Abstract
One of the most significant challenges in Participatory GIS (PGIS) is ensuring that results are incorporated into decision-making processes. A key issue is the lack of a means to quantify the findings of PGIS surveys, which typically contain interdependent, contradictory and conflicting information with varying degrees of participant confidence; resulting in high levels of uncertainty that are not adequately represented in conventional methods. This research describes a novel extension to Dempster-Shafer theory that permits PGIS datasets to be quantified in a manner that adequately incorporates these uncertainties, enabling their meaningful adoption into analysis and decision- making.
Original language | English |
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DOIs | |
Publication status | Published - 30 Apr 2025 |