Space-Time Clustering and Prospective Hot-Spotting of Canadian Crime

Emeno, Karla

doi:10.22215/etd/2014-10133

Cited by 1 publication

(1 citation statement)

References 50 publications

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“…In other words, it would be more meaningful to identify the concentration of multiple incidents than each two incidents. This study suggests integrating the merits of near-repeats (space-time interaction) and hot spot (Emeno, 2014). Nevertheless, when the scale of shooting events goes from three to more, the computation challenge emerges.…”

Section: Research Contextmentioning

confidence: 99%

Scalable near-repeat and event chain calculations over heterogeneous computer architecture and systems

Shi

Chen

2017

Big Earth Data

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As a case of space-time interaction, near-repeat calculation indicates that when an event takes place at a certain location, its immediate geographical surroundings would face an increased risk of experiencing subsequent events within a fairly short period of time. This paper presents an exploratory study that extends the investigation of the near-repeat phenomena to a series of space-time interaction, namely event chain calculation. Existing near-repeat tools can only deal with a limited amount of data due to computation constraints, let alone the event chain analysis. By deploying the modern accelerator technology and hybrid computer systems, this study demonstrates that large-scale near-repeat calculation or event chain analysis can be partially resolved through high-performance computing solutions to advance such a challenging statistical problem in both spatial analysis and crime geography.

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Section: Research Contextmentioning

confidence: 99%