Identifying spatial clustering phenomena in forest-fire sequences (Articolo in rivista)

Type
Label
  • Identifying spatial clustering phenomena in forest-fire sequences (Articolo in rivista) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.physa.2006.10.102 (literal)
Alternative label
  • Tuia D [1], Lasaponara R [2], Telesca L [2]and Kanevski M [1] (2007)
    Identifying spatial clustering phenomena in forest-fire sequences
    in Physica. A (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Tuia D [1], Lasaponara R [2], Telesca L [2]and Kanevski M [1] (literal)
Pagina inizio
  • 596 (literal)
Pagina fine
  • 600 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 376 (literal)
Rivista
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • [1 ] Univ Lausanne, Geomat & Risk Anal Inst, CH-1015 Lausanne, Switzerland [ 2 ] Inst Methodol Environm Anal, I-85050 Tito, PZ, Italy (literal)
Titolo
  • Identifying spatial clustering phenomena in forest-fire sequences (literal)
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 Voronoi 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. (literal)
Prodotto di
Autore CNR
Insieme di parole chiave

Incoming links:


Autore CNR di
Prodotto
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
Insieme di parole chiave di
data.CNR.it