Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data
- DOI
- 10.1016/j.ecoinf.2020.101086
- Published
- 2020-05
- Container
- Ecological Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ecoinf.2020.101086,
title = {Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data},
author = {Yi Moua and Emmanuel Roux and Frédérique Seyler and Sébastien Briolant},
year = {2020},
journal = {Ecological Informatics},
doi = {10.1016/j.ecoinf.2020.101086},
url = {https://doi.org/10.1016/j.ecoinf.2020.101086}
}RIS
TY - JOUR TI - Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data AU - Yi Moua AU - Emmanuel Roux AU - Frédérique Seyler AU - Sébastien Briolant PY - 2020 JO - Ecological Informatics DO - 10.1016/j.ecoinf.2020.101086 UR - https://doi.org/10.1016/j.ecoinf.2020.101086 ER -
APA
Moua, Y., Roux, E., Seyler, F., & Briolant, S. (2020). Correcting the effect of sampling bias in species distribution modeling – A new method in the case of a low number of presence data. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2020.101086
Source records
- crossref · retrieved 2026-09-26T05:24:52.528Z