Random forest and spatial cross-validation performance in predicting species abundance distributions
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Random forest and spatial cross-validation performance in predicting species abundance distributions ; volume:13 ; number:1 ; day:28 ; month:6 ; year:2024 ; pages:1-24 ; date:12.2024
Environmental Systems Research ; 13, Heft 1 (28.6.2024), 1-24, 12.2024
- Creator
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Mushagalusa, Ciza Arsène
Fandohan, Adandé Belarmain
Glèlè Kakaï, Romain
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40068-024-00352-9
- URN
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urn:nbn:de:101:1-2409201104381.178290364263
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:24 AM CEST
Data provider
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Associated
- Mushagalusa, Ciza Arsène
- Fandohan, Adandé Belarmain
- Glèlè Kakaï, Romain
- SpringerLink (Online service)
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Random distributions and random migration in homeostasis and immune responses
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Dynamic probabilistic constraints under continuous random distributions
Dynamic probabilistic constraints under continuous random distributions
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Work distributions for random sudden quantum quenches
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Unveiling global species abundance distributions
Possibly nonstationary cross-validation
Tail expansions for random record distributions
Weighted random patterns with multiple distributions
Random distributions and random migration in homeostasis and immune responses
Cross-validation is dead. Long live cross-validation! Model validation based on resampling
Dynamic probabilistic constraints under continuous random distributions
Dynamic probabilistic constraints under continuous random distributions
Multiple distributions for biased random test patterns
Work distributions for random sudden quantum quenches
Multiple distributions for biased random test patterns