Blind-testing Experiments for Interpreting Spatial-prediction Patterns of Landslide Hazard

Blind-testing Experiments for Interpreting Spatial-prediction Patterns of Landslide Hazard

Andrea G. Fabbri Chang-Jo Chung 

DISAT, University of Milano-Bicocca, Milan, Italy

SpatialModels Inc., Ottawa, Canada

30 June 2016
| Citation



In this contribution, we analyse three separate databases in case study areas each suggestive of particular strategies to better portray their predictive power. A database in north-eastern Spain is used to separate sub-areas, with hopefully more compatible geomorphologic settings. Another database in central Portugal offers the opportunity of representing the uncertainty of predicted hazard class membership via iterative cross-validation with systematically partitioned landslide occurrences. A third database in central Slovenia is used to interpret the predictive qualities of two dynamic types of landslides: one that is relatively well predicting and the other one poorly predicting. The diversity of the experiments and their results, point at strategies of blind-testing, still unexploited in spatial prediction modelling, that are not necessarily limited to the landslide hazard domain.


blind testing, cross-validation, empirical likelihood ratios, landslide hazard, prediction patterns, prediction-rate curves, target pattern


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