Tagging Banksy: using geographic profiling to investigate a modern art mystery
Zotero / Council for Big Data Group / Top-Level Items 2016-09-16
Type
Journal Article
Author
Michelle V. Hauge
Author
Mark D. Stevenson
Author
D. Kim Rossmo
Author
Steven C. Le Comber
URL
http://dx.doi.org/10.1080/14498596.2016.1138246
Pages
1-6
Publication
Journal of Spatial Science
ISSN
1449-8596
Date
March 3, 2016
Extra
00000
DOI
10.1080/14498596.2016.1138246
Accessed
2016-03-10 03:27:52
Library Catalog
Taylor and Francis+NEJM
Abstract
The pseudonymous artist Banksy is one of the UK’s most successful contemporary artists, but his identity remains a mystery. Here, we use a Dirichlet process mixture (DPM) model of geographic profiling, a mathematical technique developed in criminology and finding increasing application within ecology and epidemiology, to analyse the spatial patterns of Banksy artworks in Bristol and London. The model takes as input the locations of these artworks, and calculates the probability of ‘offender’ residence across the study area. Our analysis highlights areas associated with one prominent candidate (e.g., his home), supporting his identification as Banksy. More broadly, these results support previous suggestions that analysis of minor terrorism-related acts (e.g., graffiti) could be used to help locate terrorist bases before more serious incidents occur, and provides a fascinating example of the application of the model to a complex, real-world problem.
Short Title
Tagging Banksy