The Hotspot Matrix: A Framework for the Spatio-Temporal Targeting of Crime Reduction
نویسنده
چکیده
The growth of intelligence-led policing has placed even greater emphasis on the clear identification of crime hotspots as well as the choice of the crime reduction or detection strategy identified to combat a problem. Crime hotspots are becoming central to policing strategy in many locations, as they enable an operational commander to focus resources into the areas of highest need. This paper outlines the techniques used to identify the spatial and temporal components of crime hotspots, and utilizes these methods to identify three broad categories of temporal hotspot and three broad categories of spatial hotspot. These categories are described in the form of a Hotspot Matrix. Real examples show how the spatial and temporal characteristics combine within the hotspot matrix, and the paper concludes by showing how operational commanders and crime prevention practitioners might employ the hotspot matrix to determine an appropriate prevention or detection strategy.
منابع مشابه
Novel evaluation metrics for sparse spatio-temporal point process hotspot predictions - a crime case study
Many physical and sociological processes are represented as discrete events in time and space. These spatio-temporal point processes are often sparse, meaning that they cannot be aggregated and treated with conventional regression models. Models based on the point process framework may be employed instead for prediction purposes. Evaluating the predictive performance of these models poses a uni...
متن کاملVisualization 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...
متن کاملSpatio-temporal Analysis of Myocardial Infarction in an Iranian Military Community During the Period 2015-2018
Background and Aim: Myocardial infarction (MI) is one of the leading causes of mortality worldwide. This disease imposes a high socio-economic burden on patients. Since the Spatio-temporal analysis of diseases plays an essential role in the design of prevention and management programs. The present study aimed to identify regional clusters of MI and also analyze the time trend of the disease amo...
متن کاملSpatio-temporal crime hotspots and the ambient population
It is well known that, due to that inherent differences in their underlying causal mechanisms, different types of crime will have variable impacts on different groups of people. Furthermore, the locations of vulnerable groups of people are highly temporally dynamic. Hence an accurate estimate of the true population at risk in a given place and time is vital for reliable crime rate calculation a...
متن کاملSTCS-GAF: Spatio-Temporal Compressive Sensing in Wireless Sensor Networks- A GAF-Based Approach
Routing and data aggregation are two important techniques for reducing communication cost of wireless sensor networks (WSNs). To minimize communication cost, routing methods can be merged with data aggregation techniques. Compressive sensing (CS) is one of the effective techniques for aggregating network data, which can reduce the cost of communication by reducing the amount of routed data to t...
متن کامل