For the description of the seismicity of an area, the comparison between local features of background and induced events could be a new perspective of research. In spatio-temporal point process, local second-order statistics provide information on the relationships of each event and its nearby events. In this paper, we use a test based on local indicators of spatio-temporal association (LISTA functions) for identifying different local structures comparing the two previous sets of events. We present a simulation study on the test and show the main results of the application on Greece earthquake data.
Siino, M., Rodriguez-Cortés, F., Mateu, J., Adelfio, G. (2017). Detection of spatio-temporal local structure on seismic data. In Proceedings of the Conference of the Italian Statistical Society - SIS 2017 "Statistics and Data Science: new challenges, new generations", Firenze 28-30 June 2017, eds. Petrucci A. and Verde R., Firenze University Press (pp. 935-942). Petrucci A. and Verde R., Firenze University Press.
Detection of spatio-temporal local structure on seismic data
Siino, Marianna;ADELFIO, Giada
2017-01-01
Abstract
For the description of the seismicity of an area, the comparison between local features of background and induced events could be a new perspective of research. In spatio-temporal point process, local second-order statistics provide information on the relationships of each event and its nearby events. In this paper, we use a test based on local indicators of spatio-temporal association (LISTA functions) for identifying different local structures comparing the two previous sets of events. We present a simulation study on the test and show the main results of the application on Greece earthquake data.File | Dimensione | Formato | |
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