IMPLEMENTING SPATIAL DATA WAREHOUSE HIERARCHIES IN OBJECT-RELATIONAL DBMSs

2011 ◽  
pp. 2542-2557
Author(s):  
Marcus Costa Sampaio ◽  
Cláudio de Souza Baptista ◽  
André Gomes de Sousa ◽  
Fabiana Ferreira do Nascimento

This chapter introduces spatial dimensions and measures as a means of enhancing decision support systems with spatial capabilities. By some way or other, spatial related data has been used for a long time; however, spatial dimensions have not been fully exploited. It is presented a data model that tightly integrates data warehouse and geographical information systems — so characterizing a spatial data warehouse (SDW) — ; more precisely, the focus is on a formalization of SDW concepts, on a spatial-aware data cube using object-relational technology, and on issues underlying a SDW — specially regarding spatial data aggregation operations. Finally, the MapWarehouse prototype is presented aiming to validate the ideas proposed. The authors believe that SDW allows for the efficient processing of queries that use, jointly, spatial and numerical temporal data (e.g., temporal series from summarized spatial and numerical measures).


Author(s):  
Iftikhar U. Sikder ◽  
Aryya Gangopadhyay

This chapter introduces the research issues on spatial decision-making in the context of distributed geo-spatial data warehouse. Spatial decision-making in a distributed environment involves access to data and models from heterogeneous sources and composing disparate services into a meaningful integration. The chapter reviews system integration and interoperability issues of spatial data and models in a distributed computing environment. We present a prototype system to illustrate the collaborative access to data and as a model for supporting spatial decision-making.


Author(s):  
Perez David ◽  
Somodevilla Maria ◽  
Pineda Ivo

Sign in / Sign up

Export Citation Format

Share Document