2026-08-17T08:35:45Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:18937 2024-03-06T11:03:00Z ddc:004 open_access

An Integrated Uncertainty and Sensitivity Analysis for Spatial Multicriteria Models (Short Paper) Jankowski, Piotr Ligmann-Zielińska, Arika Zwoliński, Zbigniew Najwer, Alicja model uncertainty input factor sensitivity geodiversity spatial multicriteria models This paper introduces an integrated Uncertainty and Sensitivity Analysis (US-A) approach for Spatial Multicriteria Models (SMM). The US-A approach evaluates uncertainty and sensitivity by considering both criteria values and weights, providing spatially distributed measures. A geodiversity assessment case study demonstrates the application of US-A, identifying influential inputs driving uncertainty in specific areas. The results highlight the importance of considering both criteria values and weights in analyzing model uncertainty. The paper contributes to the literature on spatially-explicit uncertainty and sensitivity analysis by providing a method for analyzing both categories of SMM inputs: evaluation criteria values and weights, and by presenting a novel form of visualizing their sensitivity measures with bivariate maps. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Piotr Jankowski and Arika Ligmann-Zielińska and Zbigniew Zwoliński and Alicja Najwer 2023 Is Part Of LIPIcs, Volume 277, 12th International Conference on Geographic Information Science (GIScience 2023) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.GIScience.2023.42 urn:nbn:de:0030-drops-189375 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2023.42 eng https://creativecommons.org/licenses/by/4.0/legalcode