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The use of public spatial databases in risk analysis: A US-oriented tutorial
Michael R Greenberg1, Dona Schneider1, Louis Anthony Cox2
1Edward J. Bloustein School of Planning and Public Policy Rutgers, The State University of New Jersey, New Brunswick, New Jersey, USA.
This tutorial explores using US federal spatial databases for risk-informed policy. It highlights opportunities and challenges like data accuracy and spatial autocorrelation for hazard and risk assessment.
Area of Science:
- Environmental Science
- Geospatial Data Analysis
- Public Policy Research
Background:
- Six large, publicly accessible spatial databases from US federal agencies are available.
- These databases integrate community, demographic, economic, social, and hazard data.
- Spatial data offers opportunities for risk-informed policy and decision-making.
Purpose of the Study:
- To review opportunities and challenges in utilizing recent US federal spatial databases.
- To inform researchers and decision-makers on effective and cautious use of spatial data.
- To identify limitations and propose improvements for spatial dataset application.
Main Methods:
- Review of six major spatial databases from US federal agencies.
- Analysis of data accuracy, cell variations, and spatial autocorrelation issues.
- Examination of agency utilization, data limitations, and surrounding debates.
Main Results:
- Spatial databases offer significant potential for risk assessment and policy.
- Key challenges include data accuracy, spatial autocorrelation, and data cell variations.
- Ignoring these limitations can lead to misleading research findings.
Conclusions:
- Effective use of spatial databases requires acknowledging and addressing data limitations.
- A checklist is provided to guide users in accessing and utilizing spatial datasets.
- Cautious application of these resources can answer critical hazard and risk questions.
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