Authors: Jiyoung Lee*, Louisiana State University, Michael Leitner, Louisiana State University
Topics: Geographic Information Science and Systems, Remote Sensing
Keywords: Crime, Nighttime, VIIRS, GIS, RS
Session Type: Poster
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
Nighttime light images can be used in various fields; to estimate population, to monitor urban growth, and to analyze spatial patterns of crime occurrences. Unlike these studies, there is a lack in the use of nighttime light images and its relationship with understanding crime rates. Therefore, in this study, we analyzed the relationship between the crime rate of Baton Rouge, a city with one of the highest crime occurrence within the United States, and nighttime light images using the Visible Infrared Radiometer Suite (VIIRS) from 2014 to 2018. We also considered the crime types and conducted multiple regression analysis using social variables such as population, median family income and so on. This study is an important step to investigate the use of nighttime light data to understand crime within cities, the possible factors limiting its usage and if there is future potential in its applications.