Please use this identifier to cite or link to this item:
|Title:||Sensitivity Analysis on Spatial Models: a New Approach|
|Authors:||TARANTOLA STEFANO; GATELLI DEBORA|
|Citation:||Proceedings of Accuracy 2006 - The 7th International Symposium on Spatial Accuracy p. 329-338|
|Publisher:||Instituto Geográfico Português|
|Type:||Contributions to Conferences|
|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 Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.