The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
On relationships offering new drill-across possibilities
Proceedings of the 5th ACM international workshop on Data Warehousing and OLAP
Cooperation with geographic databases
Multidimensional databases
Multidimensional data modeling for location-based services
The VLDB Journal — The International Journal on Very Large Data Bases
Geovisualization for Knowledge Construction and Decision Support
IEEE Computer Graphics and Applications
Capturing summarizability with integrity constraints in OLAP
ACM Transactions on Database Systems (TODS)
OLAP over uncertain and imprecise data
The VLDB Journal — The International Journal on Very Large Data Bases
Towards a logical multidimensional model for spatial data warehousing and OLAP
DOLAP '06 Proceedings of the 9th ACM international workshop on Data warehousing and OLAP
Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications)
An MDA Approach for the Development of Spatial Data Warehouses
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Enriching Spatial OLAP with Map Generalization: a Conceptual Multidimensional Model
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Spatio-temporal and multi-representation modeling: a contribution to active conceptual modeling
Active conceptual modeling of learning
Towards the definition of spatial data warehouses integrity constraints with spatial OCL
DOLAP '10 Proceedings of the ACM 13th international workshop on Data warehousing and OLAP
Multidimensional structures dedicated to continuous spatiotemporal phenomena
BNCOD'05 Proceedings of the 22nd British National conference on Databases: enterprise, Skills and Innovation
When Spatial Analysis Meets OLAP: Multidimensional Model and Operators
International Journal of Data Warehousing and Mining
Visual Mobility Analysis using T-Warehouse
International Journal of Data Warehousing and Mining
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Map generalization can be used as a central component of Spatial Decision Support Systems to provide a simplified and more readable cartographic visualization of geographic information. Indeed, it supports the user mental process for discovering important and unknown geospatial relations, trends and patterns. Spatial OLAP SOLAP integrates spatial data into OLAP and data warehouse systems. SOLAP models and tools are based on the concepts of spatial dimensions and measures that represent the axes and the subjects of the spatio-multidimensional analysis. Although powerful under some respect, current SOLAP models cannot support map generalization capabilities. This paper provides the first effort to integrate Map Generalization and OLAP. Firstly the authors define all modeling and querying requirements to do this integration, and then present a SOLAP model and algebra that support map generalization concepts. The approach extends SOLAP spatial hierarchies introducing multi-association relationships, supports imprecise measures, and it takes into account spatial dimensions constraints generated by multiple map generalization hierarchies.