Preparation of Complex Landslide Simulation Results with Clustering Approaches for Decision Support and Early Warning

Recent catastrophic landslide events caused large human and material damages. This shows again, that there is still not enough protection against such kinds of natural hazards. In an ongoing research project a new approach to improve early warning systems of landslides is pursued: complex simulations of landslides are coupled with geoinformation systems (GIS). This allows on the one hand for a detailed investigation of unstable slopes with the help of the simulation and on the other hand for a user friendly preparation of the complex simulation results in the GIS for decision support. In this paper the interconnection between a GIS and a simulation system is briefly introduced and the main focus is put on cluster methods for the processing of the complex simulation results in a suitable way to support the user in the decision support and in the learning system, respectively.