Over the past 20 years, the United States has experienced a massive increase in imprisonment. The number of people incarcerated and the clustering of that incarceration in the inner-city black population raise the prospect that incarceration may be undermining less coercive institutions of social control such as families or communities. The long-term result of this incarceration policy, then, w...

Violence involving firearms poses a serious threat to public safety in urban areas. The present study examines how illegal firearm availability (IFA) is related to firearm violence at the neighborhood level. We analyzed 3 years (from 2005 to 2007) of recovered firearm and violent index crime data from Newark, New Jersey. Violent index crime is separated into three categories by level of firearm...

Asking eyewitnesses to provide an initial account using free recall strategies is a crucial procedure used in most investigative interviews (e.g. Cognitive Interview or PEACE model) allowing accurate and detailed information about the crime. Recent studies suggest clustering retrieval like Category Clustering Recall (CCR) can also be effective for obtaining from eyewitnesses, perhaps more than ...

Dynamic pattern analysis refers to analyzing the relationship of spatial patterns at different time points. Traditional spatial pattern analysis such as data clustering can find the spatial patterns extant at a geographical location at a particular time point but failing to identify spatial dynamics, or changes that occur over time in a particular place. In this paper, we present a dynamic patt...

As the most common type of evidence at crime scenes, footwear marks are found more often than fingerprints, and yet left largely unused due to lack of efficient and reliable tools. While the central task is stated simply – retrieve the closest matches among a database of known outsole prints – the difficulty is the poor quality of the marks and a very large and increasing number of outsole patt...

This paper develops an interactive approach for exploratory spatial data analysis. Measures of attribute similarity and spatial proximity are combined in a clustering model to support the identiŽ cation of patterns in spatial information. Relationships between the developed clustering approach, spatial data mining and choropleth display are discussed. Analysis of property crime rates in Brisban...

The main objective of this paper is to design An Intelligent Content Based Image Retrieval System for retrieving better results (similar images) from large image database with respect to an input query image. In this research work, we have used features like Color, Texture and shape with separate and combined effects. For making CBIR system intelligent, we have applied Non Linear Neural Network...

x Do not read this story; turn the page quickly. The story may upset you. Anyhow, you probably know it already. It is a very disturbing story. Everyone knows it. The glory and the crime of Commander Suzdal have been told in a thousand different ways. Don't let yourself realize that the story is the truth. It isn't. not at all. There's not a bit of truth to it. There is no such planet as Arachos...

Much research from different fields has explored the crime-space relationship for crime types with various study units. However, empirical studies in diverse urban environments get conflict results that support two contrary planning paradigms, ‘open’ and ‘closed’ solutions. Through a case one prosperous city China, this tries to detect between neighbourhood permeability burglary distribution pa...

The direction of public policies plays an important role in society as a whole, especially security, which, addition to being considered necessity for every citizen, is constitutionally guaranteed. This study presents the use unsupervised learning approach establishment clusters among municipalities State Pernambuco, Brazil, considering some types representative crimes, aiming direct actions pr...