Our approach has involved an innovation of the popular circle-based spatial scan statistic. These case studies concern critical societal issues, such as public health, ecosystem health, biodiversity and threats to biodiversity, emerging infectious disease, water management and conservation, carbon sources and sinks, persistent poverty, environmental justices, crop pathogens, invasive-species management, biosurveillance, biosecurity, disease biogeoinformatics, social networks, sensor networks, hospital networks and syndrome surveillance, video mining, early warning, tsunami inundation, remote sensing, and disaster management. This article describes multidisciplinary research based on novel methods for hot-spot detection and prioritization, driven by a diverse variety of case studies of interest to agencies, academia, and the private sector.
Responsible factors may be natural, accidental, or intentional, with relevance to both infrastructure and security. Government agencies require hot-spot delineation and prioritization for monitoring, etiology, management, or early warning. A hot spot may be any unusual phenomenon, anomaly, aberration, outbreak, elevated cluster, or critical area.
Geoinformatic surveillance for spatial and temporal hot-spot detection and prioritization is crucial in the 21st century.
0 kommentar(er)
