Uncertainty and sensitivity analysis: tools for GIS-based model implementation

By Michele Crosetto, Stefano Tarantola. International Journal of Geographical Information Science, 2001

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Causes and consequences of error in digital elevation models (2006, background): “Interestingly, Davis et al. (2001) have modelled the relationship between the estimated stereo-correlation quality within the DPS and the RMSE obtained of the resulting DEM when compared with a higher accuracy kinematic GPS survey.”
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models (2004, background): “An example is given in Crosetto and Tarantola (2001). It is not impossible for a factor to be a trigger that drives the choice of one input data set versus another, where each set represents internally consistent but mutually exclusive parametrisations of the system.”
Sensitivity analysis practices: Strategies for model-based inference (2006, background): “Applications worked by the authors include atmospheric chemistry [9,10], transport emissions [11], fish population dynamics [12] composite indicators [13], portfolios [14], oil basins models [15], radioactive waste management [16], geographic information systems [17], solid-state physics [18].”