Computational Analysis of Movement Behaviors in Response to Toxic Chemicals for Monitoring
09/2/12, 13:30 at Room 3631 (6th floor of building 3 of the Faculty of Sciences)
Behavioral monitoring has garnered a special attention recently in ecological risk assessment in aquatic ecosystems, filling the gap between macro-scale (e.g., community structure) and micro-scale (e.g., molecular response) measurements. While behavioral monitoring could be conducted on the real time basis and is efficient in on-line monitoring, movement data are complex to analyze. The data are highly variable and sensitive to various sources of noise. Computational methods applied to analysis of the movement data are briefly outlined in patterning response behaviors and in revealing structural properties in the movement data.
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