Crime has both varying patterns in space, related to features of the environment, economy
and policing, and patterns in time arising from criminal behaviour, such as retaliation …

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 …

This paper fills the gap in rich housing literature by testing the spatio-temporal stability of
real estate submarkets. We start with standard Geographically Weighted Regression (GWR) …

Objective We address four outstanding empirical questions related to the “law of crime
concentration”(Weisburd in Criminology 53: 133–157, 2015):(1) Is the spatial concentration …

Purpose/background A new body of research that focuses on crime harm scores rather than
counts of crime incidents has emerged. Specifically in the context of spatial analysis of …

Objectives To examine the spatial concentration and spatial stability of residential burglary
at micro places in the context of a substantial city-level burglary drop in Antwerp, Belgium …

Objectives Prior research demonstrates that crime is highly concentrated at place and that
these concentrations are stable from year to year, highlighting the importance of place to …

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 …

Andresen's spatial point pattern test (SPPT) compares two spatial point patterns on defined
areal units; it identifies areas where the spatial point patterns diverge and aggregates these …