Exploratory analysis of spatial-temporal patterns in length-frequency data: An example of distributional regression trees

Cleridy E. Lennert-Cody, Mihoko Minami, Patrick K. Tomlinson, Mark N. Maunder

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Understanding the spatial-temporal distributions of fish populations is important for their assessment and management. Given the complex structure often present in fisheries length-frequency samples, there is a need for flexible statistical techniques to explore patterns with these types of data. We present a multivariate regression tree method for binned frequencies that uses the Kullback-Leibler divergence to measure node heterogeneity. To illustrate this approach, we apply the method to length-frequency data for yellowfin tuna caught in the purse-seine fishery of the eastern Pacific Ocean.

Original languageEnglish
Pages (from-to)323-326
Number of pages4
JournalFisheries Research
Volume102
Issue number3
DOIs
Publication statusPublished - 2010 Mar

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fishery
fisheries
temporal distribution
Thunnus albacares
divergence
Pacific Ocean
ocean
fish
methodology
analysis
method
sampling
need

Keywords

  • Kullback-Leibler divergence
  • Length-frequency
  • Multivariate regression tree
  • Yellowfin tuna

ASJC Scopus subject areas

  • Aquatic Science

Cite this

Exploratory analysis of spatial-temporal patterns in length-frequency data : An example of distributional regression trees. / Lennert-Cody, Cleridy E.; Minami, Mihoko; Tomlinson, Patrick K.; Maunder, Mark N.

In: Fisheries Research, Vol. 102, No. 3, 03.2010, p. 323-326.

Research output: Contribution to journalArticle

Lennert-Cody, Cleridy E. ; Minami, Mihoko ; Tomlinson, Patrick K. ; Maunder, Mark N. / Exploratory analysis of spatial-temporal patterns in length-frequency data : An example of distributional regression trees. In: Fisheries Research. 2010 ; Vol. 102, No. 3. pp. 323-326.
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