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Wouter Steenbeek

Criminology | Geography | Sociology

Netherlands Institute for the Study of Crime and Law Enforcement

About

I am a researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), a research institute of the Netherlands Organisation for Scientific Research (NWO).

Most of my work is on the ‘geography of crime’. I describe spatial and temporal variations in crime, and explain these variations as a function of the characteristics of places and of how potential offenders, potential victims, informal and formal guardians use their spatial environment over daily and weekly time cycles.

I’m always up for collaboration. Send me an email if you’re interested!

Are you interested in situational and spatial criminology? Consider joining the ‘Space, Place, and Crime’ working group of the European Society of Criminology.

Interests

  • Criminology
  • Spatio-temporal crime patterns
  • Machine Learning
  • Quantitative research methods
  • R

Education

  • PhD in Sociology, 2011

    Department of Sociology/Interuniversity Centre for Social Science Theory and Methodology (ICS), Utrecht University

  • MSc in Business Informatics, 2004

    Utrecht University

  • Propedeuse in Information Science, 2001

    Utrecht University

Software

When I think it may be helpful to others, I publish my code as a software package. I have published the following R packages:

NearRepeat

Uses the (Monte Carlo permutation based) Knox test for space-time clustering to quantify the spatio-temporal association between events.

sppt: Spatial Point Pattern Test

Implements several area-based tests that measure the degree of similarity at the local level between two spatial point patterns.

lorenzgini

Calculates the standard Gini coefficient as well as the generalized coefficient, and plots Lorenz curves. The Lorenz plots show the line of maximal equality given the data.

Recent & Upcoming Talks

Testing for similarity in area-based spatial patterns: Andresen's test, critique, and improvements

Keynote presentation on the analysis of spatial point patterns

Machine learning: What's it all about? A comparison to conjunctive analysis of case configurations as a case in point

Machine Learning (ML) methods (and Predictive Analytics, Artificial Learning, and so on …) are very popular but not often used …

Testing for similarity in area-based spatial patterns: how the pattern of pedestrian stops by the NYPD differs from crime (2006-2016)

Andresen’s spatial point pattern test (SPPT) can be used to compare two spatial point patterns on defined areal units: it identifies in …

Skills

Statistics

Spatial analysis

R

Projects

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Risky Business

Do businesses and facilities generate or prevent crime?

Time for a Crime

Why do offenders commit crimes where and when they do?

Cybercriminal decision-making

Real-world experiments with cybercrime offenders

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