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Sensitivity of wildlife habitat models to uncertainties in GIS dataDecision makers need to know the reliability of output products from GIS analysis. For many GIS applications, it is not possible to compare these products to an independent measure of 'truth'. Sensitivity analysis offers an alternative means of estimating reliability. In this paper, we present a CIS-based statistical procedure for estimating the sensitivity of wildlife habitat models to uncertainties in input data and model assumptions. The approach is demonstrated in an analysis of habitat associations derived from a GIS database for the endangered California condor. Alternative data sets were generated to compare results over a reasonable range of assumptions about several sources of uncertainty. Sensitivity analysis indicated that condor habitat associations are relatively robust, and the results have increased our confidence in our initial findings. Uncertainties and methods described in the paper have general relevance for many GIS applications.
Document ID
19920059309
Document Type
Reprint (Version printed in journal)
Authors
Stoms, David M. (NASA Headquarters Washington, DC United States)
Davis, Frank W. (NASA Headquarters Washington, DC United States)
Cogan, Christopher B. (California, University Santa Barbara, United States)
Date Acquired
August 15, 2013
Publication Date
June 1, 1992
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Volume: 58
Issue: 6 Ju
ISSN: 0099-1112
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Funding Number(s)
CONTRACT_GRANT: NAGW-1743
Distribution Limits
Public
Copyright
Other