The m-Morisita index analysis was applied to the Swiss seismicity to investigate its space clustering properties. The analysis of the whole and aftershock depleted catalogs has revealed that the whole catalog is more spatially clusterized than the depleted one and that the clustering increases...

In many fields, the spatial clustering of sampled data points has significant consequences. Therefore, several indices have been proposed to assess the degree of clustering affecting datasets (e.g. the Morisita index, Ripley’s K-function and Rényi’s information). The classical Morisita...