A. Abdullah, Analysis of mealybug incidence on the cotton crop using ADSS-OLAP 648, Online Analytical Processing) tool. Computers and Electronics in Agriculture, pp.59-72, 2009.

V. Beaujouan, P. Durand, and L. Ruiz, Modelling the effect of the spatial distribution 651 of agricultural practices on nitrogen fluxes in rural catchments, Ecological Modelling, vol.137, issue.100, pp.65293-105, 2001.

V. Beaujouan, P. Durand, L. Ruiz, P. Aurousseau, C. et al., A hydrological 654 model dedicated to topography-based simulation of nitrogen transfer and transformation: 655 rationale and application to the geomorphology denitrification relationship, p.656, 2002.

F. Bentayeb and C. Favre, RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries, Proceedings of the International Conference on Database 9_43 665, 2009.
DOI : 10.1109/ICDE.1999.754950

F. Cernesson, C. Grac, and D. Ienco, A quality-aware spatial data warehouse for 667 querying hydroecological data, Computers & Geosciences, vol.85, pp.126-135, 2015.

K. Beven, TOPMODEL: A critique, Hydrological Processes, vol.30, issue.9, pp.1069-1085, 1997.
DOI : 10.1007/978-3-662-01145-4_17

S. Bimonte and M. Miquel, When Spatial Analysis Meets OLAP, International Journal of Data Warehousing and Mining, vol.6, issue.4, pp.33-60, 2010.
DOI : 10.4018/jdwm.2010100103
URL : https://hal.archives-ouvertes.fr/hal-01381525

T. Bouadi, M. Cordier, and R. Quiniou, Incremental computation of skyline 678 queries with dynamic preferences, Proceedings of the International Conference on 679, 2012.

T. Bouadi, M. Cordier, and R. Quiniou, Computing hierarchical skyline queries 682 "on-the-fly" in a data warehouse, Proceedings of the International Conference on Data 683, 2014.

K. Boulil, L. Ber, F. Bimonte, S. Grac, C. Cernesson et al., Multidimensional 686 modeling and analysis of large and complex watercourse data: an olap-based solution, 2014.

J. Chanet, Guaranteeing the quality of multidimensional analysis in data 690 warehouses of simulation results: application to pesticide transfer data produced by the 691 macro model, Ecological Informatics, vol.16, pp.41-52, 2013.

X. Tayot, D. Plenet, P. Cellier, J. Machet, J. Meynard et al., STICS: and parameterization applied to wheat and corn, Agronomie, vol.18, issue.1, pp.311-346, 1998.
URL : https://hal.archives-ouvertes.fr/hal-00885888

S. Chaudhuri and U. Dayal, An overview of data warehousing and OLAP technology, ACM SIGMOD Record, vol.26, issue.1, p.700, 1997.
DOI : 10.1145/248603.248616

M. Chen, Q. Zhu, C. , and Z. , An integrated interactive environment for knowledge 702 discovery from heterogeneous data resources. Information & Software Technology, pp.703-43487, 2001.
DOI : 10.1016/s0950-5849(01)00159-8

Q. Chen, U. Dayal, and M. Hsu, An OLAP-based Scalable Web Access Analysis Engine, 2000.
DOI : 10.1007/3-540-44466-1_21
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.1079

F. Chuffart, N. Dumoulin, T. Faure, and G. Deffuant, SimExplorer: programming 708 experimental design on models and managing quality of modelling process, 2010.

P. Durand, F. Ferchaud, J. Salmon-monviola, F. Goetschel, M. et al., Etude 711, 2006.

J. Probst, P. Durand, and S. Gascoin, Extracting Soil Water Holding Capacity 721 Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical 722, 2016.

A. Giacometti, P. Marcel, and E. Negre, A framework for recommending OLAP 734 queries, Proceedings of the ACM international workshop on data warehousing and 735 OLAP, pp.73-80, 2008.

S. Goil and A. Choudhary, PARSIMONY: An Infrastructure for Parallel Multidimensional Analysis and Data Mining, Journal of Parallel and Distributed Computing, vol.61, issue.3, pp.61285-321, 2001.
DOI : 10.1006/jpdc.2000.1691
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.135.7702

J. Gray, A. Bosworth, A. Layman, and H. Pirahesh, Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS, Proceedings of the Twelfth International Conference on Data Engineering, pp.152-159, 1996.
DOI : 10.1109/ICDE.1996.492099
URL : http://arxiv.org/pdf/cs/0701155

J. Han, OLAP Mining: An Integration of OLAP with Data Mining, Proceedings of 744 the Working Conference on Database Semantics, pp.1-9, 1997.
DOI : 10.1007/978-0-387-35300-5_1

C. Hénault and J. C. Germon, NEMIS, a predictive model of denitrification on the field scale, European Journal of Soil Science, vol.9, issue.2, pp.257-270, 2000.
DOI : 10.4141/cjss92-003

W. H. Inmon, Building the data warehouse, 2005.

D. L. Isaacson and R. W. Madsen, Markov chains, theory and applications, vol.4, 1976.

R. Kimball, The Data Warehouse Toolkit: Practical Techniques for Building 755 Dimensional Data Warehouses, 1996.

F. G. Laniak, G. Olchin, and J. Goodall, Integrated environmental modelling: a 757 vision and roadmap for the future. Environmental Modelling and Software, pp.3-23, 2013.

H. Mahboubi, S. Bimonte, T. Faure, and F. Pinet, Data warehouse and OLAP for 767 environmental simulation data, International Journal of Agricultural and Environmental, vol.768, issue.1, pp.1-19, 2010.

F. Vertès, Reconciling technical, economic and environmental efficiency of 771 farming systems in vulnerable areas, Agriculture, Ecosystems & Environment, vol.147, pp.89-99, 2012.

J. Salmon-monviola, D. , and P. , Modeling the potential benefits of catch-crop 775 introduction in fodder crop rotations in a Western Europe landscape, Science of the Total, vol.776, 2012.

P. Moreau, V. Viaud, V. Parnaudeau, J. Salmon-monviola, and P. Durand, An approach 778 for global sensitivity analysis of a complex environmental model to spatial inputs and 779 parameters: A case study of an agro-hydrological model, Environmental Modelling, p.780, 2013.

O. 'callaghan, J. F. Mark, and D. M. , The Extraction of Drainage Networks from Digital Elevation 785, 1984.

. Data, Computer Vision, Graphics and Image Processing, pp.323-344

F. Oehler, P. Durand, P. Bordenave, Z. Saadi, and J. Salmon-monviola, Modelling denitrification at the catchment scale, Science of The Total Environment, vol.407, issue.5, pp.1726-788, 2009.
DOI : 10.1016/j.scitotenv.2008.10.069
URL : https://hal.archives-ouvertes.fr/hal-01460910

H. Pinto, J. Han, J. Pei, K. Wang, Q. Chen et al., Multi-dimensional 793 sequential pattern mining, Proceedings of the International Conference on Information 794 and Knowledge Management, pp.81-88, 2001.
DOI : 10.1145/502598.502600
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.379

S. E. Zee, New challenges in integrated water quality modeling, 2010.

J. Salmon-monviola, P. Durand, F. Ferchaud, F. Oehler, and L. Sorel, Modelling 799 spatial dynamics of cropping systems to assess agricultural practices at the catchment scale. 800 Computers and electronics in agriculture, pp.1-13, 2012.

C. Gascuel-odoux, Effect of climate change and increased atmospheric co2 on 804 hydrological and nitrogen cycling in an intensive agricultural headwater catchment in 805 western France, Climatic change, vol.120, issue.12, pp.433-447, 2013.

S. Sarawagi, Explaining differences in multidimensional aggregates, Proceedings of 808 the International Conference on Very Large Data Bases, pp.42-53, 1999.

S. Sarawagi, R. Agrawal, and N. Megiddo, Discovery-driven exploration of OLAP 810 data cubes, Proceedings of the International Conference on Extending Database 811 Technology: Advances in Database Technology, pp.168-182, 1998.

G. Sathe and S. Sarawagi, Intelligent rollups in multidimensional OLAP data, 814 Proceedings of the International Conference on Very Large Data Bases, pp.531-540, 2001.

L. Sautot, B. Faivre, L. Journaux, and P. Molin, The hierarchical agglomerative clustering with Gower index: A methodology for automatic design of OLAP cube in ecological data processing context, Ecological Informatics, vol.26, issue.2, pp.217-230, 2015.
DOI : 10.1016/j.ecoinf.2014.07.011
URL : https://hal.archives-ouvertes.fr/hal-01060817

F. Vernier, A. Miralles, F. Pinet, N. Carluer, V. Gouy et al., Eis 820 pesticides: An environmental information system to characterize agricultural activities and 821 calculate agro-environmental indicators at embedded watershed scales Agricultural 822, 2013.
DOI : 10.1016/j.agsy.2013.07.005

V. Viaud, P. Durand, P. Merot, E. Sauboua, and Z. Saadi, Modeling the impact of 824 the spatial structure of a hedge network on the hydrology of a small catchment in a 825 temperate climate, pp.135-163, 2005.

C. Wellen, A. R. Kamran-disfani, and G. B. Arhonditsis, Evaluation of the Current State 828 of Distributed Watershed Nutrient Water Quality Modeling, Environmental Science Technology, vol.829, issue.496, pp.3278-3290, 2015.