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
Due to the complexity of the generator process of seismic events, we study under several aspects th...
Experience from the destructive earthquakes worldwide, which occurred over the last decade, motivate...
Many objects in space can best be modeled statistically by using point processes. Examples are fires...
Earthquakes are one of the most destructive natural disasters and the spatial distribution of their ...
Nowadays in the seismic and geological fields, large and complex data sets are available. This infor...
Abstract: Spatial statistics is concerned with statistical methods that explicitly analyses spatial ...
This paper proposes the use of Integrated Nested Laplace Approximation (Rue et al., 2009) to describ...
The goal of this paper is to derive a hazard map for earthquake occurrences in Pakistan from a catal...
In this paper, a version of hybrid of Gibbs point process models is proposed as method to characte...
In this paper, a version of hybrid of Gibbs point process models is proposed as method to characteri...
© The Author(s) 2011. This article is published with open access at Springerlink.com Abstract The go...
Earthquakes can be seen as realization of a spatial, temporal, or spatiotemporal point process. Give...
In earthquake-prone areas, site seismic response due to lithostratigraphic sequence plays a key role...
The following steps are suggested for smoothing the occurrence patterns in a clustered space–time p...
The aim of this study is to apply spatial pattern analysis techniques to a seismic data catalog of e...
Due to the complexity of the generator process of seismic events, we study under several aspects th...
Experience from the destructive earthquakes worldwide, which occurred over the last decade, motivate...
Many objects in space can best be modeled statistically by using point processes. Examples are fires...
Earthquakes are one of the most destructive natural disasters and the spatial distribution of their ...
Nowadays in the seismic and geological fields, large and complex data sets are available. This infor...
Abstract: Spatial statistics is concerned with statistical methods that explicitly analyses spatial ...
This paper proposes the use of Integrated Nested Laplace Approximation (Rue et al., 2009) to describ...
The goal of this paper is to derive a hazard map for earthquake occurrences in Pakistan from a catal...
In this paper, a version of hybrid of Gibbs point process models is proposed as method to characte...
In this paper, a version of hybrid of Gibbs point process models is proposed as method to characteri...
© The Author(s) 2011. This article is published with open access at Springerlink.com Abstract The go...
Earthquakes can be seen as realization of a spatial, temporal, or spatiotemporal point process. Give...
In earthquake-prone areas, site seismic response due to lithostratigraphic sequence plays a key role...
The following steps are suggested for smoothing the occurrence patterns in a clustered space–time p...
The aim of this study is to apply spatial pattern analysis techniques to a seismic data catalog of e...
Due to the complexity of the generator process of seismic events, we study under several aspects th...
Experience from the destructive earthquakes worldwide, which occurred over the last decade, motivate...
Many objects in space can best be modeled statistically by using point processes. Examples are fires...