M. Hebblewhite and D. T. Haydon, Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.144, issue.5, pp.3652303-2312, 1550.
DOI : 10.1086/522059

S. Benhamou, Spatial memory and searching efficiency, Animal Behaviour, vol.47, issue.6, pp.1423-1433, 1994.
DOI : 10.1006/anbe.1994.1189

S. Benhamou, DETECTING AN ORIENTATION COMPONENT IN ANIMAL PATHS WHEN THE PREFERRED DIRECTION IS INDIVIDUAL-DEPENDENT, Ecology, vol.87, issue.2, pp.518-528, 2006.
DOI : 10.1016/S0304-3800(00)00309-4

E. A. Codling, M. J. Plank, and S. Benhamou, Random walk models in biology, Journal of The Royal Society Interface, vol.132, issue.3, pp.813-834, 2008.
DOI : 10.1016/S0304-3800(00)00309-4

URL : http://rsif.royalsocietypublishing.org/content/royinterface/5/25/813.full.pdf

O. Ovaskainen, HABITAT-SPECIFIC MOVEMENT PARAMETERS ESTIMATED USING MARK???RECAPTURE DATA AND A DIFFUSION MODEL, Ecology, vol.85, issue.1, pp.242-257, 2004.
DOI : 10.1023/A:1008030215600

G. M. Viswanathan, S. V. Buldyrev, S. Havlin, M. G. Da-luzk, E. P. Raposok et al., Optimizing the success of random searches, Nature, vol.5, issue.6756, pp.911-914, 1999.
DOI : 10.1016/0169-5347(90)90235-6

S. Benhamou, How many animals rally do the lévy walk? Ecology, pp.1962-1969, 2007.
DOI : 10.1890/08-0313.1

D. R. Brillinger, K. P. Haiganoush, A. A. Ager, J. G. Kie, and B. S. Stewart, Employing stochastic differential equations to model wildlife motion, Bulletin of the Brazilian Mathematical Society, vol.33, issue.3, pp.385-408, 2002.
DOI : 10.1007/s005740200021

D. R. Brillinger, Simulating constrained animal motion using stochastic differential equations, Lecture Notes-Monograph Series, vol.41, pp.35-48, 2003.
DOI : 10.1214/lnms/1215091656

URL : http://www.stat.berkeley.edu/users/brill/Papers/rabi9.pdf

H. K. Preisler, A. A. Ager, B. K. Johnson, and J. G. Kie, Modeling animal movements using stochastic differential equations, Environmetrics, vol.13, issue.7, pp.643-657, 2004.
DOI : 10.1007/978-3-642-87934-0

P. E. Smouse, S. Focardi, P. R. Moorcroft, J. G. Kie, J. D. Forester et al., Stochastic modelling of animal movement, Philosophical Transactions of the Royal Society B: Biological Sciences, vol.70, issue.2, pp.3652201-2211, 1550.
DOI : 10.1111/j.1600-0587.2008.05626.x

URL : http://rstb.royalsocietypublishing.org/content/royptb/365/1550/2201.full.pdf

S. Benhamou, Dynamic Approach to Space and Habitat Use Based on Biased Random Bridges, PLoS ONE, vol.6, issue.1, p.14592, 2011.
DOI : 10.1371/journal.pone.0014592.t001

URL : https://doi.org/10.1371/journal.pone.0014592

J. S. Horne, E. O. Garton, S. M. Krone, and J. S. Lewis, ANALYZING ANIMAL MOVEMENTS USING BROWNIAN BRIDGES, Ecology, vol.106, issue.9, pp.2354-2363, 2007.
DOI : 10.2307/3801959

W. H. Burt, Territoriality and Home Range Concepts as Applied to Mammals, Journal of Mammalogy, vol.24, issue.3, pp.346-352, 1943.
DOI : 10.2307/1374834

L. Börger, B. D. Dalziel, and J. M. , Are there general mechanisms of animal home range behaviour? A review and prospects for future research, Ecology Letters, vol.200, issue.6, pp.637-650, 2008.
DOI : 10.1093/biomet/38.1-2.196

R. Paul, M. A. Moorcroft, and . Lewis, Mechanistic Home Range Analysis, 2006.

J. M. Morales and S. Ellner, SCALING UP ANIMAL MOVEMENTS IN HETEROGENEOUS LANDSCAPES: THE IMPORTANCE OF BEHAVIOR, Ecology, vol.83, issue.8, pp.2240-2247, 2002.
DOI : 10.1890/0012-9658(1999)080[1019:SSFLLI]2.0.CO;2

O. Arild, L. E. Gautestad, A. Loe, and . Mysterud, Inferring spatial memory and spatiotemporal scaling from gps data: comparing red deer cervus elaphus movements with simulation models, Journal of animal Ecology, 2013.

J. M. Morales, D. T. Haydon, J. Frair, K. E. Holsinger, and J. M. , EXTRACTING MORE OUT OF RELOCATION DATA: BUILDING MOVEMENT MODELS AS MIXTURES OF RANDOM WALKS, Ecology, vol.85, issue.9, pp.2436-2445, 2004.
DOI : 10.1890/0012-9658(1999)080[1019:SSFLLI]2.0.CO;2

URL : http://opencommons.uconn.edu/cgi/viewcontent.cgi?article=1004&context=eeb_articles

Z. I. Botev, J. F. Grotowski, and D. P. Kroese, Kernel density estimation via diffusion, The Annals of Statistics, vol.38, issue.5, pp.2916-2957, 2010.
DOI : 10.1214/10-AOS799

P. Diggle, Time Series: A Biostatistical Introduction., Biometrics, vol.49, issue.4, 1990.
DOI : 10.2307/2532287