Scan statistics analysis of forest fire clusters

Devis Tuia, Fréderic Ratle, Rosa Lasaponara, Luciano Telesca*, Mikhail Kanevski

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

35 Citations (Scopus)

Abstract

Spatio-temporal clusters in 1997-2003 fire sequences of Tuscany region (central Italy) have been identified and analysed by using the scan statistic, a method which was devised to evidence clusters in epidemiology. Results showed that the method is reliable to find clusters of events and to evaluate their significance via Monte Carlo replication. The evaluation of the presence of spatial and temporal patterns in fire occurrence and their significance could have a great impact in forthcoming studies on fire occurrences prediction.

Original languageEnglish
Pages (from-to)1689-1694
Number of pages6
JournalCommunications in Nonlinear Science and Numerical Simulation
Volume13
Issue number8
DOIs
Publication statusPublished - Oct 2008
Externally publishedYes

Keywords

  • Fires
  • Scan statistics

Fingerprint Dive into the research topics of 'Scan statistics analysis of forest fire clusters'. Together they form a unique fingerprint.

Cite this