IDEAS home Printed from https://ideas.repec.org/a/spr/envman/v39y2007i4d10.1007_s00267-005-0082-9.html

Sensitivity Analysis of Aggregated Indices for Integrated Assessment with a Case Study of the Mid-Atlantic Region

Author

Listed:
  • Liem T. Tran

    (University of Tennessee, Knoxville, Department of Geography)

  • Robert V. O’Neill

    (T N & Associates)

  • Elizabeth R. Smith

    (Office of Research and Development, National Exposure Research Laboratory, U.S. Environmental Protection Agency)

  • C. Gregory Knight

    (Pennsylvania State University, Department of Geography)

Abstract

Environmental indicators are often aggregated into a single index for various purposes in environmental studies. Aggregated indices derived from the same data set can differ, usually because the aggregated indices’ sensitivities are not thoroughly analyzed. Furthermore, if a sensitivity analysis is carried out, it is not presented in a transparent fashion to policy decision-makers. This paper presents a method of generating various aggregated environmental indices and analyzing their sensitivities via the use of the fuzzy set concept. Results show that several insights into the environmental conditions of the study area (e.g., the distribution of good or bad values of indicators at a watershed and or across the region) can be revealed in the sensitivity analysis of aggregated indices.

Suggested Citation

  • Liem T. Tran & Robert V. O’Neill & Elizabeth R. Smith & C. Gregory Knight, 2007. "Sensitivity Analysis of Aggregated Indices for Integrated Assessment with a Case Study of the Mid-Atlantic Region," Environmental Management, Springer, vol. 39(4), pages 506-514, April.
  • Handle: RePEc:spr:envman:v:39:y:2007:i:4:d:10.1007_s00267-005-0082-9
    DOI: 10.1007/s00267-005-0082-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00267-005-0082-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s00267-005-0082-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envman:v:39:y:2007:i:4:d:10.1007_s00267-005-0082-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.