≪Organizer Abstract≫
In the practice of Japanese police, prediction of subsequent crime locations are being conducted to arrest offenders by secretly surveillance and/or to patrol for crime prevention. As part of evidence-based policing, methods to predict subsequent crime locations for more effective patrolling are being used in many law enforcement departments. However, there are only a few publications that currently examine the applicability of crime prediction algorithms for serial crime investigations. This session outlines current models used to predict crime locations for serial offenses by examining existing presentations of subsequent crime location prediction methods used in Japanese geographical profiling. In addition, a series of empirical analyses that support these current approaches will be reviewed, and existing models of crime prediction using massive datasets will be examined. In the latter part of the session, prospects for and challenges faced in applying the existing models to geographical profiling will be discussed.
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