Spatial interaction of crime incidents in Japan

CrimeStat: A Spatial Statistical Program for the Analysis of Crime Incidents CrimeStat CrimeStat: A Spatial Statistical Program for the Analysis of Crime Incidents CrimeStat: A Spatial Statistical Program for the Analysis of Crime Incidents

CrimeStat is a spatial statistics and visualization program that interfaces with desktop GIS packages. It is a standalone Windows program for the analysis of crime incident locations and can interface with most desktop GIS programs. Its aim is to provide statistical tools to help law enforcement agencies and criminal justice researchers in their crime mapping efforts. The program has many stati...

Estimating the Spatial Distribution of Crime Events around a Football Stadium from Georeferenced Tweets

Crowd-based events, such as football matches, are considered generators of crime. Criminological research on the influence of football matches has consistently uncovered differences in spatial crime patterns, particularly in the areas around stadia. At the same time, social media data mining research on football matches shows a high volume of data created during football events. This study seek...

Crime Prevention in Urban Design: towards Space Syntax Approach as a Quantitative Analytic Modeling of Qualitative Issue of Security (Based on Spatial Configuration)

Testing Ecological Theories of Offender Spatial Decision Making Using a Discrete Choice Model

Research demonstrates that crime is spatially concentrated. However, most research relies on information about where crimes occur, without reference to where offenders reside. This study examines how the characteristics of neighborhoods and their proximity to offender home locations affect offender spatial decision making. Using a discrete choice model and data for detected incidents of theft f...

Visualization of Crime Trajectories with Self-Organizing Maps: A Case Study on Evaluating the Impact of Hurricanes on Spatio- Temporal Crime Hotspots

The exploration of the spatial relationships between crime incidents, the socioeconomic characteristics of neighborhoods, as well as physical and structural compositions of the urban landscape is an ongoing research issue in Geographic Information (GI) Science. Spatial data mining tools improve the ability to gain knowledge from geographic data and help to understand spatio-temporal processes t...