GeoInformatic surveillance data combined
with the right statistical interpretation can enable detection
of anomalies, or hot spots, either geographically, over time, or
both. The need may be for monitoring, etiology, management, or
early warning on topics that are natural, accidental or natural.
Many government applications can benefit from such detection,
such as carbon budgets, ecosystem health, crop pathogens, invasive
species, and public health. This multi-disciplinary grant will
develop a prototype system and tool set in collaboration with several
Federal agencies using a statistical method known as upper level
set scan statistic. The prioritization scheme will be based on
multiple criteria using revealing Hasse diagrams and partially
ordered sets.
Full Technical Description
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