Editorial of the Special Issue “Statistics and Pattern Recognition Applied to the Spatio-Temporal Properties of Seismicity”

In recent years, there have been significant advances in the understanding of seismicity scaling
laws, the study of spatiotemporal correlations, and earthquake clustering, with direct implications for
time-dependent seismic hazard assessment. New models based on seismicity patterns, considering
their physical and statistical significance, have shed light on the preparation process before large
earthquakes and the evolution of clustered seismicity in time and space. On the other hand, the
increasing amount of seismic data available at both local and global scales, together with accurate
assessments of the reliability of the catalogs, offers new opportunities for model verification.
This Special Issue brings together eight peer-reviewed articles. The articles represent a
collection of innovative applications of earthquake forecasting, including the earthquake preparation
process, seismic hazard assessment, statistical analysis of seismicity, synthetic catalogs, and cluster
identification.
It is therefore invaluable to seismologists, statistical seismologists, research students,
government agencies, and academics.
We are especially grateful to all the authors as without them this Special Issue would not have
become a reality. As guest editors, we would like to thank the reviewers for their careful evaluation
and valuable contributions. Special thanks go to Assistant Editors Carlos Sanchez and Jill Fang
for their dedication to this project and their invaluable collaboration in setting up, promoting, and
managing the Special Issue