Paper examining local varition in the COVID-19 lockdown crime drop.
Paper using simulated data to investigate bias in police recorded crime at multiple spatial scales.
Paper examining crime in England and Wales during the first six months of the pandemic.
Paper detailing a substantive demonstration of ak-medoids clustering on simulated and real police-recorded crime data.
Paper and documentation for an R package to implement anchored k-medoids, a method for clustering longitudinal data.
Forthcoming book chapter on using open data to study crime and place including a practical exercise in R.
Article for Policing Insight examining police-recorded crime in England and Wales between March and August.
Paper exploring concentration and variance in offender residences across multiple (nested) spatial scales.
Stats bulletin reporting end of month counts for crime and anti-social behaviour in Greater London before and after lockdown.
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.