Title :
Spatial OLAP for agri-environmental data and analysis: Lessons learned
Author_Institution :
Irstea, TSCF, Aubiere, France
Abstract :
Spatial Data warehouses and Spatial OLAP (SOLAP) systems allow analyzing huge volumes of georeferenced datasets. SOLAP has been successfully applied in several domains such as marketing, health, urbanism, etc. Few of SOLAP applications in the agricultural context have been proposed. The analysis of work reveals specific issues related to spatio-multidimensional analysis of agri-environmental data. Therefore, in this paper, we present our theoretical and implementation framework for agricultural SOLAP applications.
Keywords :
agriculture; data mining; data warehouses; SOLAP; agrienvironmental data; health; marketing; multidimensional analysis; spatial OLAP systems; spatial data warehouses; urbanism; Analytical models; Context; Data models; Design methodology; Servers; Spatial databases; Unified modeling language;
Conference_Titel :
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on
Conference_Location :
Opatija
DOI :
10.1109/MIPRO.2015.7160492
