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Self-Organizing Maps for Integrated Assessment of the Mid-Atlantic Region

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Abstract:A. new method was developed to perform an environmental assessment for the
Mid-Atlantic Region (MAR). This was a combination of the self-organizing map (SOM) neural network and principal component analysis (PCA). The method is capable of clustering ecosystems in terms of environmental conditions and suggesting relative cumulative impacts across a large region. Using data on land-cover, population, roads, streams, air pollution, and
topography of the Mid-Atlantic region, we were able to point out areas which were in relatively
poor condition and/or vulnerable to future deterioration, Combining the strengths of SOM with
PCA, the method offers an easy and useful way to perform a regional environmental assessment.
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Citation:Tran, L. T., C. G. Knight, R. V. O'neill, E. R. Smith, and M. O'connell. Self-Organizing Maps for Integrated Assessment of the Mid-Atlantic Region. ENVIRONMENTAL MANAGEMENT 31(6):822-835, (2003).
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Contact: Chris Siebert - (702) 798-2234 or siebert.christopher@epa.gov
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Division: Environmental Sciences Division
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Branch: Landscape Characterization Branch (RTP)
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Product Type: Journal
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Published: 09/30/2003
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Related Entries:
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Bullet Item Regional Scale Comparative Risk Assessment
spacer Relationship Reason:   A Project of the Product
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Last Updated on Monday, October 22, 2007
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