053

N. Mantrawadi, M. Nijim, and Y. Lee, Object identification and classification in a high resolution satellite data using data mining techniques for knowledge extraction, 2013 IEEE International Systems Conference (SysCon), pp.750-755, 2013.
DOI : 10.1109/SysCon.2013.6549967

G. Jean-françois-mari, M. Lazrak, and . Benoît, Time space stochastic modelling of agricultural landscapes for environmental issues, Environmental Modelling & Software, vol.46, pp.219-227, 2013.
DOI : 10.1016/j.envsoft.2013.03.014

J. Mari and F. L. Ber, Temporal and spatial data mining with second-order hidden markov models. Soft Computing -A Fusion of Foundations, Methodologies and Applications, pp.406-414, 2006.
DOI : 10.1007/s00500-005-0501-0
URL : https://hal.archives-ouvertes.fr/inria-00099573

J. Mari, F. L. Ber, E. Lazrak, M. Benoît, C. Eng et al., Using Markov Models to Mine Temporal and Spatial Data. New Fundamental Technologies in Data Mining, pp.561-584, 2011.
URL : https://hal.archives-ouvertes.fr/inria-00566801

D. Mazzi and S. Dorn, Movement of insect pests in agricultural landscapes, Annals of Applied Biology, vol.32, issue.2, pp.97-113, 2012.
DOI : 10.1603/0046-225X-32.5.1177

C. Burghard, T. Meyer, R. Wolf, and . Grabaum, A multifunctional assessment method for compromise optimisation of linear landscape elements, Ecological Indicators, vol.22, issue.0, pp.53-63, 2012.

A. Meynier, Les paysages agraires, p.199, 1958.

P. Monestiez, J. Bailly, P. Lagacherie, and M. Voltz, Geostatistical modelling of spatial processes on directed trees: Application to fluvisol extent, Geoderma, vol.128, issue.3-4, pp.3-4179, 2005.
DOI : 10.1016/j.geoderma.2005.04.002

E. Moore, On certain crinkly curves, Transactions of the American Mathematical Society, vol.1, issue.1, 1900.
DOI : 10.1090/S0002-9947-1900-1500526-4

W. Nagel, J. Mecke, J. Ohser, and V. Weiss, A TESSELLATION MODEL FOR CRACK PATTERNS ON SURFACES, Image Analysis & Stereology, vol.27, issue.2, 2008.
DOI : 10.5566/ias.v27.p73-78

W. Nagel and V. Weiss, Crack STIT tessellations: characterization of stationary random tessellations stable with respect to iteration, Advances in Applied Probability, vol.17, issue.04, pp.859-883, 2005.
DOI : 10.1017/S0001867800025398

A. Ouin, M. Martin, and F. Burel, Agricultural landscape connectivity for the meadow brown butterfly (Maniola jurtina), Agriculture, Ecosystems & Environment, vol.124, issue.3-4, pp.193-199, 2008.
DOI : 10.1016/j.agee.2007.09.010
URL : https://hal.archives-ouvertes.fr/hal-00312795

A. Paletto and M. Chincarini, Heterogeneity of linear forest formations : differing potential for biodiversity conservation. A case study in Italy, Agroforestry Systems, vol.86, issue.1, pp.83-93, 2012.

M. Parashar, C. James, C. Browne, K. Edwards, and . Klimkowski, A common data management infrastructure for adaptive algorithms for PDE solutions, Proceedings of the 1997 ACM/IEEE conference on Supercomputing (CDROM) , Supercomputing '97, p.56, 1997.
DOI : 10.1145/509593.509649

A. Patra and J. Tinsley-oden, Problem decomposition for adaptive hp finite element methods, Computing Systems in Engineering, vol.6, issue.2, pp.97-109, 1995.
DOI : 10.1016/0956-0521(95)00008-N

G. Peano, Sur une courbe, qui remplit toute une aire plane, Mathematische Annalen, vol.36, issue.1, pp.157-160, 1890.
DOI : 10.1007/BF01199438

M. Perigord, Essai de traitement g??ographique des paysages : l'exemple du Limousin, Norois, vol.162, issue.1, pp.235-256, 1994.
DOI : 10.3406/noroi.1994.6557

W. Pieczynski, Modèles de Markov en traitements d'images Markov models in image processing, Traitement du Signal, vol.20, issue.3, pp.255-278, 2003.

J. Quinqueton and M. Berthod, A locally adaptive Peano scanning algorithm . Pattern Analysis and Machine Intelligence, IEEE Transactions on, issue.4, pp.403-412, 1981.
URL : https://hal.archives-ouvertes.fr/hal-01377815

G. Rigoll, A. Kosmala, C. Rattland, and . Neukirchen, A comparison between continuous and discrete density hidden Markov models for cursive handwriting recognition, Proceedings of 13th International Conference on Pattern Recognition, pp.205-209, 1996.
DOI : 10.1109/ICPR.1996.546818

K. Riitters, R. O-'neill, C. Hunsaker, and A. , A factor analysis of landscape pattern and structure metrics, Landscape Ecology, vol.3, issue.1, pp.23-39, 1995.
DOI : 10.1007/BF00158551

H. Sagan, Space-filling curves, 1994.
DOI : 10.1007/978-1-4612-0871-6

S. Schamberger and J. Wierum, Partitioning finite element meshes using space-filling curves, Future Generation Computer Systems, vol.21, issue.5, pp.759-766, 2005.
DOI : 10.1016/j.future.2004.05.018

W. Sierpi?ski, Sur une nouvelle courbe continue qui remplit toute une aire plane, 1912.

R. Stoica, Processus ponctuels pour l'extraction de réseaux linéz"iques dans les images satellitaires et aériennes, 2001.

D. Stoyan, S. Wilfrid, J. Kendall, L. Mecke, and . Ruschendorf, Stochastic Geometry and Its Applications., Biometrics, vol.45, issue.2, 1995.
DOI : 10.2307/2531521

D. Stoyan and A. Penttinen, Recent applications of point process methods in forestry statistics, Statistical Science, vol.15, issue.1, pp.61-78, 2000.

D. Stoyan and H. Stoyan, Non-Homogeneous Gibbs Process Models for Forestry ??? A Case Study, Biometrical Journal, vol.40, issue.5, pp.521-531, 1998.
DOI : 10.1002/(SICI)1521-4036(199809)40:5<521::AID-BIMJ521>3.0.CO;2-R

H. Tjelmeland and J. Besag, Markov Random Fields with Higher-order Interactions, Scandinavian Journal of Statistics, vol.25, issue.3, pp.415-433, 1998.
DOI : 10.1111/1467-9469.00113

G. Monica, . Turner, H. Robert, and . Gardner, Quantitative met hods in landscape ecology In Ecological Studies Analysis and Synthesis : Quantitative Methods in Landscape Ecology : The Analysis and Interpretation of Landscape Heterogenetiy, chapter 1, 1991.

R. Tyson, H. Thistlewood, J. Gary, and . Judd, Modelling dispersal of sterile male codling moths, Cydia pomonella, across orchard boundaries, Ecological Modelling, vol.205, issue.1-2, pp.1-12, 2007.
DOI : 10.1016/j.ecolmodel.2006.12.038

H. Emma, . Van-der-zanden, and H. Peter, Verburg, and Caspar a. Mücher. Modelling the spatial distribution of linear landscape elements in Europe, Ecological Indicators, vol.27, pp.125-136, 2013.

N. Marie-colette and . Van-lieshout, Markov point processes and their applications, 2000.

C. Vannier, Spatial analysis of landscape structures in ???bocage??? agricultural context, Cybergeo, 2012.
DOI : 10.3166/rig.15.359-380

C. Vannier and L. Hubert-moy, Wooded hedgerows characterization in rural landscape using very high spatial resolution satellite images, 2010 IEEE International Geoscience and Remote Sensing Symposium, pp.347-350, 2010.
DOI : 10.1109/IGARSS.2010.5651636

A. Veres, S. Petit, C. Conord, and C. Lavigne, Does landscape composition affect pest abundance and their control by natural enemies? A review, Agriculture, Ecosystems & Environment, vol.166, pp.110-117, 2013.
DOI : 10.1016/j.agee.2011.05.027

S. Michael, . Warren, K. John, and . Salmon, A parallel hashed oct-tree n-body algorithm, Proceedings of the 1993 ACM/IEEE conference on Supercomputing, pp.12-21, 1993.

T. Wiegand, A. Kirk, J. Moloney, F. Naves, and . Knauer, Finding the Missing Link between Landscape Structure and Population Dynamics: A Spatially Explicit Perspective, The American Naturalist, vol.154, issue.6, pp.605-627, 1999.
DOI : 10.1086/303272

C. Zhang and W. Li, Markov Chain Modeling of Multinomial Land-Cover Classes, GIScience & Remote Sensing, vol.42, issue.1, pp.1-18, 2005.
DOI : 10.2747/1548-1603.42.1.1