This session will focus on spatial analysis of big data and crime. Studies that take advantage of big data, geo-simulation and the latest spatial modeling techniques are featured in the session. Both U.S and international studies, especially comparative studies across multiple countries, are welcome.
|Presenter||Ya Han*, Louisiana State University, Using Local Indicator of Colocation Quotient to Examine Spatial Association of Crime and Alcohol Outlets||20||5:20 PM|
|Presenter||Yanqing Xu*, University of Toledo, The Impact of Street Lights on Spatial-Temporal Patterns of Crime in Detroit, Michigan||20||5:40 PM|
|Presenter||LEE JIEUN*, Seoul National University, Optimal Location Modeling of a Safety booth||20||6:00 PM|
|Presenter||Marcus Boyd*, University of Maryland - College Park, Unmasking Unknowns: A Spatial Method for Identifying Likely Perpetrators of Terrorist Attacks||20||6:20 PM|
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