%0 Conference Proceedings %T A New Relational Spatial OLAP Approach For Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data %+ Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) %+ Gestion de l'Eau, Acteurs, Usages (UMR G-EAU) %+ Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF) %+ Département Informatique pour les Systèmes Coopératifs Ouverts et Décentralisés (ISCOD-ENSMSE) %A Zaamoune, Mehdi %A Bimonte, Sandro %A Pinet, François %A Beaune, Philippe %< avec comité de lecture %( ICEIS 2013 INSTICC International Conference on Enterprise Information Systems, July 3-7, 2013, Angers %B ICEIS 2013 INSTICC International Conference on Enterprise Information Systems %C Angers, France %P p. %8 2013-07-03 %D 2013 %K Spatial OLAP %K incomplete continuous field %K multi-resolution geographic data %Z Computer Science [cs]/Databases [cs.DB]Conference papers %X Integrating continuous spatial data into SOLAP systems is a new research challenge. Moreover, representation of field data at different scales or resolutions is often mandatory for an effective analysis. Thus, in this paper, we propose a logical model to integrate spatial dimensions representing incomplete field data at different resolutions in a classical SOLAP architecture. %G English %2 https://uca.hal.science/hal-00965471/document %2 https://uca.hal.science/hal-00965471/file/PUB00040428.pdf %L hal-00965471 %U https://uca.hal.science/hal-00965471 %~ EMSE %~ IRD %~ CIRAD %~ INSTITUT-TELECOM %~ AGROPARISTECH %~ PRES_CLERMONT %~ IRSTEA %~ PARISTECH %~ FAYOL-ENSMSE %~ ISCOD-ENSMSE %~ AGROPOLIS %~ AGREENIUM %~ G-EAU %~ MONTPELLIER-SUPAGRO %~ INSTITUTS-TELECOM %~ INRAE %~ INRAEOCCITANIEMONTPELLIER %~ TSCF %~ INSTITUT-AGRO