Crime and violation are the threat to justice and meant to be controlled. Accurate crime
prediction and future forecasting trends can assist to enhance metropolitan safety …

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 …

Background Several studies have tested the reliability of Risk Terrain Modelling (RTM) by
focusing on different geographical contexts and types of crime or events. However, to date …

The fundamental problems in economic development in Indonesia are the low level of
welfare, unsustainable economic growth, and the inadequate development process of …

" Risk terrain modeling (RTM) diagnoses the spatial attractors of criminal behavior and
makes accurate predictions of where crime will occur at the micro-level. This book presents …

Research identifies various place features (eg, bars, schools, public transportation stops)
that generate or attract crime. What is less clear is how the spatial influence of these place …

There has been a significant focus on predictive policing systems, as law enforcement
agents embrace modern technology to forecast criminal activity. Most developed nations …

Near repeat analysis has been increasingly used to measure the spatiotemporal clustering
of crime in contemporary criminology. Despite its predictive capacity, the typically short time …

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 …

Geographic forecasting of crime can be done by considering prior crime or by considering
spatial risk factors, eg, using risk terrain modeling (RTM). The present paper tests both …