Crime Pattern Analysis, Spatial Targeting and GIS: The Development of New Approaches for use in Evaluating Community Safety Initiatives

Advances in Spatial Science - Regional Science in Business ◽

10.1007/978-3-662-04625-8_17 ◽

2001 ◽

pp. 323-342 ◽

Cited By ~ 1

Author(s):

Alex Hirschfield ◽

David Yarwood ◽

Kate Bowers

Keyword(s):

Pattern Analysis ◽

Community Safety ◽

Spatial Targeting ◽

New Approaches ◽

Crime Pattern

Supervised and Unsupervised Machine Learning Methodologies for Crime Pattern Analysis

International Journal of Artificial Intelligence & Applications ◽

10.5121/ijaia.2021.12106 ◽

2021 ◽

Vol 12 (1) ◽

pp. 83-99

Author(s):

Divya Sardana ◽

Shruti Marwaha ◽

Raj Bhatnagar

Keyword(s):

Machine Learning ◽

San Francisco ◽

Pattern Analysis ◽

Gradient Boosting ◽

Unsupervised Machine Learning ◽

Task Forces ◽

Crime Types ◽

Grave Problem ◽

Crime Pattern

Crime is a grave problem that affects all countries in the world. The level of crime in a country has a big impact on its economic growth and quality of life of citizens. In this paper, we provide a survey of trends of supervised and unsupervised machine learning methods used for crime pattern analysis. We use a spatiotemporal dataset of crimes in San Francisco, CA to demonstrate some of these strategies for crime analysis. We use classification models, namely, Logistic Regression, Random Forest, Gradient Boosting and Naive Bayes to predict crime types such as Larceny, Theft, etc. and propose model optimization strategies. Further, we use a graph based unsupervised machine learning technique called core periphery structures to analyze how crime behavior evolves over time. These methods can be generalized to use for different counties and can be greatly helpful in planning police task forces for law enforcement and crime prevention.

GIS and crime pattern analysis

GIS and the Social Sciences ◽

10.4324/9781315759326-7 ◽

2017 ◽

pp. 151-165

Author(s):

Dimitris Ballas ◽

Graham Clarke ◽

Rachel S. Franklin ◽

Andy Newing

Keyword(s):

Pattern Analysis ◽

Crime Pattern

Crime Pattern Analysis by Identifying Named Entities and Relation Among Entities

Advances in Intelligent Systems and Computing - Advanced Computational and Communication Paradigms ◽

10.1007/978-981-10-8237-5_8 ◽

2018 ◽

pp. 75-84 ◽

Cited By ~ 2

Author(s):

Priyanka Das ◽

Asit Kumar Das

Keyword(s):

Pattern Analysis ◽

Named Entities ◽

Crime Pattern

The development of the National Offender Management Service (NOMS) and the implications for community safety

Safer Communities ◽

10.1108/17578043200500002 ◽

2005 ◽

Vol 4 (1) ◽

pp. 4-12

Author(s):

Chris Fox ◽

David Jenkins

Keyword(s):

Criminal Justice ◽

Community Safety ◽

Community Interventions ◽

Management Service ◽

New Approaches

The emergence of the National Offender Management Service (NOMS) represents a major restructuring of the criminal justice sector which, in time, is likely to have a significant impact on the community safety field. New approaches to commissioning services, the management of offenders and the potential for a service more strongly focused on community interventions all present challenges and potential opportunities for community safety partnerships and partners.