J. Fieberg and L. Börger, Could you please phrase "home range" as a question?, J Mammal, vol.93, pp.890-902, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00740439

J. G. Kie, J. Matthiopoulos, J. Fieberg, R. A. Powell, F. Cagnacci et al., The home-range concept: are traditional estimators still relevant with modern telemetry technology, Philos Trans R Soc B Biol Sci, vol.365, pp.2221-2252, 2010.

R. A. Powell and M. S. Mitchell, What is a home range?, J Mammal, vol.93, pp.948-58, 2012.

B. W. Silverman, Density estimation for statistics and data analysis. London: Chapman and Hall, 1986.

B. Worton, Kernel methods for estimating the utilization distribution in home-range studies, Ecology, vol.70, pp.164-172, 1989.

J. G. Kie, A rule-based ad hoc method for selecting a bandwidth in kernel home-range analyses, Anim Biotelemetry, vol.1, p.13, 2013.

L. Börger, N. Franconi, G. De-michele, A. Gantz, F. Meschi et al., Effects of sampling regime on the mean and variance of home range size estimates, J Anim Ecol, vol.75, pp.1393-405, 2006.

B. W. Silverman, Spline smoothing: the equivalent variable kernel method, Ann Stat Institute of Mathematical Statistics, vol.12, pp.898-916, 1984.

T. L. Hansteen, H. P. Andreassen, and R. A. Ims, Effects of spatiotemporal scale on autocorrelation and home range estimators, J Wildl Manag, vol.61, pp.280-90, 1997.

S. Dray, M. Royer-carenzi, and C. Calenge, The exploratory analysis of autocorrelation in animal-movement studies, Ecol Res, vol.25, pp.673-81, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00539473

R. K. Swihart and N. A. Slade, Testing for Independence of observations in animal movements, Ecology, vol.66, pp.1176-84, 1985.

C. H. Fleming, W. F. Fagan, T. Mueller, K. A. Olson, P. Leimgruber et al., Rigorous home-range estimation with movement data: a new autocorrelated kernel-density estimator, Ecology, vol.96, pp.1182-1190, 2015.

I. Girard, J. Ouellet, R. Courtois, C. Dussault, and L. Breton, Effects of sampling effort based on GPS telemetry on home-range size estimations, J Wildl Manag, vol.66, pp.1290-300, 2002.

P. N. Laver and M. J. Kelly, A critical review of home range studies, J Wildl Manag, vol.72, pp.290-298, 2008.

D. E. Seaman, J. J. Millspaugh, B. J. Kernohan, G. C. Brundige, K. J. Raedeke et al., Effects of sample size on kernel home range estimates, J Wildl Manag, vol.63, p.739, 1999.

S. R. De-solla, R. Bonduriansky, and R. J. Brooks, Eliminating autocorrelation reduces biological relevance of home range estimates, J Anim Ecol, vol.68, pp.221-255, 1999.

C. H. Fleming and J. M. Calabrese, A new kernel density estimator for accurate homerange and species-range area estimation, Methods Ecol Evol, vol.8, pp.571-580, 2017.

J. C. Slaght, J. S. Horne, S. G. Surmach, and R. J. Gutiérrez, Home range and resource selection by animals constrained by linear habitat features: an example of Blakiston's fish owl, J Appl Ecol, vol.50, pp.1350-1357, 2013.

S. Benhamou and D. Cornélis, Incorporating movement behavior and barriers to improve kernel home range space use estimates, J Wildl Manag, vol.74, pp.1353-60, 2010.

M. C. Jones, Simple boundary correction for kernel density estimation, Stat Comput, vol.3, pp.135-181, 1993.

C. Tenreiro, Boundary kernels for distribution function estimation, Revstat Stat J, vol.11, pp.169-90, 2013.

J. D. Forester, H. K. Im, and P. J. Rathouz, Accounting for animal movement in estimation of resource selection functions: sampling and data analysis, Ecology, vol.90, pp.3554-65, 2009.

S. R. Lele and J. L. Keim, Weighted distributions and estimation of resource selection probability functions, Ecology, vol.87, pp.3021-3029, 2006.

R. Bischof, S. Steyaert, and J. Kindberg, Caught in the mesh: roads and their network-scale impediment to animal movement, Ecography, vol.40, pp.1369-80, 2017.

H. L. Beyer, E. Gurarie, L. Börger, M. Panzacchi, M. Basille et al., You shall not pass!": quantifying barrier permeability and proximity avoidance by animals, J Anim Ecol, vol.85, pp.43-53, 2016.

J. E. Dunn and P. S. Gipson, Analysis of radio telemetry data in studies of home range, Biometrics, vol.33, pp.85-101, 1977.

D. S. Johnson, D. L. Thomas, V. Hoef, J. M. Christ, and A. , A general framework for the analysis of animal resource selection from telemetry data, Biometrics, vol.64, pp.968-76, 2008.

J. Fieberg, J. Matthiopoulos, M. Hebblewhite, M. S. Boyce, and J. L. Frair, Correlation and studies of habitat selection: problem, red herring or opportunity?, Philos Trans R Soc B Biol Sci, vol.365, pp.2233-2277, 2010.

D. S. Johnson, M. B. Hooten, and C. E. Kuhn, Estimating animal resource selection from telemetry data using point process models, J Anim Ecol, vol.82, pp.1155-64, 2013.

N. Cressie, Statistics for spatial data, 1993.

M. Berman and T. R. Turner, Approximating point process likelihoods with GLIM, J R Stat Soc C Appl Stat, vol.41, pp.31-39, 1992.

W. L. Robb, Thin silicone membranes. Their permeation properties and some applications, Ann N Y Acad Sci, vol.146, pp.119-156, 1968.

J. M. Calabrese, C. H. Fleming, and E. Gurarie, Ctmm: an r package for analyzing animal relocation data as a continuous-time stochastic process, Methods Ecol Evol, vol.7, pp.1124-1156, 2016.

N. Courbin, A. J. Loveridge, D. W. Macdonald, H. Fritz, M. Valeix et al., Reactive responses of zebras to lion encounters shape their predatorprey space game at large scale, Oikos, vol.125, pp.829-867, 2016.
URL : https://hal.archives-ouvertes.fr/hal-02107515

E. M. Arraut, A. J. Loveridge, S. Chamaillé-jammes, H. V. Fox, and D. W. Macdonald, The 2013-2014 vegetation structure map of Hwange National Park, Zimbabwe, produced using free images and software, KOEDOE -African Prot Area Conserv Sci, vol.60, p.1497, 2018.

S. Benhamou, Dynamic approach to space and habitat use based on biased random bridges, PLoS One, vol.6, p.14592, 2011.

C. H. Fleming, W. F. Fagan, T. Mueller, K. A. Olson, P. Leimgruber et al., Estimating where and how animals travel: an optimal framework for path reconstruction from autocorrelated tracking data, Ecology, vol.97, pp.576-82, 2016.

J. Signer, J. Fieberg, and T. Avgar, Estimating utilization distributions from fitted step-selection functions, Ecosphere, vol.8, p.1771, 2017.

M. Wang and V. Grimm, Home range dynamics and population regulation: an individual-based model of the common shrew Sorex araneus, Ecol Model, vol.205, pp.397-409, 2007.

P. R. Moorcroft and M. A. Lewis, Mechanistic home range analysis, 2004.