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dc.contributor.authorHao, T
dc.contributor.authorElith, J
dc.contributor.authorLahoz-Monfort, JJ
dc.contributor.authorGuillera-Arroita, G
dc.date.accessioned2020-11-27T00:00:51Z
dc.date.available2020-11-27T00:00:51Z
dc.date.issued2020-01-27
dc.identifier.citationHao, T., Elith, J., Lahoz-Monfort, J. J. & Guillera-Arroita, G. (2020). Testing whether ensemble modelling is advantageous for maximising predictive performance of species distribution models. ECOGRAPHY, 43 (4), pp.549-558. https://doi.org/10.1111/ecog.04890.
dc.identifier.issn0906-7590
dc.identifier.urihttp://hdl.handle.net/11343/252315
dc.languageEnglish
dc.publisherWILEY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleTesting whether ensemble modelling is advantageous for maximising predictive performance of species distribution models
dc.typeJournal Article
dc.identifier.doi10.1111/ecog.04890
melbourne.affiliation.departmentSchool of BioSciences
melbourne.source.titleEcography: pattern and diversity in ecology
melbourne.source.volume43
melbourne.source.issue4
melbourne.source.pages549-558
dc.rights.licensecc-by
melbourne.elementsid1431892
melbourne.contributor.authorLahoz-Monfort, Jose
melbourne.contributor.authorElith, Rosemary
melbourne.contributor.authorGuillera-Arroita, Gurutzeta
melbourne.contributor.authorHao, Tianxiao
dc.identifier.eissn1600-0587
melbourne.accessrightsOpen Access


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