Early detection of terrorism outbreaks using prospective space–time scan statistics

Auteur(s) et Affiliation(s)

GAO, P.

Department of Geography, Univ. of South Carolina, Columbia, Etats-Unis

GUO, D.

Department of Geography, Univ. of South Carolina, Columbia, Etats-Unis

LIAO, K.

Dept. of History, Anthropology, and Philosophy, State Univ., Augusta, Etats-Unis

WEBB, J.

Dept. of Geography and Geosciences, Univ., Bloomsburg, Etats-Unis

CUTTER, S.L.

Department of Geography, Univ. of South Carolina, Columbia, Etats-Unis

Description :
This research presents an alternative approach for modeling terrorism activity, one that monitors and detects space–time clusters of terrorist incidents using prospective space–time scan statistics. Such clusters provide indicators of potential outbreaks of terrorist incidents. The AA. analyze the terrorist incidents in the Consortium for the Study of Terrorism and Responses to Terrorism's Global Terrorism Database from 1998 to 2004. Clusters of terrorist events are detected at each time stamp and life trajectories of these clusters are constructed based on their space–time relationship to each other. Through the life trajectories and trends of clusters, we demonstrate how space–time scan statistics detect terrorism outbreaks at an early stage.

Type de document :
Article de périodique

Source :
The Professional geographer, issn : 0033-0124, 2013, vol. 65, n°. 4, p. 676-691, nombre de pages : 16, Références bibliographiques : 3 p.

Date :
2013

Editeur :
Pays édition : Etats-Unis, Cambridge, MA, Blackwell

Langue :
Anglais