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[CCICADA-announce] DIMACS/CCICADA Interdisciplinary SeminarSeries-Monday, April 11, 2011

Linda Casals lindac at
Wed Apr 6 14:55:35 EDT 2011

DIMACS/CCICADA Interdisciplinary Seminar Series Presents

Title: Risk Terrain Modeling: Using Basic GIS Functionality
       for Spatial Risk Assessment and Event Forecasting

Speaker: Joel Caplan, Rutgers University, School of Criminal Justice

Date: Monday, April 11, 2011 12:00 - 1:00 pm

Location: DIMACS Center, CoRE Bldg, Room 431, Rutgers University                 
             Busch Campus, Piscataway, NJ


With the growing utilization of intelligence-led operations in the
public safety and security community, risk assessments for crime and
other hazards are especially important for tactical actions, resource
allocations, and short- and long-term planning. Risk terrain modeling
(RTM) is an approach to spatial risk assessment that standardizes risk
factors to common geographic units. Separate risk map layers are then
combined in a Geographic Information System (GIS) to produce "risk
terrain" maps showing the presence, absence, or intensity of all risk
factors at every location throughout the geography. Risk terrain maps
show where conditions are ideal or conducive for crimes or other
hazardous events to occur in the future. RTM builds upon underlying
principles of hotspot mapping, environmental criminology, and
problem-oriented policing, but offers a new and statistically valid
way to articulate and communicate criminogenic and vulnerable areas at
the micro-level.It "paints a picture" of environmental context. This
presentation is an introduction to the origin of RTM and its
conceptual and technical steps. This is presented with a particular
focus on forecasting the location of shooting incidents in Irvington,
NJ. It will be demonstrated how to use RTM to perform spatial risk
assessments and develop strategic models to forecast where problems
are likely to emerge, and to allocate resources and engage in steps
that might reduce risks and prevent problematic events from occurring
in the future.

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