Spatial crime studies have existed for over a century, but the last 20 years have seen a turn
in focus toward micro-spatial units such as street blocks and street segments. A particular …

It is in the best interest of society, policy makers and law enforcement agencies to
understand the factors that influence crime in South Africa in order to implement effective …

A classification algorithm is a versatile tool, that can serve as a predictor for the future or as
an analytical tool to understand the past. Several obstacles prevent classification from …

Although much has been learned about crime in micro-places, their development and
continuity over time remains largely misunderstood. In 2006, Weisburd, Bushway, Lum and …

Using a 6-year dataset of theft and burglary crime incidents in the Tai Yang Gong (TYG) area
(with relatively high crime rates and diversified crime patterns) under a police station's …

In recent years, conflict and violence have propel the rate of displaced individuals to the
highest levels since the Second World War, reigniting concerns on immigration and crime …

This study examines the micro-spatial and temporal patterns of violent crime in Oslo and
Bergen. The observation that the majority of crime within a city tends to cluster in a small …

Crime is ubiquitous in cities but lacks a statistical characterization that could lead to
uncovering its underlying mechanisms. Cities are, however, in a constant process of …

Crime is not a random event that occurs evenly across time and space; instead, it is
clustered in certain areas known as hot spots (Sherman, Gartin, & Buerger, 1989) …