GI_Forum 2015, Volume 3 Journal for Geographic Information Science
Geospatial Minds for Society
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2015, Volume 3 Journal for Geographic Information Science
Geospatial Minds for Society ISSN 2308-1708 Online Edition ISBN 978-3-87907-558-4 Print Edition ISBN 978-3-7001-7826-2 Online Edition
doi:10.1553/giscience2015
GI_Forum, 2015Volume 3 2015, 645 pages Print edition is available at Wichmann-Verlag, Berlin
Bakhtiar Feizizadeh,
Stefan Kienberger,
Khalil Valizadeh Kamran
Sensitivity and Uncertainty Analysis Approach for GIS-MCDA Based Economic Vulnerability Assessment ()
S. 81 - 89doi:10.1553/giscience2015s81 Verlag der Österreichischen Akademie der Wissenschaften
Abstract: This research aims to employ a novel methodology for modelling uncertainty in the GIS environment. The spatially explicit sensitivity and uncertainty analysis was applied on Multicriteria Decision Analysis (MCDA) for an economic vulnerability assessment within the Salzach Basin. The main objective of this research is to demonstrate how a unified approach of uncertainty and sensitivity analysis can be applied to minimize the associated uncertainty within an economic vulnerability assessment. In order to achieve this objective, the following methodology, composed four steps, was applied: (1) computation of criteria weights using Analytic Hierarchy Process (AHP); (2) Monte Carlo Simulation was applied for computing the uncertainties associated with AHP weights; (3) the Global Sensitivity Analysis (GSA) was employed in the form of the model-independent method of output variance decomposition, in which the variability of vulnerability maps is apportioned to every criterion weight, generating one first-order (S) and one total-effect (ST) sensitivity index map per criterion weight; and (4) an Ordered Weighted Averaging method was applied for producing vulnerability maps. The results of this research demonstrated the robustness of spatially explicit GSA for minimizing the uncertainty associated with GISMCDA models. According to the achieved results, we conclude that applying the variance based GSA leads to a spatial and statistical assessment of the importance of each input factor on the outcome of the GIS-MCDA method, which allows us to introduce and recommend GIS based GSA as a useful methodology for minimizing uncertainty of GISMCDA. Published Online: 2015/06/26 08:02:37 Object Identifier: 0xc1aa5576 0x003249de Rights:https://creativecommons.org/licenses/by-nd/4.0/
The Journal for Geographic Information Science issue 1-2015 presents peer-reviewed papers
presented at the Geoinformatics
Forum (www.gi-forum.org), held in Salzburg from July 7-10,
2015. The annual GI_Forum symposium provides a platform for dialogue among geospatial minds
in an ongoing effort to support the creation of an informed GISociety.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |