The concentration of police resources in stable crime hotspots has proven effective in reducing crime, but the extent to which police can disrupt dynamically changing crime hotspots is unknown. Police must be able to anticipate the future location of dynamic hotspots to disrupt them. Here we report results of two randomized controlled trials of near real-time epidemic-type aftershock sequence (...

Eck et. al. in their article in [1] has proposed an approach to use K-means [2] clustering algorithm to cluster crime hot spots. Oliver et. al. in [3, 4] has argued that in places with low crime density KMR is a better alternative for law enforcement agencies than [1]. In this research we are interested in finding out the following questions: 1. At what crime hotspot density Oliver et. al.'s [4...

The relationship between crime and urban environment has always been the focus of crime geography. Like diseases which can transmit and diffuse, crimes may also spread during a certain period of time and to a certain area by the near-repeat effect. Traditional near-repeat analysis focuses on the spatial spread of crimes to adjacent areas, with little regard to the displacement effect. Crime dis...

This study looks at perceptions of safety and danger regarding crime in Medellín, Colombia. I used two different datasets to look at this issue in both the specific situations that incite fear of crime and in the broader context of perceived safety and danger across the city as a whole. The first dataset comes from 42 interviews that I conducted with university students in May of 2009. The inte...

The traditional and age-old system of intelligence and criminal record maintenance has failed to live up to the requirements of the existing crime scenario. Manual processes neither provide accurate, reliable and comprehensive data round the clock nor does it help in trend prediction and decision support. It also results in lower productivity and ineffective utilisation of manpower. The solutio...

Crime can be analyzed and mapped in a number of different ways. This article compares maps of violent crime across the cities of British Columbia utilizing three crime measures: counts, rates and crime location quotients (LQCs). The LQC, adapted from regional planning, provides views of crime patterns not obtained with the two more traditional measures of crime. When used in conjunction with cr...

Lot of research is projected to map the criminal with that of crime and it is observed that there is still a huge increase in the crime rate due to the gap between the optimal usage of technologies and investigation. This has given scope for the development of new methodologies in the area of crime investigation using the techniques based on data mining, image processing, forensic, and social m...

In the Law Enforcement context, more and more data about crime occurrences are becoming available to the general public. For an effective use of open data, it is desirable that the different sources of information follow a pattern, which allows reliable comparisons. In addition, it is expected that the task of creating a correspondence between the pattern and the internal representations of eac...

The Sustainable Development Goals (SDGs) are a blueprint for improving the human life quality. Goal 16 (G16) is related to security, and it in line with Universal Declaration of Human Rights Preamble 1945 Constitution. To support implementation G16 achievement, Indonesian National Police (Polri) has made serious efforts provide sense safety community minimize crime rates. One that could be map ...

Until quite recently, the use of Geographic Information Systems (GIS) for the purpose of mapping crimes in the United States was limited to a small group of geographers with an esoteric knowledge of the mechanics of map digitizing and mainframe computer technology. In recent years, however, the marked reduction in the price of personal computer hardware, along with the availability of comparati...