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Morisita-based space-clustering analysis of Swiss seismicity

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  • Telesca, Luciano
  • Golay, Jean
  • Kanevski, Mikhail

Abstract

The m-Morisita index analysis was applied to the Swiss seismicity to investigate its space clustering properties. The analysis of the whole and aftershock depleted catalogs has revealed that the whole catalog is more spatially clusterized than the depleted one and that the clustering increases with the increase of the threshold magnitude. Furthermore, the multifractality degree of both catalogs is approximately the same. Our findings evidence the role played by the aftershocks in contributing to the increase of the spatial clustering of the earthquakes and that the spatial heterogeneity of seismicity is controlled by the main faults that produce the most independent events.

Suggested Citation

  • Telesca, Luciano & Golay, Jean & Kanevski, Mikhail, 2015. "Morisita-based space-clustering analysis of Swiss seismicity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 40-47.
    • Handle: RePEc:eee:phsmap:v:419:y:2015:i:c:p:40-47
    DOI: 10.1016/j.physa.2014.10.004
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    References listed on IDEAS

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    1. K. R. Felzer & E. E. Brodsky, 2006. "Decay of aftershock density with distance indicates triggering by dynamic stress," Nature, Nature, vol. 441(7094), pages 735-738, June.
    2. Telesca, Luciano & Lovallo, Michele & Lapenna, Vincenzo & Macchiato, Maria, 2007. "Long-range correlations in two-dimensional spatio-temporal seismic fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 279-284.
    3. P. Chingtham & S. Chopra & I. Baskoutas & B. Bansal, 2014. "An assessment of seismicity parameters in northwest Himalaya and adjoining regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1599-1616, April.
    4. Golay, Jean & Kanevski, Mikhail & Vega Orozco, Carmen D. & Leuenberger, Michael, 2014. "The multipoint Morisita index for the analysis of spatial patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 191-202.
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    Cited by:

    1. Kanevski, Mikhail & Pereira, Mário G., 2017. "Local fractality: The case of forest fires in Portugal," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 400-410.

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