This paper analyzes the spatial patterns and trends of vehicle theft crimes in Mexico City. Data on arrests and criminal warrants are examined at the municipality and police sector levels. Also, series are examined in a yearly, monthly and daily fashion. This allows the detection of hot spots and the probabilistic forecasting of vehicle theft crimes on a daily basis. This is performed within reasonable limits of data reliability, sampling error, and in disconnection from theoretical postulates. Findings are discussed in relationship to criminal prevention policy actions. [ABSTRACT FROM AUTHOR]
Published
2011
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