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...

Full description

Saved in:

Bibliographic Details
Published in:	International journal of geographical information science : IJGIS Vol. 34; no. 9; pp. 1683 - 1707
Main Authors:	Ajayakumar, Jayakrishnan, Shook, Eric
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 01.09.2020 Taylor & Francis LLC
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!