TY - JOUR
AU - Dugato, Marco
AB - European Journal on Criminal Policy and Research (2018) 24:345–350 https://doi.org/10.1007/s10610-018-9404-3 Forecasting Crime and Understanding its Causes. Applying Risk Terrain Modeling Worldwide 1 2 Leslie W. Kennedy & Marco Dugato Published online: 15 November 2018 Springer Nature B.V. 2018 We are pleased to introduce a special issue on risk terrain modeling (RTM) with expert contributions from around the world. The intent of this issue is to highlight the advances that have been made in the use of the RTM approach and to provide an opportunity to test its applicability in many different settings and geographies. The issue is also intended to provide insights for scholars who are interested in exploring the theoretical and methodological applica- tions of RTM in relation to the unifying themes of environmental criminology and the spatial aspects of crime. Our intention was to address the different aspects of the inquiry inspired by the development of RTM, including theoretical tests, empirical verification, and practical applica- tions. In addressing their research questions, authors were encouraged to present the rationale behind RTM, looking at contextual factors for making crime forecasts that are more useful for guiding interventions and more capable in identifying future possible crime concentrations. We added to 
TI - Forecasting Crime and Understanding its Causes. Applying Risk Terrain Modeling Worldwide
JF - European Journal on Criminal Policy and Research
DO - 10.1007/s10610-018-9404-3
DA - 2018-11-15
UR - https://www.deepdyve.com/lp/springer-journals/forecasting-crime-and-understanding-its-causes-applying-risk-terrain-Q3UdVCDqJ8
SP - 345
EP - 350
VL - 24
IS - 4
DP - DeepDyve
ER -