Applying spatiotemporal models to monitoring data to quantify fish population responses to the Deepwater Horizon oil spill in the Gulf of Mexico

Title
Applying spatiotemporal models to monitoring data to quantify fish population responses to the Deepwater Horizon oil spill in the Gulf of Mexico
Authors
Keywords
Deepwater Horizon oil spill, Gulf of Mexico, Louisiana, Spatiotemporal modeling, Delta—generalized linear mixed models, Fisheries modeling, Time series anomalies, Long-term monitoring
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 190, Issue 9, Pages -
Publisher
Springer Nature America, Inc
Online
2018-08-18
DOI
10.1007/s10661-018-6912-z

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