This brief examines 36,263 homicides in Chicago over a 53-year study period, 1965 through 2017, at micro place grid cells of 150 by 150 meters. This study shows not only long-term historical patterns of homicides in Chicago, but also places that historical context of homicide in reference to the dramatic increases in homicides in 2016-2017. It uses several different inequality metrics, as well as kernel density maps to demonstrate that homicides were more clustered in the 1960’s compared to later periods. Using zero inflated group-based trajectory models, it demonstrates the long-term temporal stability of homicides at micro places. This brief will be of interest to researchers in policing, homicide, and research methods in criminology.
Author(s): Andrew P. Wheeler, Christopher R. Herrmann, Richard L. Block
Series: SpringerBriefs in Criminology
Publisher: Springer
Year: 2020
Language: English
Pages: 75
City: Cham
Summary
Contents
About the Authors
Chapter 1: Introduction
References
Chapter 2: Literature Review
Chicago School and Crime
Micro Places and Crime Trajectories over Time
Crime Pattern Theory at Micro Places
Research on Crime Clustering
Measuring Clustering When Crime Is Rare
Is the Clustering Random?
Decomposing Clustering to the Appropriate Spatial Resolution
Identifying Specific Spatial Clusters
References
Chapter 3: Understanding the Data
References
Chapter 4: Research Questions and Methods
References
Chapter 5: Analysis and Results
Gini Crime Clustering
Theil Decomposition of Within vs Between Neighborhood Clustering
Transition Probabilities to Examine Homicide Patterns over Time
Group-Based Trajectory Analysis of Homicides over Time
Hot Spot Clusters via Kernel Density and Highest Density Regions
Space-Time Clusters via SatScan
References
Chapter 6: Conclusion
References
References
Index