The Application of M-Function Analysis to the Geographical Distribution of Earthquake Sequence

  • Eugenia Nissi
  • Annalina Sarra
  • Sergio Palermi
  • Gaetano De Luca
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Seismicity is a complex phenomenon and its statistical investigation is mainly concerned with the developing of computational models of earthquake processes. However, a substantial number of studies have been performed on the distribution of earthquakes in space and time in order to better understand the earthquake generation process and improve its prediction. The objective of the present paper, is to explore the effectiveness of a variant of Ripley’s K-function, the M-function, as a new means of quantifying the clustering of earthquakes. In particular we test how the positions of epicentres are clustered in space with respect to their attributes values, i.e. the magnitude of the earthquakes. The strength of interaction between events is discussed and results for L’Aquila earthquake sequence are analysed.

Keywords

Seismic Data Point Process Strong Earthquake Earthquake Catalogue Point Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Eugenia Nissi
    • 1
  • Annalina Sarra
    • 1
  • Sergio Palermi
    • 2
  • Gaetano De Luca
    • 3
  1. 1.Department of Economics, “Gabriele d’Annunzio”University of Chieti-PescaraPescaraItaly
  2. 2.ARTA (Agenzia Regionale per la Tutela dell’Ambiente dell’Abruzzo)PescaraItaly
  3. 3.Istituto Nazionale di Geofisica e Vulcanologia-Centro Nazionale TerremotiRomeItaly

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