Spatiotemporal Association between Temperature and Assaults: A Generalized Linear Mixed-Model Approach



Journal Title

Journal ISSN

Volume Title


Sage Publications Inc.


We aim to analyze the association between temperature and assault at highly disaggregated spatial units with great temporal resolution to investigate their spatiotemporal dynamics. We applied generalized linear mixed models (GLMMs) to assault and weather data from 2015, aggregated weekly at 424 subdistricts in Seoul, South Korea, controlling for various socioeconomic and environmental variables. Analyses revealed a positive and significant linear association between temperature and assaults and a few small but significant interaction effects that relate to an increase in assaults. A more enhanced understanding of the spatiotemporal relationship between temperature and crime would provide useful implications for targeted crime prevention and resource allocations. ©2019 The Author(s).


Due to copyright restrictions full text pdf access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article).
This article is freely available in EPub format from the publisher. Go to and select "Open EPUB"


Crime, Korea (South), Weather, Assault and battery, Heat--Psychological aspects


©2019 The Authors