Spatiotemporal analysis of forensic case data: a visualisation approach

Détails

ID Serval
serval:BIB_9CDB8214C3F2
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Spatiotemporal analysis of forensic case data: a visualisation approach
Périodique
Bulletin de la Société géographique de Liège
Auteur⸱e⸱s
Rossy Q.
ISSN
0770-7576
Statut éditorial
Publié
Date de publication
2013
Peer-reviewed
Oui
Volume
60
Pages
31-41
Langue
anglais
Résumé
Whether for investigative or intelligence aims, crime analysts often face up the necessity to analyse the spatiotemporal distribution of crimes or traces left by suspects. This article presents a visualisation methodology supporting recurrent practical analytical tasks such as the detection of crime series or the analysis of traces left by digital devices like mobile phone or GPS devices. The proposed approach has led to the development of a dedicated tool that has proven its effectiveness in real inquiries and intelligence practices. It supports a more fluent visual analysis of the collected data and may provide critical clues to support police operations as exemplified by the presented case studies.
Mots-clé
crime analysis, forensic intelligence, spatiotemporal visualisation, visual data analysis
Création de la notice
10/09/2013 15:41
Dernière modification de la notice
20/08/2019 16:03
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