Nonparametric Assessment of Aftershock Clusters of the Maule Earthquake Mw = 8:8

10.6339/JDS.2013.11(4).1188

Javier E. Contreras-Reyes

Aftershock distribution ； kernel density estimation ； Maule 2010 earthquake ； nonparametric density-based clustering ； slip model

Journal of Data Science

11卷4期（2013 / 10 / 01）

623 - 638

英文

We study the spatial distribution of clusters associated to the aftershocks of the megathrust Maule earthquake MW 8.8 of 27 February 2010. We used a recent clustering method which hinges on a nonparametric estimation of the underlying probability density function to detect subsets of points forming clusters associated with high density areas. In addition, we estimate the probability density function using a nonparametric kernel method for each of these clusters. This allows us to identify a set of regions where there is an association between frequency of events and coseismic slip. Our results suggest that high coseismic slip is spatially related to high aftershock frequency.