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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Vydáno v:	International journal of geographical information science : IJGIS Ročník 34; číslo 9; s. 1683 - 1707
Hlavní autoři:	Ajayakumar, Jayakrishnan, Shook, Eric
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Abingdon Taylor & Francis 01.09.2020 Taylor & Francis LLC
Témata:	Algorithms Computer programs Computer simulation Crime crime analysis Data analysis Datasets Monte Carlo simulation near-repeat patterns Optimization Optimization techniques parallel computing Parallel processing Software Software development Spatio-temporal Statistical significance Statistics
ISSN:	1365-8816, 1362-3087, 1365-8824
On-line přístup:	Získat plný text
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