Case study with calling external model | Introduction | Monte Carlo methodology for uncertainty analysis | Uncertainty propagation analysis with 'spup' | Modify ASCII input files - rendering | Running external models | Acknowledgements

Case study with categorical data - calculating tax depending on a building function | Introduction | Adapted Monte Carlo methodology for spatial uncertainty analysis with a categorical variable | Building function uncertainty propagation analysis with 'spup' | Preliminaries - load and view the data | Define uncertainty model (UM) for the building function | Generate possible realities of the building function | Uncertainty propagation through the model that calculates tax revenue for the neighbourhood | Acknowledgements

Case study with spatially variable standard deviation - slope calculations | Introduction/Problem definition | Monte Carlo methodology for spatial uncertainty analysis with spatially variable sd | DEM uncertainty propagation analysis with 'spup' | Preliminaries - load and view the data | Define uncertainty model (UM) for elevation | Generate possible realities of DEM | Uncertainty propagation through the model that calculates slope using elevation as input | Visualization of results | Acknowledgements | References

Case study with cross-correlated variables | Introduction/Problem definition | Monte Carlo methodology for spatial uncertainty analysis with spatially cross-correlated variables | C/N uncertainty propagation analysis with 'spup' | Preliminaries - load and view the data | Define uncertainty model (UM) for the cross-correlated OC and TN | Generate possible realities of OC and TN | Uncertainty propagation through the model that calculates C/N ratio | Visualization of results | Acknowledgements | References