Rates of street crime have dropped substantially over the past several decades, but
important nuances of this decline are underappreciated and the reasons for it remain …

This review takes stock of recent advances, as well as enduring and emerging challenges,
in the area of spatial criminology. Although the notions of place and space are …

Objectives 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 …

The field of environmental criminology is a staple theoretical framework in contemporary
criminological theory. With this book, Martin Andresen presents the first comprehensive and …

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 …

Understanding how offenders choose a crime location is a classic criminological topic.
However, previous research on offenders' crime location choice did not consider the impacts …

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 …

The dense distribution of crime in a small number of micro places led to the formulation of a
law of crime concentration applicable across cities and stable over time. This law has rarely …

Objectives We argue that assessing the level of crime concentration across cities has four
challenges:(1) how much variability should we expect to observe;(2) whether concentration …

Purpose The aim of this study is to examine small area variation in crime trajectories during
the COVID-19 pandemic in England and Wales. While we know how police-recorded crime …