An Overview of Data Integration Methods for Regional Assessment

The U.S. Environmental Protections Agency's (U.S. EPA) Regional Vulnerability Assessment (ReVA) program has focused much of its research over the last five years on developing and evaluating integration methods for spatial data. An initial strategic priority was to use existing data from monitoring programs, model results, and other spatial data. Because most of these data were not collected with an intention of integrating into a regional assessment of conditions and vulnerabilities, issues exist that may preclude the use of some methods or require some sort of data preparation. Additionally, to support multi-criteria decision-making, methods need to be able to address a series of assessment questions that provide insights into where environmental risks are a priority. This paper provides an overview of twelve spatial integration methods that can be applied towards regional assessment, along with preliminary results as to how sensitive each method is to data issues that will likely be encountered with the use of existing data.

[1]  Elizabeth R. Smith,et al.  ENVIRONMENTAL AUDITING: An Integrated Environmental Assessment of the US Mid-Atlantic Region , 1999, Environmental management.

[2]  Sergio Rinaldi,et al.  Some models of catastrophic behavior in exploited forests , 1987 .

[3]  Kurt H. Riitters,et al.  Fuzzy Decision Analysis for Integrated Environmental Vulnerability Assessment of the Mid-Atlantic Region1 , 2002, Environmental management.

[4]  Robert B. Wenger,et al.  A method for assessing environmental risk: A case study of Green Bay, Lake Michigan, USA , 1994 .

[5]  Robert V. O'Neill,et al.  A Regional Approach to Projecting Land-Use Change and Resulting Ecological Vulnerability , 2004, Environmental monitoring and assessment.

[6]  Lucien Duckstein,et al.  Comparison of fuzzy numbers using a fuzzy distance measure , 2002, Fuzzy Sets Syst..

[7]  F. Kianifard.  Applied Multivariate Data Analysis: Volume II: Categorical and Multivariate Methods , 1994 .

[8]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[9]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[10]  P. Mahalanobis.  On the generalized distance in statistics , 1936 .

[11]  Liem T. Tran,et al.  Self-Organizing Maps for Integrated Environmental Assessment of the Mid-Atlantic Region , 2003, Environmental management.

[12]  James D. Wickham,et al.  An ecological assessment of the United States mid-Atlantic region , 1997 .

[13]  Daniel M. Dubois.  CATASTROPHE THEORY APPLIED TO WATER QUALITY REGULATION OF RIVERS , 1979 .

[14]  R. O'Neill,et al.  Recovery in complex ecosystems , 1998 .

[15]  Ar Johnson.  Evaluating Ecosystem Response to Toxicant Stress: A State Space Approach , 1988 .

[16]  Glenn W. Suter,et al.  Ecological risk assessment , 2006 .

[17]  William Warren-Hicks,et al.  Methods for Assessing Watershed-Scale Aquatic Risks for Multiple Stressors , 1997 .

[18]  Wayne G. Landis,et al.  Design considerations and a suggested approach for regional and comparative ecological risk assessment , 1997 .

[19]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[20]  Keith R. Solomon,et al.  Linking stressors and ecological responses , 1998 .

[21]  A. C. Rencher.  Methods of multivariate analysis , 1995 .