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Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data

Crossref DOI link: https://doi.org/10.1016/j.ecoinf.2020.101086

Published Print: 2020-05

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Moua, Yi

Roux, Emmanuel

Seyler, Frédérique

Briolant, Sébastien
Funding

Funding for this research was provided by:

Centre National d’Etudes Spatiales

Centre de Coopération Internationale en Recherche Agronomique pour le Développement

European Commission

Agence Nationale de la Recherche

Institut de Recherche pour le Développement
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Text and Data Mining valid from 2020-05-01

Text and Data Mining valid from 2020-05-01

Version of Record valid from 2020-04-06
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This article is maintained by: Elsevier

Article Title: Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data

Journal Title: Ecological Informatics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.ecoinf.2020.101086

Content Type: article

Copyright: © 2020 The Authors. Published by Elsevier B.V.