May 4, 2017 – Registration Deadline April 21st
This 8 hour course provides an introduction to important components of today’s skill set necessary for a Crime and/or Intelligence Analyst: including Geographic Information Systems, the interpretation of aerial images (remote sensing) and a general survey of the concepts and applications of geospatial technology in the law enforcement field. By taking this course, participants will be able to approach events and crimes with a spatial perspective and learn how geographic analysis can inform and improve problem-solving. Open to any law enforcement manager, officer, or analyst.
- Introduce geospatial technology, and high-level applications for law enforcement: 30 min.
- GIS, GPS, RS, UAV/drone, Cartography
- Administration, patrol, crime analysis, special operations, and corrections.
- Perform queries based on attribute and location information to obtain accurate information regarding the location of businesses, persons of interest or any information containing spatial information: 90 min
- Locating the residences of persons with common names within a specific proximity to a crime scene, or identifying the proximity of persons of interest to vulnerable institutions.
- Raster density mapping and hot-spot analysis: 120 min.
- Introduce methods of utilizing police database crime records to isolate specific crimes in a database (attribute queries) to produce custom datasets, density maps, and hot-spot analysis.
- This includes the commonly used “CrimeView software from The Omega Group
- Private and public-facing web mapping of crime: 60 min
- Uploading of spatial datasets to online mapping software.
- Introduction to available crime mapping online software.
- Discussion of transparency of crime activity to civilians in local community.
- Demonstrate Remote Sensing applications for law enforcement: 60 min
- The use of optical aerial imagery (nadir, oblique) to observe potential targets, monitor illegal crop growth, and understand the site and situation prior to arriving to a scene.
- UAVs and drones more commonly being used to document crime scene situations (car crashes, crime scenes, etc)
- Learners will identify and practice most applicable geospatial topics to their region of interest: 120 min
Objectives & Goals
- Gain a better understanding of geospatial technology
- Perform queries based on attribute and location information to obtain accurate information
- Utilize police database crime records to isolate specific crimes in a database to produce custom datasets, density maps, and hot-spot analysis.
- Upload spatial datasets to online mapping software.
- Gain knowledge regarding available crime mapping online software.
- Gain a better understanding of remote sensing applications for law enforcement
- Students must attend 80% of training.
- 222 S. Kedzie Hall, Michigan State University
Registration is CLOSED.
Yi Shi: onGEO Associate Director, Assistant Professor, Instructor, and Course Developer. Dr. Shi manages and teaches professional GIS certificate courses. He has a wide range of research, teaching, and professional experiences in the realm of geospatial technologies and their applications. Over the years, he has developed numerous GIS applications for many clients, including all levels of government. Dr. Shi loves geospatial technologies and the ways they are changing the world for the better. He is delighted to share his knowledge of geospatial technologies with his students and being instrumental in their educational journey.
Grant Gunn: Assistant Professor, onGEO Instructor and Course Developer. Dr. Gunn teaches graduate-level Geospatial Technology courses to masters and PhD students enrolled in MSU’s School of Criminal Justice, which introduces theory and applications how spatial relationships are identified and exploited using GIS and remote sensing technology in law enforcement-specific scenarios. In addition, Dr. Gunn utilizes remote sensing and GIS in his research at MSU, observing the snow and lake ice in northern environments using microwave remote sensing technology.