We study the spatial clustering of earthquake epicenters using statistical depth. Data are spatial coordinates of Italian earthquake epicenters recorded in the period 1600 -- 2003 with magnitude greater than $4.5$ $M_w$. In general, data depth provides a centrality ordering according to a reference data set or probability distribution. In the present application, the depth value of a particular location with respect to the spatial distribution of epicenters is interpreted as a measure of seismic risk, i. e., deeper locations have higher risks. Hence, depth contours describe the risk profile of a territory. Both global and local depth functions are used, the former defining a monotonic ranking of the locations covered by the catalogue, the latter aimed at a more flexible ranking, possibly with multiple centers.

Spatial clustering of earthquakes by data depth

AGOSTINELLI, Claudio;ALBAREA, ANDREA;ROMANAZZI, Mario
2012

Abstract

We study the spatial clustering of earthquake epicenters using statistical depth. Data are spatial coordinates of Italian earthquake epicenters recorded in the period 1600 -- 2003 with magnitude greater than $4.5$ $M_w$. In general, data depth provides a centrality ordering according to a reference data set or probability distribution. In the present application, the depth value of a particular location with respect to the spatial distribution of epicenters is interpreted as a measure of seismic risk, i. e., deeper locations have higher risks. Hence, depth contours describe the risk profile of a territory. Both global and local depth functions are used, the former defining a monotonic ranking of the locations covered by the catalogue, the latter aimed at a more flexible ranking, possibly with multiple centers.
Analysis and modeling of Complex Data in Behavioural and Social Sciences
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/37337
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