GI_Forum 2013, Volume 1 Creating the GISociety – Conference Proceedings
|
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 |
|
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)
|
GI_Forum 2013, Volume 1 Creating the GISociety – Conference Proceedings
ISSN 2308-1708 Online Edition ISBN 978-3-87907-532-4 Print Edition ISBN 978-3-7001-7438-7 Online Edition
doi:10.1553/giscience2013
GI_Forum, Volume 1 2013, 566 pages Print edition is available at Wichmann-Verlag, Berlin
Bakhtiar Feizizadeh,
Piotr Jankowski,
Thomas Blaschke
S. 157 - 164 doi:10.1553/giscience2013s157 Verlag der Österreichischen Akademie der Wissenschaften
Abstract: GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is employed to assess the uncertainty associated with two methods of GIS-MCDA namely, Analytical Hierarchical Process (AHP) and Ordered Weighted Averaging (OWA). Our methodology consists of three stages. The first-stage analysis makes use of the AHP matrix weights for GIS-MCDA based landslide susceptibility mapping. This phase is based on a multicriteria evaluation which assesses the susceptibility areas and the landslide hazard potentiality by considering causal and diagnostic criteria. In the second stage the sensitivity and uncertainty analysis of the AHP weights is performed using Monte Carlo Simulation (MCS) and Global Sensitive Analysis (GSA). Finally, validation of results was performed using the existing landslide inventory. This paper carried out a GIS-MCDA uncertainty analysis and demonstrates a solution for the uncertainty modelling. Through the validation exercise with known existing landslides, the AHP clearly performed best. Results of this research demonstrate that further improvement of the accuracy of GIS-based MCDA can be achieved by employing the spatiality explicitly method and accordingly applying MCS and GSA for sensitivity analysis of the AHP weights. Published Online: 2013/06/20 17:32:54 Object Identifier: 0xc1aa5576 0x002e6e5c Rights:https://creativecommons.org/licenses/by-nd/4.0/
GIS as a technology has come a long way, from the
early adoption of technical wizardry to the ubiquitous,
if unconscious use by the masses. The creation
of the GISociety is on its way through technological
development, theoretical and empirical scientific
research and inclusion of technology into education
with increasing pedagogical justification.
Defining new dimensions of hard- and software,
brainware and orgware are all needed to further
develop the GISociety.
|
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 |