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Full-Text Articles in Criminology
Crime In Context: Utilizing Risk Terrain Modeling And Conjunctive Analysis Of Case Configurations To Explore The Dynamics Of Criminogenic Behavior Settings., Joel M. Caplan, Leslie W. Kennedy, Jeremy D. Barnum, Eric L. Piza
Crime In Context: Utilizing Risk Terrain Modeling And Conjunctive Analysis Of Case Configurations To Explore The Dynamics Of Criminogenic Behavior Settings., Joel M. Caplan, Leslie W. Kennedy, Jeremy D. Barnum, Eric L. Piza
Publications and Research
Risk terrain modeling (RTM) is a geospatial crime analysis tool designed to diagnose environmental risk factors for crime and identify the places where their spatial influence is collocated to produce vulnerability for illegal behavior. However, the collocation of certain risk factors’ spatial influences may result in more crimes than the collocation of a different set of risk factors’ spatial influences. Absent from existing RTM outputs and methods is a straightforward method to compare these relative interactions and their effects on crime. However, as a multivariate method for the analysis of discrete categorical data, conjunctive analysis of case configurations (CACC) can …
The Crime Kaleidoscope: A Cross-Jurisdictional Analysis Of Place Features And Crime In Three Urban Environments, Jeremy D. Barnum, Joel M. Caplan, Leslie W. Kennedy, Eric L. Piza
The Crime Kaleidoscope: A Cross-Jurisdictional Analysis Of Place Features And Crime In Three Urban Environments, Jeremy D. Barnum, Joel M. Caplan, Leslie W. Kennedy, Eric L. Piza
Publications and Research
Research identifies various place features (e.g., bars, schools, public transportation stops) that generate or attract crime. What is less clear is how the spatial influence of these place features compares across relatively similar environments, even for the same crime. In this study, risk terrain modeling (RTM), a geospatial crime forecasting and diagnostic tool, is utilized to identify place features that increase the risk of robbery and their particular spatial influence in Chicago, Illinois; Newark, New Jersey; and Kansas City, Missouri. The results show that the risk factors for robbery are similar between environments, but not necessarily identical. Further, some factors …