M. Armstrong, A. Galli, H. Beucher, L. Loc-'h, G. et al., Plurigaussian simulation in geosciences, 2011.

J. Chiì-es and P. Delfiner, Geostatistics : Modeling spatial uncertainty, 2012.

N. Cressie, Fitting variogram models by weighted least squares, Journal of the International Association for Mathematical Geology, vol.14, issue.5, pp.563-586, 1985.
DOI : 10.1007/BF01032109

N. Cressie, Statistics for Spatial Data, 1993.

N. Cressie and S. Lahiri, Asymptotics for REML estimation of spatial covariance parameters, Journal of Statistical Planning and Inference, vol.50, issue.3, 1996.
DOI : 10.1016/0378-3758(95)00061-5

P. Diggle and J. Rp, Model-based geostatistics, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.47, issue.3, 2007.
DOI : 10.1111/1467-9876.00113

X. Emery, Iterative algorithms for fitting a linear model of coregionalization, Computers & Geosciences, vol.36, issue.9, pp.1150-1160, 2010.
DOI : 10.1016/j.cageo.2009.10.007

C. De-fouquet, L. Malherbe, and A. Ung, Geostatistical analysis of the temporal variability of ozone concentrations. Comparison between CHIMERE model and surface observations, Atmospheric Environment, vol.45, issue.20, pp.3434-3446, 2011.
DOI : 10.1016/j.atmosenv.2011.03.036
URL : https://hal.archives-ouvertes.fr/hal-00878480

M. Goulard and M. Voltz, Linear coregionalization model: Tools for estimation and choice of cross-variogram matrix, Mathematical Geology, vol.51, issue.3, pp.269-286, 1992.
DOI : 10.1007/BF00893750

M. Handcock and J. Wallis, An Approach to Statistical Spatial-Temporal Modeling of Meteorological Fields, Journal of the American Statistical Association, vol.41, issue.4, pp.368-390, 1994.
DOI : 10.1080/00401706.1991.10484771

R. Horn and C. Johnson, Matrix Analysis, Cambridge Isatis R, 1985.

P. Larrondo, C. Neufeld, and C. Deutsch, VARFIT: A program for semiautomatic variogram modeling, Fifth Annual Report of the Centre for Computational Geostatistics, p.17, 2003.

K. Madsen, H. Nielsen, and O. Tingleff, Methods for non-linear least squares problems, 2004.

K. Madsen, H. Nielsen, and O. Tingleff, Optimization with constraints, 2004.

C. Magneron, N. Jeannee, L. Moine, O. Bourillet, and J. , Integrating Prior Knowledge and Locally Varying Parameters with Moving-GeoStatistics: Methodology and Application to Bathymetric Mapping, GeoEnv VII -Geostatistics for Environmental Applications, 2009.
DOI : 10.1007/978-90-481-2322-3_35

K. Mardia and R. Marshall, Maximum likelihood estimation of models for residual covariance in spatial regression, Biometrika, vol.71, issue.1, pp.135-146, 1984.
DOI : 10.1093/biomet/71.1.135

E. Pardo-igúzquiza, VARFIT: a fortran-77 program for fitting variogram models by weighted least squares, Computers & Geosciences, vol.25, issue.3, pp.251-261, 1999.
DOI : 10.1016/S0098-3004(98)00128-9

P. Petitgas, M. Doray, J. Mass, and P. Grellier, Spatially explicit estimation of fish length histograms, with application to anchovy habitats in the Bay of Biscay, ICES Journal of Marine Science, vol.68, issue.10, pp.2086-2095, 2011.
DOI : 10.1093/icesjms/fsr139

D. Renard, N. Bez, N. Desassis, and F. Laporte, RGeoS: The geostatistical package [8.2.10]. Ecole des Mines de Paris Free download from http, 2011.

M. Stein, Interpolation of Spatial Data, Some Theory for Kriging, 1999.

H. Wackernagel, Multivariate Geostatistics -An Introduction with Application, 2003.