Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities

Crime often clusters in space and time. Near-repeat patterns improve understanding of crime communicability and their space-time interactions. Near-repeat analysis requires extensive computing resources for the assessment of statistical significance of space-time interactions. A computationally inte...

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