Crime Mapping and Analysis Lab

Director: Lin Liu

Location: Braunstein Hall 223

The Crime Mapping and Analysis Lab aims to map and analyze various types of crime, including, but not limited to, street crimes, burglary, fraud, and drug-related crime. It covers a wide range of topics, such as mapping, crime pattern detection, association of crime pattern to the built environment and socioeconomic conditions, crime prediction, crime prevention, and assessment. In addition to census data, urban infrastructure data and remote sensing images, social media and other big data are used to explain and estimate crime. GIS, remote sensing, spatial statistics, and machine learning are the main analytical tools used in the lab.