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When Do Offenders Commit Crime? An Analysis of Temporal Consistency in Individual Offending Patterns

Objectives: Building on Hägerstrand’s time geography, we expect temporal consistency in individual offending behavior. We hypothesize that repeat offenders commit offenses at similar times of day and week. In addition, we expect stronger temporal …

Mapping the Risk Terrain for Crime Using Machine Learning

We illustrate how a machine learning algorithm, Random Forests, can provide accurate long-term predictions of crime at micro places relative to other popular techniques. We also show how recent advances in model summaries can help to open the ‘black …

Minimum geocoding match rates: an international study of the impact of data and areal unit sizes

The analysis of geographically referenced data, specifically point data, is predicated on the accurate geocoding of those data. Geocoding refers to the process in which geographically referenced data (addresses, for example) are placed on a map. This …

Stolen account credentials: an empirical comparison of online dissemination on different platforms

Account hijacking, i.e. illegitimately accessing someone else’s personal online account, is on the rise and affects not only financial accounts, but the full spectrum of online accounts. To gain more insight in the illicit act of online dissemination …

Identifying the appropriate spatial resolution for the analysis of crime patterns

Background: A key issue in the analysis of many spatial processes is the choice of an appropriate scale for the analysis. Smaller geographical units are generally preferable for the study of human phenomena because they are less likely to cause …

The (In)Stability of Residential Burglary Patterns on Street Segments: The Case of Antwerp, Belgium 2005–2016

Objectives: To examine the spatial concentration and spatial stability of residential burglary at micro places in the context of a substantial city-level burglary drop in Antwerp, Belgium. Methods: 51,337 police recorded home burglary incidents for …

Measuring Disorder: Observer Bias in Systematic Social Observations at Streets and Neighborhoods

Objectives: The present study focuses on Systematic Social Observation (SSO) as a method to investigate physical and social disorder at different units of analysis. The study contributes to the aggregation bias debate and to the ‘social science of …

Testing for similarity in area-based spatial patterns: Alternative methods to Andresen's spatial point pattern test

Andresen's spatial point pattern test (SPPT) compares two spatial point patterns on defined areal units; it identifies areas where the spatial point patterns diverge and aggregates these local (dis)similarities to one global measure. We discuss the …

More Places than Crimes: Implications for Evaluating the Law of Crime Concentration at Place

Objectives: The crime and place literature lacks a standard methodology for measuring and reporting crime concentration. We suggest that crime concentration be reported with the Lorenz curve and summarized with the Gini coefficient, and we propose …

Residential burglary target selection: An analysis at the property-level using Google Street View

Objectives: To quantitatively test findings from offender-based literature—primarily consisting of small-sample interviews or experimental scenarios with convicted burglars—to investigate the extent to which the physical attributes of residential …