crime

Small area variation in crime effects of COVID-19 policies in England and Wales

Paper examining local varition in the COVID-19 lockdown crime drop.

The accuracy of crime statistics. Assessing the impact of police data bias on geographic crime analysis

Paper using simulated data to investigate bias in police recorded crime at multiple spatial scales.

Six Months In. Pandemic Crime Trends in England and Wales

Paper examining crime in England and Wales during the first six months of the pandemic.

Anchored k-medoids. A novel adaptation of k-medoids further refined to measure long-term instability in the exposure to crime

Paper detailing a substantive demonstration of ak-medoids clustering on simulated and real police-recorded crime data.

Akmedoids R package for generating directionally-homogeneous clusters of longitudinal data sets

Paper and documentation for an R package to implement anchored k-medoids, a method for clustering longitudinal data.

Open Data for Crime and Place Research. A Practical Guide in R

Forthcoming book chapter on using open data to study crime and place including a practical exercise in R.

Six months in. Pandemic crime trends in England and Wales to August 2020

Article for Policing Insight examining police-recorded crime in England and Wales between March and August.

An examination of variability in offender residences across different spatial scales. A case study in Birmingham

Paper exploring concentration and variance in offender residences across multiple (nested) spatial scales.

Crime and Anti-social Behaviour in Greater London

Stats bulletin reporting end of month counts for crime and anti-social behaviour in Greater London before and after lockdown.

Update: lockdown crime trends

Over the past few weeks I have spent a bit of time exploring police recorded crime trends before and after the UK-wide lockdown. There has been talk of lockdowns representing the largest criminological experiment in history.