- Browse/Search the Program
Search
Program Calendar
Browse By Day
Browse By Person
Browse By Room
Browse By Category
Browse By Session Type
Browse By Research Area
- Information Menu
Search Tips
ASC Home
- Navigation and Settings Menu
Personal Schedule
Sign In
- Social Media Menu
Facebook
X (Twitter)
Spatial Criminology: Consequences for Failing to Consider the Spatial Scale when Modeling the Location of Crime
Fri, Nov 15, 2:00 to 3:20pm, Foothill B, 2nd LevelSession Submission Type: Complete Thematic Panel
Abstract/Description
The papers in this session all take seriously the spatial scale at which processes can impact the spatial distribution of crime. The papers explore this issue at various geographic scales. One compares the crime and disorder relationship with longitudinal data aggregated to various micro and meso scales; a second introduces the concept of “neighborhood social value” based on comparisons across neighborhoods within a city as well as across multiple macro contexts, and studies the relationship with crime; a third uses spatial social network techniques to assess how potential job networks impact parolee joblessness; and the final paper proposes a new imputation technique for addressing micro or meso-level processes when estimating macro-level models of crime.
Sub Unit
Division of Special Interest
Individual Presentations
How Do Problem Properties, Hotspots, and High-Crime Neighborhoods Evolve? Examining Trajectories of Crime and Disorder at Multiple Geographic Scales - Daniel O’Brien, Northeastern University; Alexandra Ciomek, Harvard University; Robert J. Sampson, Harvard University
'Placing' Neighborhoods and Crime: A Political Economy Approach to Understanding Neighborhood Crime across City Contexts - Seth A. Williams, University of California, Irvine
The network of neighborhoods and spatial scale: Implications for parolee joblessness - Adam Boessen, University of Missouri - St. Louis; John Hipp, University of California, Irvine
Accounting for Micro- or Meso-level Effects When Building Models using City-level Crime Data: Introducing an Imputation Technique - John Hipp, University of California, Irvine; Seth A. Williams, University of California, Irvine