Title: Sensitivity Analysis on Spatial Models: a New Approach
Citation: Proceedings of Accuracy 2006 - The 7th International Symposium on Spatial Accuracy p. 329-338
Publisher: Instituto Geográfico Português
Publication Year: 2006
JRC N°: JRC33571
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC33571
Type: Articles in periodicals and books
Abstract: Sensitivity analysis involves determining the contribution of individual input factors to uncertainty in model predictions. The most commonly used approach when doing a sensitivity analysis on spatial models is using Monte Carlo simulation. There are a number of techniques for calculating sensitivity indices from the Monte Carlo simulations, some more effective or efficient than others. These techniques are summarised along with their limitations. A new technique for undertaking a spatial sensitivity analysis based on the Sobol' method is proposed and tested. This method is global, variance-based, and model-free. The technique is illustrated with two simple test models.
JRC Directorate:Space, Security and Migration

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