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Identifying spatial clustering phenomena in forest-fire sequences

Author

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  • Tuia, Devis
  • Lasaponara, Rosa
  • Telesca, Luciano
  • Kanevski, Mikail

Abstract

Spatial clustering in fire data recorded from 1997 to 2003 in an area of central Italy has been deeply investigated using indices of different type: (i) a topological index , the Voronoı¨ polygon area; (ii) a statistical index, the Morishita index; (iii) a dimensional index, the fractal dimension. Our findings reveal the presence of clustering in the spatial distribution of the fire set analysed. The knowledge of such property can be very useful to estimate overdensity of fires in those areas, where particular prevention and allocation of resources should be assessed.

Suggested Citation

  • Tuia, Devis & Lasaponara, Rosa & Telesca, Luciano & Kanevski, Mikail, 2007. "Identifying spatial clustering phenomena in forest-fire sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 596-600.
    • Handle: RePEc:eee:phsmap:v:376:y:2007:i:c:p:596-600
    DOI: 10.1016/j.physa.2006.10.102
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    Cited by:

    1. Hatice Oncel Cekim & Coşkun Okan Güney & Özdemir Şentürk & Gamze Özel & Kürşad Özkan, 2021. "A novel approach for predicting burned forest area," 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. 105(2), pages 2187-2201, January.
    2. de Benicio, Rosilda B. & Stošić, Tatijana & de Figueirêdo, P.H. & Stošić, Borko D., 2013. "Multifractal behavior of wild-land and forest fire time series in Brazil," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6367-6374.

    More about this item

    Keywords

    Fires; Spatial clustering;

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