DocumentCode
3190160
Title
Spatial OLAP for agri-environmental data and analysis: Lessons learned
Author
Bimonte, Sandro
Author_Institution
Irstea, TSCF, Aubiere, France
fYear
2015
fDate
25-29 May 2015
Firstpage
1393
Lastpage
1398
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on
Conference_Location
Opatija
Type
conf
DOI
10.1109/MIPRO.2015.7160492
Filename
7160492
Link To Document