The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners.
As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.
i
The Influence of Interannual Climate Variability on Regional Violent Crime Rates in the United States
-
2018
-
Source: GeoHealth 2(11): 365-369, 2018
[PDF-2.15 MB]
Details:
-
Journal Title:GeoHealth
-
Personal Author:
-
NOAA Program & Office:
-
Description:While the impact of climate on regional geopolitical stability and large‐scale conflict has garnered increased visibility in recent years, the effects of climate variability on interpersonal violent crime have received only limited scientific attention. Though earlier studies have established a modest correlation between temperature and violent crime, the underlying seasonality in both variables was often not controlled for and spatial heterogeneity of the statistical relationships has largely been overlooked. Here a method of spatial aggregation is applied to the United States, enabling a systematic investigation into the observed relationships between large‐scale climate variability and regionally aggregated crime rates. This novel approach allows for differentiation between the effects of two previously proposed mechanisms linking climate and violent crime, the Routine Activities Theory and Temperature‐Aggression Hypothesis. Results indicate large and statistically significant positive correlations between the interannual variability of wintertime air temperature and both violent and property crime rates, with negligible correlations emerging from summertime data. Results strongly support the Routine Activities Theory linking climate and violent crime, with climate variability explaining well over a third of the variance of wintertime violent crime in several broad regions of the United States. Finally, results motivate the development of observationally constrained empirical models and their potential application to seasonal and potentially longer‐term forecasts.
-
Keywords:
-
Source:GeoHealth 2(11): 365-369, 2018
-
DOI:
-
Document Type:
-
Place as Subject:
-
Rights Information:CC BY-NC-ND
-
Compliance:Submitted
-
Main Document Checksum:
-
Download URL:
-
File Type:
