2014International Journal of Open Problems in Computer Science and MathematicsRequires access

Requirements Engineering for a User Centric Spatial Data Warehouse

Vinay Kumar

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Abstract

Spatial data warehouses (SDW) are used for executing analytical multidimensional queries along with spatial analysis. With recent boom in technology, access and integration of multiple, distributed, heterogeneous and autonomous information sources storing spatial or non-spatial data has become the need. For this purpose, we have proposed a simple star schema to store spatial and non-spatial information in data warehouse. We have also given a framework of activities for collecting data from information sources and organizing it in a geo-spatial data store for querying data and visualizing results. The paper has also discussed the most basic requirements for handling spatial data that will help to develop a user-centric spatial data warehouse.

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What this paper is about

Spatial data warehouses (SDW) are used for executing analytical multidimensional queries along with spatial analysis. With recent boom in technology, access and integration of multiple, distributed, heterogeneous and autonomous information sources storing spatial or non-spatial data has become the need. For this purpose, we have proposed a simple star schema to store spatial and non-spatial information in data warehouse. We have also given a framework of activities for collecting data from information sources and organizing it in a geo-spatial data store for querying data and visualizing results. The paper has also discussed the most basic requirements for handling spatial data that will help to develop a user-centric spatial data warehouse.

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Available abstract

Spatial data warehouses (SDW) are used for executing analytical multidimensional queries along with spatial analysis. With recent boom in technology, access and integration of multiple, distributed, heterogeneous and autonomous information sources storing spatial or non-spatial data has become the need. For this purpose, we have proposed a simple star schema to store spatial and non-spatial information in data warehouse. We have also given a framework of activities for collecting data from information sources and organizing it in a geo-spatial data store for querying data and visualizing results. The paper has also discussed the most basic requirements for handling spatial data that will help to develop a user-centric spatial data warehouse.

Key concepts: Data warehouse, Warehouse, Mathematics, Computer science, Database, Data mining, Geography, Archaeology

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