(Article of periodic en Anglais - 2013)

Document title

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

Authors(s) and Affiliation(s)

GAO P. (1) ; GUO D. (1) ; LIAO K. (2) ; WEBB J. (3) ; CUTTER S.L. (1) ;
(1) Department of Geography, Univ. of South Carolina, Columbia, ETATS-UNIS
(2) Dept. of History, Anthropology, and Philosophy, State Univ., Augusta, ETATS-UNIS
(3) Dept. of Geography and Geosciences, Univ., Bloomsburg, ETATS-UNIS


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


Article of periodic

published at : The Professional geographer / ISSN 0033-0124

Editor : Blackwell, Cambridge, MA - ETATS-UNIS (1946)

Millesime : 2013, vol. 65, no4 [pp. 676-691]

Bibliographic references : 3 p.

Collation : 10 fig., 2 tabl.




Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1080/00330124.2012.724348

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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