Mapping and Analysing Crime Data: Lessons from Research and Practice
Alex Hirschfield, Kate Bowers
CRC Press, Sep 2, 2003 - Law - 312 pages
One of the key methods of reducing and dealing with criminal activity is to accurately gauge and then analyse the geographical distribution of crime (from small scale to large scale areas). Once the police and government know what areas suffer most from criminal activity they can assess why this is the case and then deal with it in the most effective way.
Crime mapping and the spatial analysis of crime data have become recognised as powerful tools for the study and control of crime. Much of the emerging demand for more information and detailed crime pattern analysis have been driven by legislative changes, such as the UK's new Crime and Disorder Act which has placed a joint statutory duty on Police Forces and Local Authorities to produce crime and disorder audits for their areas.
The book sets out methods used in the fields of Geographical Information Systems and highlights areas of best practice, examines the types of problems to which spatial crime analysis can be applied, reviews the capabilities and limitations of existing techniques, and explores the future directions of spatial crime analysis and the need for training. It centres on a series of case studies highlighting the experiences of academics and practitioners in agencies centrally involved in the partnership approach to crime prevention.
Practitioners and academics not only in the UK but also worldwide should be interested in the book as an up-to-date information resource and a practical guide.
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analysis of crime application areas beneﬁts Brent brigades British Crime Survey casualties cent clusters community safety crime analysis crime and disorder crime data crime incidents crime mapping crime patterns crime prevention measures criminal Criminology data-sets database decile deﬁned deﬁnition density deprivation deprivation index difﬁcult distribution domestic burglary environmental criminology evaluation example ﬁeld Figure ﬁgures ﬁndings ﬁre incidents ﬁre safety ﬁre service ﬁrst ﬁve geocoded Geographical Information Systems Greater Manchester grid groups hazardous Hirschﬁeld Home Ofﬁce hotspots identiﬁed identify incident data initiatives London Borough Meadowhall Merseyside miles National offenders Openshaw partnerships Police National Computer police ofﬁcers polygons problems properties recorded crime reduce reﬂected repeat burglary repeat victimisation residential burglary residential dwelling ﬁre Shefﬁeld signiﬁcant signiﬁcantly social spatial analysis speciﬁc statistics Table target hardening types variables victims Voronoi Voronoi diagrams Voronoi polygons vulnerable wards