What is it about?
Land subsidence is a problem in many parts of the world. There are methods which spatially model likelihood or risks of such phenomena. Some of such models are based on expert opinions where experts weigh multiple criteria. Instead of heaving exactly one output of such a model we may want to know the certainties and uncertainties assoiated with the weighting of the factors used and society wants to know the consequences of such decisions. This study has increased the transparency of the results of a spatial decision analysis method by incorporating global sensitivity and uncertainty analyses.
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Why is it important?
The authors could significantly improveme the resulting accuracies of the spatial models.
Perspectives
While GIS (Geographic Information Systems) are widely used, the analytical network process (ANP) method is not often used within a spatially explicit multi-criteria decision making process
Thomas Blaschke
Universitat Salzburg
Read the Original
This page is a summary of: Multi-criteria risk evaluation by integrating an analytical network process approach into GIS-based sensitivity and uncertainty analyses, Geomatics Natural Hazards and Risk, December 2017, Taylor & Francis,
DOI: 10.1080/19475705.2017.1413012.
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