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

研究成果: Article査読

9 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)323-326
ページ数4
ジャーナルFisheries Research
102
3
DOI
出版ステータスPublished - 2010 3月

ASJC Scopus subject areas

  • 水圏科学

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