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Integrating GIS components with knowledge discovery technology for environmental health decision support
Yvan Bédard1, Pierre Gosselin, Sonia Rivest
1Centre for Research in Geomatics, Université Laval, Québec, G1K 7P4, Pavillon Casault, Canada. yvan.bedard@scg.ulaval.ca
International Journal of Medical Informatics
|April 23, 2003
Summary
This study introduces Spatial OLAP (SOLAP), a new tool for Geographic Knowledge Discovery (GKD). SOLAP enhances public health decision-making by providing efficient data access, outperforming traditional GIS applications.
Area of Science:
- Computer Science
- Geographic Information Science
- Public Health Informatics
Background:
- Geographic Information Systems (GIS) and On-Line Analytical Processing (OLAP) are established technologies.
- Geographic Knowledge Discovery (GKD) requires advanced decision-support tools.
- Existing systems may not adequately support complex spatial data analysis for public health.
Purpose of the Study:
- Introduce Spatial OLAP (SOLAP) as a novel category of decision-support tools.
- Demonstrate SOLAP's application and advantages in environmental health and public health decision-making.
- Compare SOLAP with traditional GIS applications.
Main Methods:
- Development and presentation of the ICEM-SE project as a SOLAP application example.
- Description of the SOLAP system design.
- Explanation of data access mechanisms for detailed and aggregated spatial data.
Main Results:
- SOLAP facilitates fast and easy access to data crucial for GKD.
- The ICEM-SE project showcases SOLAP's utility in environmental health.
- SOLAP offers advantages over traditional GIS for public health applications.
Conclusions:
- SOLAP represents a significant advancement in decision-support tools for GKD.
- SOLAP effectively supports data-driven decision-making in public health.
- The integration of OLAP principles with GIS capabilities unlocks new potential for spatial analysis.