This paper presents a spatial‐ temporal prediction of crime that allows forecasting of the criminal activity behavior in a particular district by using structured crime classification algorithm. The quantity of each crime is understood as the forecasted enhance or reduce the particular moment in time and location of the criminal activity. The proposed algorithm used for forecasting crime is bas...

The focus of this paper is to identify anomalous spatial windows using clustering-based methods. Spatial Anomalous are the contiguous groupings nodes which unusual with respect rest data. Many scan statistics based approaches have been proposed for identification windows. To similarly behaving groups points, clustering techniques proposed. There parallels between both types but these not used i...

Objectives Decades of empirical research demonstrate that crime is concentrated at a range of spatial scales, including street segments. Further, the degree of clustering at particular geographic units remains noticeably stable and consistent; a finding that Weisburd (Criminology 53:133–157, 2015) has recently termed the ‘law of crime concentration at places’. Such findings suggest that the fut...

BACKGROUND Sexual crime is an important public health concern. The possible causes of sexual aggression, however, remain uncertain. METHODS We examined familial aggregation and the contribution of genetic and environmental factors to sexual crime by linking longitudinal, nationwide Swedish crime and multigenerational family registers. We included all men convicted of any sexual offence (N = 2...

Route anomalies, beyond simple leaks, are occurring on the order of tens of thousands a year. These may be accidents. There is anecdotal evidence that indicate many of these are in fact crimes. There are case studies that illustrate the use of these for national intelligence. Any given anomaly could be an accident, a crime, or an attack. To understand the nature of routing anomalies we offer an...

MICHAEL BACON: A Spatial Statistics Examination of Changes in Violent Crime Patterns Following a Housing Redevelopment Project The HOPE VI public housing redevelopment program has funded the demolition of many distressed public housing units across the United States, along with the construction of new developments which incorporate public housing with market-rate housing. Among the primary goal...

As crime rates keep spiraling each day, new challenges are faced by law enforcement agencies. They have to their on the lookout for any signs criminal activity. The agencies should therefore be able predict such increase or decrees trends in crime. Such as theft, Killing. Crime that may occur a particular area month, year, timespan. Data mining is defined process of discovering hidden valuable ...

Geometry based approaches like CrimeStat [7, 3] clusters data based on the geometric location of the points. They exploit a regular geometrical shape like a circle or an ellipse to group high activity areas in domains like crime analysis. CrimeStat uses the K-means [9] and hierarchical nearest neighbour clustering [6] to cluster these activities based on the Euclidean distances between the acti...