TY  - JOUR
ID  - epos195
UR  - http://dx.doi.org/10.1103/PhysRevLett.101.018501
IS  - 1
A1  - Zaliapin, Ilya
A1  - Gabrielov, Andrei
A1  - Keilis-Borok, Vladimir
A1  - Wong, Henry
Y1  - 2008/07//
N2  - We introduce a statistical methodology for clustering analysis of seismicity in the time-space-energy domain and use it to establish the existence of two statistically distinct populations of earthquakes: clustered and nonclustered. This result can be used, in particular, for nonparametric aftershock identification. The proposed approach expands the analysis of Baiesi and Paczuski [Phys. Rev. E 69, 066106 (2004)] based on the space-time-magnitude nearest-neighbor distance ? between earthquakes. We show that for a homogeneous Poisson marked point field with exponential marks, the distance ? has the Weibull distribution, which bridges our results with classical correlation analysis for point fields. The joint 2D distribution of spatial and temporal components of ? is used to identify the clustered part of a point field. The proposed technique is applied to several seismicity models and to the observed seismicity of southern California.
PB  - The American Physical Society
JF  - Physical Review Letters
VL  - 101
SN  - 0031-9007
TI  - Clustering Analysis of Seismicity and Aftershock Identification
AV  - none
ER  -