New Research in Crime Modeling and Mapping Using Geospatial Technologies

Michael Leitner is the Carl O. Sauer Professor of Geography in the Department of Geography and Anthropology at Louisiana State University (LSU) in Baton Rouge, US. He is an Adjunct Professor in the Department of Experimental Statistics at LSU, an Adjunct Faculty in the Department of Geoinformatics – Z_GIS at the University of Salzburg, Austria, and an affiliated scholar with the Independent Research Group: Space, Contexts, and Crime at the Max Planck Institute for the Study of Crime, Security and Law in Freiburg, Germany. His primary research interests include geographies of crime and health, geospatial privacy concerns, and fine-scale spatial data collection and analysis combining spatial video geonarratives and physiological measurements of people. He has co-authored two books, co-edited four books, published 68 peer-reviewed articles, and served as the editor of Cartography and Geographic Information Science (CaGIS) from 2008 to 2014.

• Part I. Big Data and Micro Spaces.- 1. Big Data and Social Media Analytics Opportunities for Interactive Crime Mapping (Yunus Serhat Bicakci , Alina Ristea , and Kate Bowers).- 2. Finding an Adequate Areal Unit to Map Crime: a Spatial Data Perspective (Rafael G. Ramos).- 3. Investigating the Influence of Residents and Nonresidents on Crime at Micro Space-time Intervals (Elizabeth R. Groff, Cory P. Haberman and Mary Jo Fraley).- 4. Geoforensic Search Space Modeling: Applications to Documented Cases (Haoyu Wang, Jennifer A. Miller).- 5. Predicting Crime at Micro Places: Comparing Machine Learning Methods Across European Cities (Robin Khalfa, Thom Snaphaan, Alina Ristea, Ourania Kounadi and Wim Hardyns).- Part 2. Mobility.- 6. Route Generation Heuristics for the Automated Creation of Hot Spots Policing Patrol Routes (Francisco Carlos F. Nunes Juniora, Jhonata A. S. Matiasa, Spencer P.).- 7. Optimizing Police Response with the Multiple-Type Demand & Multiple-Type Facility Maximal Covering Location Problems (Ashleigh N. Price and Kevin M. Curtin ).- 8. Direction-Specific Human Mobility Improves Crime Modeling: Evidence from Houston (Ling Wu, Qian He, Chunwu Zhu, Xiao Huang, Xinyue Ye).- 9. Using Mobility Data based on GPS Locations for the Analysis of Urban Crime - a Test of Geofencing for Filtering Transit Mobility (Dietrich Oberwittler, Christopher Gahler, Carina Hasitzka).- Part 3. Drugs.- 10. Using Spatial Mixed Methods to Reveal the Geographic Nuances of Opioid Overdose Patterns in Small and Rural Towns (Andrew Curtis, Jacqueline Curtis, Jayakrishnan Ajayakumar, and Eric Jefferis).- 11. Analysis of Spatial and Temporal Changes in Hot Spots of Drug-related Offenses in Vienna, Austria between 2010 and 2019 (Carina Hasitzka, Michael Leitner).- 12. Using GIS and Web Maps for Community Engagement on Alcohol-Related Crashes and Policy Reform (Aimee Moles, Andrew Burns, Austin Matthews & Ashley Tillison).- Part 4. Additional Geospatial Applications.- 13. The Impact of Video Surveillance on the Spatial Distribution of Crime – a Case Study from Krakow, Poland (Andrzej Leśniak, Agnieszka Polończyk-Sudoł and Przemysław Waśniowski).- 14. A Spatial Clustering Analysis of Missing Persons Data to Generate Spatially Informed Community Outreach Event Locations (Liam J. Johnson, Ginesse A. Listi, Teresa, V. Wilson, and Michael Leitner).- 15. Unraveling the County-Level Spatial Patterns of Juvenile Delinquency and its Underlying Determinants in Texas (Ling Wu , Cuiling Liu , Michael Lemke , Xinyue Ye ).- 16. Mapping Illegal Logging using GeoAI (Valeria Martin, John D. Morgan & K. Brent Venable).