Criminal Justice-COAS | Crime Mapping
P680 | 3504 | Verma


This course is based upon a lecture-lab format where instructions in
theory will be followed by practical experience of learning about
crime mapping and its analytical techniques. The course will teach
about criminal behavior and victimization from the theoretical
perspectives of Environmental Criminology, Routine Activities
Approach and movement patterns in everyday life.  The course will
present the literature pertaining to the research of Cohen, Felson,
Clarke, Brantinghams, Rengert, Harries, LeBeau, Langworthy and many
other pioneers of this field.  The theory will be firmly grounded
within the discourse of Crime Prevention on the basis of Rational
Choice perspective.

The laboratory portion will focus upon the development of skills in
preparing crime maps, displaying related social, economic,
political, demographic and physical features and analyzing patterns
in crime.  Students will learn about the structure of different data
sets such as crime data from police departments, Census data and
important physical locations, buildings, malls and schools from
municipal and other agencies.  They will learn about Geo-coding and
bringing all such data within an inter-related Geographical
Information System. Thereafter, they will be taught to apply the
theoretical perspectives in analyzing such Geo-coded data to
understand how crime is affected by land use patterns, residential
layouts, street networks, transportation systems and different
regular activities of a place.  They will be taught ways to
determine the hot spots of different crime types and ways of
analyzing crime patterns using the concepts of geographical
profiling.

Texts
1.  Harries, Keith; 2000; Mapping Crime:  Principle and Practice,
CMRC:  Washington DC
2.  Course Reader

Evaluation Criteria
Projects             50%
Research Paper       20%
Final Exam [Theory]  30%

Class meeting:  8:30-11:30, D, BH 103

Instructor:  Professor Arvind Verma, criminal justice department

Web page:  http://php.indiana.edu/~averma/mapping/