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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora

Participants in the publication
Romeiras, M. M. (Author)
Carine, M. (Author)
Duarte, M. C. (Author)
Dep. Biologia Vegetal
cE3c
Catarino, S. (Author)
Dias, F. S. (Author)
Borda-de-Água, L. (Author)

Date of Publication
2020-03-13

Where published
Frontiers in Plant Science

Publication Identifiers
ISSN - 1664-462X

Publisher
Frontiers Media SA

Volume
11

Document Identifiers
DOI - https://doi.org/10.3389/fpls.2020.00278
URL - http://dx.doi.org/10.3389/fpls.2020.00278

Rankings
SCIMAGO Q1 (2019) - 1.691 - Plant Science


Export

APA
Romeiras, M. M., Carine, M., Duarte, M. C., Catarino, S., Dias, F. S. , Borda-de-Água, L., (2020). Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora. Frontiers in Plant Science, 11, ISSN 1664-462X. eISSN . http://dx.doi.org/10.3389/fpls.2020.00278

IEEE
Romeiras, M. M., Carine, M., Duarte, M. C., Catarino, S., Dias, F. S. , Borda-de-Água, L., "Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora" in Frontiers in Plant Science, vol. 11, 2020. 10.3389/fpls.2020.00278

BIBTEX
@article{44140, author = {Romeiras, M. M. and Carine, M. and Duarte, M. C. and Catarino, S. and Dias, F. S. and Borda-de-Água, L.}, title = {Bayesian Methods to Analyze Historical Collections in Time and Space: A Case Study Using Cabo Verde Endemic Flora}, journal = {Frontiers in Plant Science}, year = 2020, volume = 11 }