Earthquakes are one of the most destructive natural disasters and the spatial distribution of their epicentres generally shows diverse interaction structures at different spatial scales. In this paper, we use a multi-scale point pattern model to describe the main seismicity in the Hellenic area over the last 10 years. We analyze the interaction between events and the relationship with geological information of the study area, using hybrid models as proposed by Baddeley et al. (2013). In our analysis, we find two competing suitable hybrid models, one with a full parametric structure and the other one based on nonparametric kernel estimators for the spatial inhomogeneity.

Siino M, Adelfio G, Mateu J, Chiodi M, D’Alessandro A (2017). Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 31(7), 1633-1648 [10.1007/s00477-016-1294-7].

Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity

Siino, Marianna
;
ADELFIO, Giada;CHIODI, Marcello;D'Alessandro, Antonino
2017-01-01

Abstract

Earthquakes are one of the most destructive natural disasters and the spatial distribution of their epicentres generally shows diverse interaction structures at different spatial scales. In this paper, we use a multi-scale point pattern model to describe the main seismicity in the Hellenic area over the last 10 years. We analyze the interaction between events and the relationship with geological information of the study area, using hybrid models as proposed by Baddeley et al. (2013). In our analysis, we find two competing suitable hybrid models, one with a full parametric structure and the other one based on nonparametric kernel estimators for the spatial inhomogeneity.
2017
Siino M, Adelfio G, Mateu J, Chiodi M, D’Alessandro A (2017). Spatial pattern analysis using hybrid models: an application to the Hellenic seismicity. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 31(7), 1633-1648 [10.1007/s00477-016-1294-7].
File in questo prodotto:
File Dimensione Formato  
SerraSiino pubblicato.pdf

Solo gestori archvio

Dimensione 3.8 MB
Formato Adobe PDF
3.8 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Siino2017_Article_SpatialPatternAnalysisUsingHyb.pdf

Solo gestori archvio

Tipologia: Versione Editoriale
Dimensione 3.73 MB
Formato Adobe PDF
3.73 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/181792
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 19
  • ???jsp.display-item.citation.isi??? 17
social impact