A. , A. Air-maraix, . Airparif, A. Alpa, A. Auvergne et al., Parameterisation of radionuclides deposition in atmospheric long-range transport modelling, ?1. Agences agréées pour la surveillance de la qualité de l, pp.787-799, 2001.

M. Banjevic, Optimal network designs in spatial statistics, 2004.

M. Bocquet, High-resolution reconstruction of a tracer dispersion event: application to ETEX, Quarterly Journal of the Royal Meteorological Society, vol.33, issue.625, pp.1013-1026, 2007.
DOI : 10.1002/qj.64

URL : https://hal.archives-ouvertes.fr/inria-00633428

H. Cohn and M. Fielding, Simulated Annealing: Searching for an Optimal Temperature Schedule, SIAM Journal on Optimization, vol.9, issue.3, pp.779-802, 1999.
DOI : 10.1137/S1052623497329683

N. Cressie, Statistics for Spatial Data, 1993.
DOI : 10.1002/9781119115151

D. Zio, S. Fontanella, L. Ippoliti, and L. , Optimal spatial sampling schemes for environmental surveys, Environmental and Ecological Statistics, vol.19, issue.465, pp.397-414, 2004.
DOI : 10.1007/s10651-004-4186-9

G. Dubois, Automatic Mapping Algorithms for Routine and Emergency Monitoring Data, Spatial Interpolation Intercomparison, 2004.

S. Kirkpatrick, G. Jr, C. D. Vecchi, and M. P. , Optimization by Simulated Annealing, Science, vol.220, issue.4598, pp.671-680, 1983.
DOI : 10.1126/science.220.4598.671

M. Krysta and M. Bocquet, Source reconstruction of an accidental radionuclide release at European scale, Quarterly Journal of the Royal Meteorological Society, vol.33, issue.623, pp.529-544, 2007.
DOI : 10.1002/qj.3

URL : https://hal.archives-ouvertes.fr/inria-00633475

M. Krysta, M. Bocquet, B. Sportisse, and O. Isnard, Data assimilation for short-range dispersion of radionuclides: An application to wind tunnel data, Atmospheric Environment, vol.40, issue.38, pp.7267-7279, 2006.
DOI : 10.1016/j.atmosenv.2006.06.043

URL : https://hal.archives-ouvertes.fr/hal-00650966

J. F. Louis, A parametric model of vertical eddy fluxes in the atmosphere, Boundary-Layer Meteorology, vol.93, issue.2, pp.197-202, 1979.
DOI : 10.1007/BF00117978

N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, Equation of State Calculations by Fast Computing Machines, The Journal of Chemical Physics, vol.21, issue.6, pp.1087-1092, 1953.
DOI : 10.1063/1.1699114

W. G. Muïler, Collecting Spatial Data: Optimum Design of Experiments for Spatial Data, 2001.

D. Nychka and N. Saltzman, Design of Air-Quality Monitoring Networks, Case Studies in Environmental Statistics. Springer Lecture Notes in Statistics, pp.51-76, 1998.
DOI : 10.1007/978-1-4612-2226-2_4

D. Queío, K. Monika, M. Bocquet, O. Isnard, Y. Minier et al., Validation of the Polyphemus platform on the ETEX, Chernobyl and Algeciras cases, Atmospheric Environment, vol.41, pp.5300-5315, 2007.

J. Ramaker, The final test a history of the comprehensive nuclear-test-ban treaty negotiations, Provisional Technical Secretariat of the Preparatory Commission for the CTBTO, 2003.

R. Abida, M. Bocquet, N. Vercauteren, and O. Isnard, Design of a monitoring network over France in case of a radiological accidental release, Atmospheric Environment, vol.42, issue.21, pp.5205-5219, 2008.
DOI : 10.1016/j.atmosenv.2008.02.065

URL : https://hal.archives-ouvertes.fr/inria-00582333

R. A. Anthes and T. T. Warner, Development of Hydrodynamic Models Suitable for Air Pollution and Other Mesometerological Studies, Monthly Weather Review, vol.106, issue.8, pp.1045-1078, 1978.
DOI : 10.1175/1520-0493(1978)106<1045:DOHMSF>2.0.CO;2

G. Arbia and G. Lafratta, Evaluating and Updating the Sample Design in Repeated Environmental Surveys: Monitoring Air Quality in Padua, Journal of Agricultural, Biological, and Environmental Statistics, vol.2, issue.4, pp.451-466, 1997.
DOI : 10.2307/1400514

B. Baklanov and J. H. Sorensen, Parameterisation of radionuclide deposition in atmospheric long-range transport modelling, Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere, vol.26, issue.10, pp.787-799, 2001.
DOI : 10.1016/S1464-1909(01)00087-9

L. M. Berliner, Z. Q. Lu, and C. Snyder, Statistical Design for Adaptive Weather Observations, Journal of the Atmospheric Sciences, vol.56, issue.15, pp.2536-2552, 1999.
DOI : 10.1175/1520-0469(1999)056<2536:SDFAWO>2.0.CO;2

M. Bocquet, High-resolution reconstruction of a tracer dispersion event: application to ETEX, Quarterly Journal of the Royal Meteorological Society, vol.33, issue.625, pp.1013-1026, 2007.
DOI : 10.1002/qj.64

URL : https://hal.archives-ouvertes.fr/inria-00633428

A. Carrassi, A. Trevisan, and F. Uboldi, Adaptive observations and assimilation in the unstable subspace by breeding on the data-assimilation system, pp.101-113, 2007.

M. J. Clark and F. B. Smith, Wet and dry deposition of Chernobyl releases, Nature, vol.332, issue.6161, pp.245-249, 1988.
DOI : 10.1038/332245a0

N. A. Cressie and N. A. Cassie, Statistics for Spatial Data, 1993.

D. N. Daescu and I. M. Navon, Adaptive observations in the context of 4D-Var data assimilation, Meteorology and Atmospheric Physics, vol.85, issue.4, pp.205-226, 2004.
DOI : 10.1007/s00703-003-0011-5

X. Davoine and M. Bocquet, Inverse modelling-based reconstruction of the Chernobyl source term available for long-range transport, Atmospheric Chemistry and Physics, vol.7, issue.6, pp.1549-1564, 2007.
DOI : 10.5194/acp-7-1549-2007

URL : https://hal.archives-ouvertes.fr/hal-00328489

V. V. Fedorov and P. Hackl, Model-oriented Design of Experiments, Number 125 in Lecture Notes in Statistics, 1997.

N. Fourrié, D. Marchal, F. Rabier, B. Chapnik, and G. Desroziers, Impact study of the 2003 North Atlantic THORPEX Regional Campaign, Quarterly Journal of the Royal Meteorological Society, vol.130, issue.615, pp.275-295, 2006.
DOI : 10.1256/qj.05.31

S. Galmarini, R. Bianconi, G. De-vries, and R. Bellasio, Real-time monitoring data for real-time multi-model validation: coupling ENSEMBLE and EURDEP, Journal of Environmental Radioactivity, vol.99, issue.8, 2008.
DOI : 10.1016/j.jenvrad.2008.02.006

G. S. Herrera and G. F. Pinder, Space-time optimization of groundwater quality sampling networks, Water Resources Research, vol.39, issue.8, 2005.
DOI : 10.1029/2004WR003626

Z. Jiang, S. De-bruin, G. B. Heuvelink, and C. J. Twenhö-fel, Optimization of mobile radioactivity monitoring networks, Proceedings of the Fifth International Symposium on Spatial Data Quality, pp.13-15, 2007.

M. Krysta and M. Bocquet, Source reconstruction of an accidental radionuclide release at European scale, Quarterly Journal of the Royal Meteorological Society, vol.33, issue.623, pp.529-544, 2007.
DOI : 10.1002/qj.3

URL : https://hal.archives-ouvertes.fr/inria-00633475

M. Krysta, M. Bocquet, B. Sportisse, and O. Isnard, Data assimilation for short-range dispersion of radionuclides: An application to wind tunnel data, Atmospheric Environment, vol.40, issue.38, pp.7267-7279, 2006.
DOI : 10.1016/j.atmosenv.2006.06.043

URL : https://hal.archives-ouvertes.fr/hal-00650966

M. Krysta, M. Bocquet, and J. Brandt, Probing ETEX-II data set with inverse modelling, Atmospheric Chemistry and Physics, vol.8, issue.14, pp.3963-3971, 2008.
DOI : 10.5194/acp-8-3963-2008

URL : https://hal.archives-ouvertes.fr/hal-00328305

H. W. Levi, Radioactive deposition in Europe after the Chernobyl accident and its long-term consequences, Ecological Research, vol.55, issue.2, pp.201-216, 1991.
DOI : 10.1007/BF02347162

D. C. Liu and J. Nocedal, On the limited memory BFGS method for large scale optimization, Mathematical Programming, vol.32, issue.2, pp.503-528, 1989.
DOI : 10.1007/BF01589116

J. F. Louis, A parametric model of vertical eddy fluxes in the atmosphere. Boundary-Layer Meteorol, pp.197-202, 1979.

W. G. Mü-ller, Collecting Spatial Data: Optimum Design of Experiments for Spatial Data, 3rd Rev, 2007.

D. Nychka and N. Saltzman, Design of air quality monitoring networks, chapter 4 of case studies in environmental statistics, Springer Lecture Notes in Statistics, Number 132, pp.51-76, 1998.

K. Politis and L. Robertson, Bayesian updating of atmospheric dispersion after a nuclear accident, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.42, issue.4, pp.583-600, 2004.
DOI : 10.1256/smsqj.47811

D. Qué-lo, M. Krysta, M. Bocquet, O. Isnard, Y. Minier et al., Validation of the Polyphemus platform on the ETEX, Chernobyl and Algeciras cases, Atmospheric Environment, vol.41, issue.26, pp.5300-5315, 2007.
DOI : 10.1016/j.atmosenv.2007.02.035

O. Saunier, M. Bocquet, A. Matthieu, and O. Isnard, Model reduction via principal component truncation for the optimal design of atmospheric monitoring networks, Atmospheric Environment, vol.43, issue.32, pp.4940-4950, 2009.
DOI : 10.1016/j.atmosenv.2009.07.011

URL : https://hal.archives-ouvertes.fr/inria-00561635

C. K. Wikle and J. A. Royle, Space: Time Dynamic Design of Environmental Monitoring Networks, Journal of Agricultural, Biological, and Environmental Statistics, vol.4, issue.4, pp.489-507, 1999.
DOI : 10.2307/1400504

M. Zhao, Z. Ming, H. A. Panofsky, and R. Ball, Wind profiles over complex terrain. Boundary-Layer Meteorol, pp.221-228, 1983.

R. Abida and M. Bocquet, Targeting of observations for accidental atmospheric release monitoring, Atmospheric Environment, vol.43, issue.40, pp.6312-6327, 2009.
DOI : 10.1016/j.atmosenv.2009.09.029

URL : https://hal.archives-ouvertes.fr/inria-00567404

R. Abida, M. Bocquet, N. Vercauteren, and O. Isnard, Design of a monitoring network over France in case of a radiological accidental release, Atmospheric Environment, vol.42, issue.21, pp.5205-5219, 2008.
DOI : 10.1016/j.atmosenv.2008.02.065

URL : https://hal.archives-ouvertes.fr/inria-00582333

A. C. Atkinson and A. N. Donev, Optimum Experimental Design, 1992.
DOI : 10.1007/978-3-642-04898-2_434

P. Audze and V. Eglais, New approach for planning out of experiments. Problems of Dynamics and Strengths, pp.104-107, 1977.

M. Banjevic and P. Switzer, Optimal network designs in spatial statistics, Royal Statistical Society Conference on Spatial Modelling, 2001.

S. Bates, J. Sienz, and V. Toropov, Formulation of the Optimal Latin Hypercube Design of Experiments Using a Permutation Genetic Algorithm, 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference, pp.1-7, 2004.
DOI : 10.2514/6.2004-2011

L. M. Berliner, Z. Lu, and C. Snyder, Statistical Design for Adaptive Weather Observations, Journal of the Atmospheric Sciences, vol.56, issue.15, pp.2536-2552, 1999.
DOI : 10.1175/1520-0469(1999)056<2536:SDFAWO>2.0.CO;2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.9783

J. M. Bernardo, Information theory and decision making. Theories of Decision in Practice, pp.247-251, 1975.

M. Bocquet, Construction optimale de réseaux de mesure : application à la suveillance des polluants aériens. notes de cours de l'École nationale supérieure des techniques avancées, Tech. rep, 2006.

E. P. Boer, L. M. Dekkers, and A. Stein, Optimization of a Monitoring Network for Sulfur Dioxide, Journal of Environment Quality, vol.31, issue.1, pp.121-128, 2002.
DOI : 10.2134/jeq2002.1210

D. J. Brus and G. B. Heuvelin, Optimization of sample patterns for universal kriging of environmental variables, Geoderma, vol.138, issue.1-2, pp.86-95, 2007.
DOI : 10.1016/j.geoderma.2006.10.016

M. C. Bueso, J. M. Angulo, and F. J. Alonso, A state-space model approach to optimum spatial sampling design based on entropy, Environmental and Ecological Statistics, vol.5, issue.1, pp.29-44, 1998.
DOI : 10.1023/A:1009603318668

M. C. Bueso, J. M. Angulo, F. J. Alonso, and M. D. Ruiz-medina, A study on sensitivity of spatial sampling designs to a priori discretization schemes, Environmental Modelling & Software, vol.20, issue.7, pp.891-902, 2005.
DOI : 10.1016/j.envsoft.2004.03.019

W. Caselton and T. Husain, Hydrologic networks : information transmission, J. Water Resources Planning and Management, vol.106, pp.503-529, 1980.

W. F. Caselton, L. Kan, and J. V. Zidek, Quality data networks that minimize entropy, Statistics in the Environmental and Earth Sciences, 1992.

W. F. Caselton and J. V. Zidek, Optimal monitoring network designs, Statistics & Probability Letters, vol.2, issue.4, pp.223-227, 1984.
DOI : 10.1016/0167-7152(84)90020-8

J. R. Cooper, K. Randle, and R. S. Sokhi, Radioactive Releases in the Environment : Impact and Assessment, 2003.

N. Cressie, Statistics for spatial data, 1993.

N. Cressie, C. A. Gotway, and M. O. Grondona, Spatial prediction from networks, Chemometrics and Intelligent Laboratory Systems, vol.7, issue.3, pp.251-271, 1990.
DOI : 10.1016/0169-7439(90)80115-M

. Cressman, AN OPERATIONAL OBJECTIVE ANALYSIS SYSTEM, Monthly Weather Review, vol.87, issue.10, pp.367-374, 1959.
DOI : 10.1175/1520-0493(1959)087<0367:AOOAS>2.0.CO;2

D. Zio, S. , L. Fontanella, and L. Ippoliti, Optimal spatial sampling schemes for environmental surveys, Environmental and Ecological Statistics, vol.19, issue.465, pp.397-414
DOI : 10.1007/s10651-004-4186-9

P. Diggle and S. Lophaven, Bayesian Geostatistical Design, Scandinavian Journal of Statistics, vol.4, issue.1, pp.55-64, 2006.
DOI : 10.1002/(SICI)1099-095X(200003/04)11:2<227::AID-ENV404>3.0.CO;2-#

P. J. Diggle, P. J. Ribeiro, and O. F. Christensen, Spatial statistics and computational methods, chap. An introduction to model-based geostatistics, pp.43-86, 2003.

M. Drews, H. Lauritzen, J. Q. Madsen, and . Smith, Kalman filtration of radiation monitoring data from atmospheric dispersion of radioactive materials, Radiation Protection Dosimetry, vol.111, issue.3, pp.257-269, 2004.
DOI : 10.1093/rpd/nch339

G. Dubois, E. J. Pebesma, and P. Bossew, Automatic mapping in emergency: a geostatistical perspective, International Journal of Emergency Management, vol.4, issue.3, pp.455-467, 2007.
DOI : 10.1504/IJEM.2007.014297

V. V. Fedorov, Theory of Optimal Experiments, 1972.

V. V. Fedorov, G. Montepiedra, and C. J. Nachtsheim, Design of experiments for locally weighted regression, Journal of Statistical Planning and Inference, vol.81, issue.2, pp.363-382, 1999.
DOI : 10.1016/S0378-3758(99)00018-X

V. V. Fedorov, W. G. Müller-dodge, Y. Fedorov, V. V. , W. et al., Two approaches in optimization of observing networks. Optimal Design and Analysis of Experiments, 1988.

V. V. Fedorov and W. G. Müller, Comparison of two approaches in the optimal design of an observation network, Statistics, vol.15, issue.3, pp.339-351, 1989.
DOI : 10.1002/9780470316436

R. A. Ferreyra, H. P. Apezteguía, R. Sereno, and J. W. Jones, Reduction of soil water spatial sampling density using scaled semivariograms and simulated annealing, Geoderma, vol.110, issue.3-4, 2002.
DOI : 10.1016/S0016-7061(02)00234-3

M. Ferri and M. Piccioni, Optimal selection of statistical units, Computational Statistics & Data Analysis, vol.13, issue.1, pp.47-61, 1992.
DOI : 10.1016/0167-9473(92)90153-7

M. Fuentes, A. Chaudhuri, and D. M. Holland, Bayesian entropy for spatial sampling design of environmental data, Environmental and Ecological Statistics, vol.49, issue.3, 2005.
DOI : 10.1007/s10651-007-0017-0

S. Galmarini, R. Bianconi, G. De-vries, and R. Bellasio, Real-time monitoring data for real-time multi-model validation: coupling ENSEMBLE and EURDEP, Journal of Environmental Radioactivity, vol.99, issue.8, pp.1233-1241, 2008.
DOI : 10.1016/j.jenvrad.2008.02.006

L. S. Gandin, Objective analysis of meteorological fields, Gidrometeorologicheskoe Izdatel'stvo, 1963.

M. T. Gastner and M. E. Newman, Optimal design of spatial distribution networks, Physical Review E, vol.74, issue.1, 2006.
DOI : 10.1103/PhysRevE.74.016117

P. Guttorp, N. D. Le, P. D. Sampson, and J. V. Zidek, Using entropy in the redesign of an environmental monitoring network, Multivariate Environmental Statistics, pp.175-202, 1993.

J. M. Hughes-oliver, G. Gonzalez-faria, J. C. Lu, and D. Chen, Parametric nonstationary correlation models, Statistics & Probability Letters, vol.40, issue.3, pp.267-278, 1998.
DOI : 10.1016/S0167-7152(98)00103-5

A. Janssens, F. Raes, and M. D. Cort, Off-site emergency response to nuclear accidents, Environmental Monitoring Peer Reviewed Journal, 1993.

A. Joly, The Fronts and Atlantic Storm-Track Experiment (FASTEX): Scientific Objectives and Experimental Design, Bulletin of the American Meteorological Society, vol.78, issue.9, pp.1917-1940, 1997.
DOI : 10.1175/1520-0477(1997)078<1917:TFAAST>2.0.CO;2

P. Karhu, Radionuclide monitoring as part of the verification regime for the comprehensive nuclear-test-ban treaty, Radiochemistry, pp.455-457, 2004.

J. Kiefer, Construction and optimality of generalized youden designs. A survey of Statistical Design and Linear Models, pp.333-353, 1975.

J. Kiefer and J. Wolfowitz, The equivalence of two extremum problems, Journal canadien de math??matiques, vol.12, issue.0, pp.363-366, 1960.
DOI : 10.4153/CJM-1960-030-4

C. Ko, J. Lee, and M. Queyranne, An Exact Algorithm for Maximum Entropy Sampling, Operations Research, vol.43, issue.4, pp.684-691, 1995.
DOI : 10.1287/opre.43.4.684

M. Krysta, M. Bocquet, B. Sportisse, and O. Isnard, Data assimilation for short-range dispersion of radionuclides: An application to wind tunnel data, Atmospheric Environment, vol.40, issue.38, pp.7267-7279, 2006.
DOI : 10.1016/j.atmosenv.2006.06.043

URL : https://hal.archives-ouvertes.fr/hal-00650966

B. Lauritzen and U. B. , PROBABILISTIC APPROACH TO DERIVE OPERATIONAL INTERVENTION LEVELS FOR NUCLEAR EMERGENCY PREPAREDNESS, Health Physics, vol.77, issue.2, p.77, 1999.
DOI : 10.1097/00004032-199908000-00002

B. Lauritzen, P. H. Jensen, and F. Nielsen, Requirements to a norwegian national automatic gamma monitoring system, p.1514, 2005.

N. D. Le, L. Sun, and J. V. Zidek, Designing networks for monitoring multivariate environmental fields using data with monotone pattern, Statistical and Applied Mathematical Sciences Institute, 2003.

N. D. Le and J. V. Zidek, Network designs for monitoring multivariate random spatial fields, Recent. Adv. in Statist. and Prob, pp.191-206, 1994.

S. Lovejoy, D. Schertzer, and P. Ladoy, Fractal characterization of inhomogeneous geophysical measuring networks, Nature, vol.34, issue.6048, pp.43-44, 1989.
DOI : 10.1038/319043a0

M. Makhon´ko and K. P. , Some Results of Radiation Monitoring After the Chernobyl Accident, Radiation Protection Dosimetry, vol.64, issue.1, pp.61-68, 1996.
DOI : 10.1093/oxfordjournals.rpd.a031567

B. B. Mandelbrot, The Fractal Geometry of, Nature. W.H. Freeman and Company, 1982.

L. R. Mason and J. B. Bohlin, Network optimization of a radionuclide monitoring system for the comprehensive nuclear test ban treaty, Pacific-Sierra Research Corporation, 1995.

G. Mathéron, Principles of geostatistics, Economic Geology, vol.58, issue.8, pp.1246-1266, 1963.
DOI : 10.2113/gsecongeo.58.8.1246

M. , A. , T. Hill, and J. J. Calls, Cfd and gaussian atmospheric dispersion models : A comparison for leak from carbon dioxide transportation and storage facilities, Atmospheric environment, vol.42, pp.8046-8054, 2008.

L. M. Nunes, E. Paralta, M. C. Cunha, and L. Ribeiro, Groundwater nitrate monitoring network optimization with missing data, Water Resources Research, vol.28, issue.1, p.40, 2004.
DOI : 10.1029/2003WR002469

D. Nychka and N. Saltzman, Design of Air-Quality Monitoring Networks, Case studies in environmental statistics, Nychka, D., and Cox, L., and Piegorsch, 1998.
DOI : 10.1007/978-1-4612-2226-2_4

E. Pardo-igúzquita, Optimal selection of number and location of rainfall gauges for areal rainfall estimation using geostatistics and simulated annealing, Journal of Hydrology, vol.210, issue.1-4, pp.206-220, 1998.
DOI : 10.1016/S0022-1694(98)00188-7

F. Raes, M. D. Cort, and G. Graziani, Multi-fractal Nature of Radioactivity Deposition on Soil After the Chernobyl Accident, Health Physics, vol.61, issue.2, pp.271-274, 1991.
DOI : 10.1097/00004032-199108000-00013

R. Ruiz, C. , and A. R. Marco, Stochastic search algorithms for optimal design of monitoring networks, Environmetrics, 2009.

J. S. Reay and D. T. Swift-hook, The Philosophy of Monitoring [and Discussion], Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol.290, issue.1376, 1979.
DOI : 10.1098/rsta.1979.0017

P. Reed, B. Minsker, and A. J. Valocchi, Cost-effective long-term groundwater monitoring design using a genetic algorithm and global mass interpolation, Water Resources Research, vol.19, issue.3, 2000.
DOI : 10.1029/2000WR900232

C. Rojas-palma, Data assimilation in the decision support system RODOS, Radiation Protection Dosimetry, vol.104, issue.1, 2003.
DOI : 10.1093/oxfordjournals.rpd.a006160

J. A. Royle and D. Nychka, An algorithm for the construction of spatial coverage designs with implementation in SPLUS, Computers & Geosciences, vol.24, issue.5, pp.479-488, 1997.
DOI : 10.1016/S0098-3004(98)00020-X

O. Saunier and M. Bocquet, Model reduction via principal component truncation for the optimal design of atmospheric monitoring networks, Atmospheric Environment, vol.43, issue.32, pp.4940-4950, 2009.
DOI : 10.1016/j.atmosenv.2009.07.011

URL : https://hal.archives-ouvertes.fr/inria-00561635

M. L. Stein, Interpolation of Spatial Data : Some Theory for Kriging, 1999.
DOI : 10.1007/978-1-4612-1494-6

R. Tibshirani, Regression shrinkage and selection via the lasso, J. Royal. Statist, 1996.

A. Trujillo-ventura and J. H. Ellis, Multiobjective air pollution monitoring network design, Atmospheric Environment. Part A. General Topics, vol.25, issue.2, pp.469-479, 1991.
DOI : 10.1016/0960-1686(91)90318-2

J. Van-groenigen and A. Stein, Constrained Optimization of Spatial Sampling using Continuous Simulated Annealing, Journal of Environment Quality, vol.27, issue.5, pp.1078-1086, 1998.
DOI : 10.2134/jeq1998.00472425002700050013x

A. W. Warrick and D. E. Myers, Optimization of sampling locations for variogram calculations, Water Resources Research, vol.48, issue.3, pp.496-500, 1987.
DOI : 10.1029/WR023i003p00496

J. Wu, C. Zheng, and C. C. Chien, Cost-effective sampling network design for contaminant plume monitoring under general hydrogeological conditions, Journal of Contaminant Hydrology, vol.77, issue.1-2, pp.41-65, 2005.
DOI : 10.1016/j.jconhyd.2004.11.006

L. Wu and M. Bocquet, Optimal reduction of the ozone monitoring network over France, Atmospheric Environment, vol.44, issue.25, 2009.
DOI : 10.1016/j.atmosenv.2010.04.012

URL : https://hal.archives-ouvertes.fr/inria-00538533

S. Wu and J. V. Zidek, An entropy-based analysis of data from selected NADP/NTN network sites for 1983???1986, Atmospheric Environment. Part A. General Topics, vol.26, issue.11, pp.2089-2103, 1992.
DOI : 10.1016/0960-1686(92)90093-Z

P. Zannetti, Air pollution modeling : theories, computational methods, and available software, 1990.
DOI : 10.1007/978-1-4757-4465-1

J. V. Zidek, W. Sun, and N. D. Le, Designing and integrating composite networks for monitoring multivariate gaussian pollution fields, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.49, issue.1, pp.63-79, 2000.
DOI : 10.1111/1467-9876.00179