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Explore the need for spatial data warehouse research in various fields such as urban planning, retail, logistics, and security. This survey presents challenges, objectives, and classification to effectively consolidate and compare approaches. Discover novel concepts, gap analysis, key results, and research needs for future work in spatial data warehouses.
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CSci 8715 :Spatial Databases Spatial Data Warehouses : A Survey Group 4: Nipun Garg Surabhi Mithal http://www-users.cs.umn.edu/~smithal/
Motivation Need For Spatial DW Research literature scattered. Need for effective consolidation Applications in Urban Planning, Retail, Logistics, Forecasting, Security etc.
Problem Statement • Objectives • Effective grouping of topics • Good Coverage of literature. • Identification of future research areas. • Challenges • Classification • Scattered information. • Difficult to consolidate. • Difficult to compare different approaches
Source : http://www.spatial-eye.com/Engels/Applications/Spatial-DWH/page.aspx/117
Contribution & Classification(2) The papers referenced can be found here: http://www-users.cs.umn.edu/~smithal/HW4/P6.pdf
Spatial DW: Other Open Problems • Multiple Representations : • Aggregation from different sources. • Which one to choose when Roll up/Drill down • Double Counting while Aggregation. • 3-Dimensional Spatial objects. Source: Zlatanova, S., J.E. Stoter, and W. Quak. 2004. Management of multiple representations in spatial DBMSs
Future Work • Domain specific applications of SDW. • Health Care • Web based personalization • Environmental research • Research Literature on open problems for SDW. • Spatiotemporal research.