Combining Regional Habitat Selection Models for Large-Scale Prediction: Circumpolar Habitat Selection of Southern Ocean Humpback Whales

Machine learning algorithms are often used to model and predict animal habitat selection—the relationships between animal occurrences and habitat characteristics. For broadly distributed species, habitat selection often varies among populations and regions; thus, it would seem preferable to fit regi...

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書誌詳細

出版年:	Remote Sensing
主要な著者:	Ryan R. Reisinger, Ari S. Friedlaender, Alexandre N. Zerbini, Daniel M. Palacios, Virginia Andrews-Goff, Luciano Dalla Rosa, Mike Double, Ken Findlay, Claire Garrigue, Jason How, Curt Jenner, Micheline-Nicole Jenner, Bruce Mate, Howard C. Rosenbaum, S. Mduduzi Seakamela, Rochelle Constantine
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2021-05-01
主題:	ensembles habitat selection machine learning prediction resource selection functions telemetry
オンライン･アクセス:	https://www.mdpi.com/2072-4292/13/11/2074