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<div><b>Using Geographic Profiling to Investigate a Modern Art
Mystery</b></div>
<div><br></div>
<div>The pseudonymous artist Banksy is one of the UK's most
successful<br>
contemporary artists, but his identity remains a mystery. Here, we
use<br>
a Dirichlet process mixture (DPM) model of geographic profiling, a<br>
mathematical technique developed in criminology and finding
increasing<br>
application within ecology and epidemiology, to analyse the
spatial<br>
patterns of Banksy artworks in Bristol and London. The model takes
as<br>
input the locations of these artworks, and calculates the
probability<br>
of 'offender' residence across the study area. Our analysis
highlights<br>
areas associated with one prominent candidate (e.g., his home),<br>
supporting his identification as Banksy. More broadly, these
results<br>
support previous suggestions that analysis of minor
terrorism-related<br>
acts (e.g., graffiti) could be used to help locate terrorist bases<br>
before more serious incidents occur, and provides a fascinating<br>
example of the application of the model to a complex, real-world
problem.<br>
<br>
<br>
Hauge, Michelle V., Mark D. Stevenson, D. Kim Rossmo, and Steven C.
Le</div>
<div>Comber. 2016. Journal of Spatial Science, March,
1-6.</div>
<div>doi:10.1080/14498596.2016.1138246.</div>
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