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A Framework for Sensitivity Analysis in Spatial Multiple Criteria Evaluation

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Geographic Information Science (GIScience 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5266))

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Abstract

The paper presents a framework for sensitivity analysis (SA) in spatial multiple criteria evaluation (S-MCE). The framework focuses on three aspects of S-MCE: spatiality, scope, and cardinality. Spatiality stresses the importance of spatial criteria and spatial weights that should be explicitly considered in GIS-based MCE. Scope relates to the extent of SA, ranging from local one-at-a-time criterion examination to global testing of interdependencies among the multiple criteria model components. Cardinality addresses the duality of motivation for performing SA, namely, single-user learning and group consensus building. The framework organizes the existing SA techniques according to spatiality and scope and can be used as a conceptual guide in selecting SA techniques fitting a task at hand.

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Authors and Affiliations

  1. Department of Geography, Michigan State University, 116 Geography Building, East Lansing, MI 48824-1117, USA

    Arika Ligmann-Zielinska

  2. Department of Geography, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182-4493, USA

    Piotr Jankowski

Authors
  1. Arika Ligmann-Zielinska
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  2. Piotr Jankowski
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Thomas J. Cova Harvey J. Miller Kate Beard Andrew U. Frank Michael F. Goodchild

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Ligmann-Zielinska, A., Jankowski, P. (2008). A Framework for Sensitivity Analysis in Spatial Multiple Criteria Evaluation. In: Cova, T.J., Miller, H.J., Beard, K., Frank, A.U., Goodchild, M.F. (eds) Geographic Information Science. GIScience 2008. Lecture Notes in Computer Science, vol 5266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87473-7_14

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  • DOI: https://doi.org/10.1007/978-3-540-87473-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87472-0

  • Online ISBN: 978-3-540-87473-7

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