Detecting commonality in multidimensional fish movement histories using sequence analysis

Detecting commonality in multidimensional fish movement histories using sequence analysis

Abstract Background Acoustic telemetry, for tracking fish movement histories, is multidimensional capturing both spatial and temporal domains. Oftentimes, analyses of such data are limited to a single domain, one domain nested within the other, or ad hoc approaches that simultaneously consider both...

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Bibliographic Details
Main Authors: Michael R. Lowe, Christopher M. Holbrook, Darryl W. Hondorp
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Animal Biotelemetry
Subjects:
Acoustic telemetry
Fish movement
Hierarchical clustering
Optimal matching
Online Access:http://link.springer.com/article/10.1186/s40317-020-00195-y

Internet

http://link.springer.com/article/10.1186/s40317-020-00195-y

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