Disasters and other climate-related threats pose a significant threat to communities and human livelihood worldwide. These disaster events are slowly becoming more extreme and their societal repercussions more egregious. As exposure to said events increases with climate change, we believe predictions considering time and space will be necessary for appropriate and effective allocation of law enforcement resources. Statistical investigations into crime rates and how they may be affected by natural disasters have yielded inconsistent or contradictory findings. Thus, the objective of this study is to investigate the spatio-temporal changes in crime rates following a variety of natural hazards of varying magnitude in the United States.
- Dr. Petar Jevtic (Principal Investigator, School of Mathematical and Statistical Sciences and CEMHS)
- Dr. Melanie Gall (Co-Principal Investigator, School of Public Affairs and CEMHS)
- Esther Boyle (Ph.D. candidate, School of Mathematical and Statistical Sciences)
- Cody Delos Santos (Ph.D. student, School of Mathematical and Statistical Sciences)