After successful application of the cross-correlation analysis of earthquake and microtremor data, it is natural to make two stations coincide with each other, that is, to utilize the auto-correlation of a single-station measurement.
For the 3 decades time scale, pre-shock accelerating moment release (AMR) can be observed, with potential correlation with the segmentation of earthquake fault.
The azimuthal directivity of co-seismic ionospheric perturbations (CIP) amplitudes from near field exhibit excellent correlation with east-southeast propagation of earthquake rupture and associated surface deformations.
It is shown that, with a realistic model of the spatial variation of earthquake motion, there is very little correlation between the earthquake loading parameters at different platform locations.
The problem of earthquake prediction has stimulated the search for a correlation between seismic activity and ionospherical anomalies.
The vulnerability curves exhibit a strong correlation between damage potentiality (in terms of casualties) and ground motion of earthquake.
However, we could not find a clear correlation between the number of earthquakes and the moment of the aseismic slip, indicating that they are not driving each other in these segments for the period in this study.
In this study, we analyzed stress drops of these moderate-sized earthquakes and investigated the correlation of their spatial pattern with slip distributions of large historical earthquakes.
Using the rate and state framework, Beeler and Lockner (2003) predicted correlation between earthquake occurrence and periodic stress only in cases of longer periods than earthquake nucleation time.
A separate type of earthquake is associated with volcanic activity and is called a volcanic earthquake.
