1 / 1

Modelling criminal patterns using the NGS

Modelling criminal patterns using the NGS. Nick Malleson, University of Leeds Built an application to predict the effects of new environmental developments or policies (e.g. housing developments or improved transport networks) on crime rates.

lassie
Download Presentation

Modelling criminal patterns using the NGS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Modelling criminal patterns using the NGS • Nick Malleson, University of Leeds • Built an application to predict the effects of new environmental developments or policies (e.g. housing developments or improved transport networks) on crime rates. • Using agent-based modelling where an agent is an independent component of a system that interacts with other agents and its environment. Large systems of agents can be created to mimic real scenarios. • Simulation model written in Java using the Repast Simphony agent-based modelling toolkit. Multiple compute nodes were utilised to run separate models simultaneously. Large amounts of data are created and stored in an NGS Oracle database. • Model was computationally expensive with each run taking days to complete on a desktop PC.  Using the NGS enabled hundreds of identical simulations to run simultaneously on different nodes giving hundreds of results in only a few days. • “Without the use of NGS resources the project would not have had the computational power it required to generate reliable, robust results.”

More Related