Understanding risk for an area to experience a particular natural disaster is vital to effective disaster recovery planning. Although hurricanes and tropical storms are commonly associated with property damage and destruction in the state of Florida, the prevalence of sinkhole formations have also had a significant impact on the landscape of the region. This case study examines the factors and geomorphic conditions that contribute to sinkholes, and demonstrates how this knowledge can be applied to risk-assessments and land-use planning.

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Geospatial Statistical Modeling is an emerging technology in intelligence-led policing and takes a more proactive approach towards disrupting criminal activity. This case study examines the use of one such tool, Signature Analyst, by the New Jersey Regional Operations Intelligence Center, where crime analysts are applying geospatial statistical modeling to gun-related crimes.

Click here to download the Predictive Policing Case Study (554 KB)

Invasive species around the world pose a significant problem to the natural habitat, resources, and preservation of various, indigenous wildlife. This study uses statistical predictive analysis to explore likely locations of Phragmites Australis, an invasive wetland species, in Essex County, Virginia. Its presence along the Rappahannock River basin in Essex County, VA has had a significant impact on the landscape, and has caused considerable environmental damage to once pristine areas.

Click here to download the Invasive Species Case Study (669 KB)