Spatio-temporal log-Gaussian Cox processes on earthquake events.

This work presents an application of spatio-temporal log-Gaussian Cox processes for the description of earthquakes events. To explain the overall spatial trend, spatial geological information in the study area such as faults and volcanoes are introduced in the model. Moreover, an anisotropic specification of the covariance matrix of the Gaussian process is used to improve the explanation of the phenomenon. We apply and compare different models to explain the seismic events occurred in Alaska over the last decades.