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

Y. Bédard, T. Merrett, and J. Han, Fundamentals of spatial data warehousing for geographic knowledge discovery, Geographic data mining and 525 knowledge discovery, pp.53-73, 2001.

S. Bimonte and M. , 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

B. Laure, C. Isabelle, C. Mireille, K. Zoubida, N. Sylvaine et al., Assessment and analysis of information quality: a multidimensional model and case studies, International Journal of Information Quality, vol.2, issue.4, pp.300-323, 2011.

F. Vernier, A. Miralles, F. Pinet, N. Carluer, V. Gouy et al., EIS Pesticides: An environmental information system to characterize agricultural activities and calculate agro-environmental indicators at embedded watershed scales, Agricultural Systems, vol.122, pp.11-21, 2013.
DOI : 10.1016/j.agsy.2013.07.005

C. Grac, A. Braud, F. L. Ber, and M. Trémolières, Un système d'information pour le suivi et l'évaluation de la qualité des cours d'eau ? Application à l'hydro-écorégion de la plaine d'Alsace, RSTI -Ingénierie des Systèmes, pp.16-25, 2011.

C. Suteanul, A Scale-Space Information Flux Approach to Natural Irregular Patterns: Methods and Applications, Journal of Environmental Informatics, vol.16, issue.2, pp.57-69, 2010.

]. E. Malinowski and E. Zimanyi, Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications, p.550, 2008.

J. Mazón and J. Trujillo, An MDA approach for the development of data warehouses, Decision Support Systems, vol.45, issue.1, pp.41-58, 2008.
DOI : 10.1016/j.dss.2006.12.003

]. S. Nilakanta, K. Scheibe, and A. Rai, Dimensional issues in agricultural data warehouse designs, Computers and Electronics in Agriculture, vol.60, issue.2, pp.555-263, 2008.
DOI : 10.1016/j.compag.2007.09.009

M. Jarke, M. A. Jeusfeld, C. Quix, and P. Vassiliadis, Architecture and quality in data warehouses: An extended repository approach, Information Systems, vol.24, issue.3, pp.229-253, 1999.
DOI : 10.1016/S0306-4379(99)00017-4

E. Rahm and H. H. Do, Data Cleaning: Problems and Current Approaches, IEEE Data Eng. Bull, vol.23, issue.4, pp.3-13, 2000.

M. L. Lee, H. Lu, T. W. Ling, and Y. T. Ko, Cleansing Data for Mining and Warehousing, Database and Expert Systems Applications. 10th International Conference, DEXA'99, pp.751-760, 1999.
DOI : 10.1007/3-540-48309-8_70

H. Muller and J. , Freytag, Problems, Methods, and Challenges in Compre- 570 hensive Data Cleansing, 2003.

Y. Zhu and A. Buchmann, Evaluating and Selecting Web Sources as External Information Resources of a Data Warehouse, 3rd International Conference on Web Information Systems Engineering (WISE), pp.575-149, 2002.

G. C. Amaral and M. L. Campos, AQUAWARE: A Data Quality Support Environment for Data Warehousing, pp.121-133, 2004.

V. Peralta, S. S. Cherfi, and V. Thion-goasdoué, Assessment and analysis of information quality: a multidimensional model and case studies, pp.300-323, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01196488

V. Peralta, V. Thion-goasdoué, Z. Kedad, L. Berti-equille, I. Comyn-wattiau et al., Multidimensional Management 585 and Analysis of Quality Measures for CRM Applications in an Electricity Company, pp.202-215, 2009.

V. Parmar and P. Goyal, Analysis On Axioms Of Spatial Data Quality, IJCA Proceedings on National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011, p.590, 2012.

D. Danko, ISO 19115 Geographic Information -Metadata, ISO/TC211 Geographic information, Geomatics, Tech. rep., ISO, 2000.

A. Bertaux, F. L. Ber, A. Braud, and M. Trémolières, Identifying ecological 595 traits: a concrete fca-based approach, 7th International Conference on Formal Concept Analysis, pp.224-236, 2009.

M. Fabrègue, A. Braud, S. Bringay, F. L. Ber, and M. Teisseire, OrderSpan: Mining Closed Partially Ordered Patterns, The Twelfth International 600 Symposium on Intelligent Data Analysis, pp.186-197, 2013.
DOI : 10.1007/978-3-642-41398-8_17