Authors: Michael T. Maliappis; Dimitris Kremmydas
Addresses: Laboratory of Informatics, Department of Agricultural Economics and Rural Development, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece ' Laboratory of Agribusiness Management, Department of Agricultural Economics and Rural Development, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece
Abstract: Statistical data for agricultural policy analysis has certain unique features: a multitude of sources of very different nature, a variety of dimensional granularity and different end user requirements. The utilisation of data warehouse (DW) technology is valuable for tackling the above issues and successfully offering data to policy stakeholders and modellers. In this paper, we briefly introduce the DW technology, discuss the DW design issues in the context of policy related data and investigate the several difficulties identified on building and using a DW for monitoring crop responses to climate change for two Greek regions.
Keywords: agricultural data; data warehouses; online analytical processing; OLAP; agricultural policy; Greece; case study; agriculture; crop monitoring; crop responses; climate change; data warehousing.
International Journal of Sustainable Agricultural Management and Informatics, 2016 Vol.2 No.2/3/4, pp.243 - 262
Available online: 30 Jan 2017 *Full-text access for editors Access for subscribers Purchase this article Comment on this article