Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities
Author:
Affiliation:
1. Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
2. Department of Geography, Environment & Society, University of Minnesota, Minneapolis, MN, USA
Funder
Pittsburgh Supercomputing Center
National Science Foundation
Publisher
Informa UK Limited
Subject
Library and Information Sciences,Geography, Planning and Development,Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1732393
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