9 - Citations and References

Published

October 4, 2023

Cite ebird and ebird data: https://ebird.org/science/citation

Sullivan, B.L., C.L. Wood, M.J. Iliff, R.E. Bonney, D. Fink, and S. Kelling. 2009. eBird: a citizen-based bird observation network in the biological sciences. Biological Conservation 142: 2282-2292.

eBird Basic Dataset. Version: EBD_relMay-2023. Cornell Lab of Ornithology, Ithaca, New York. May 2023.

E-bird Data Best Practices

Strimas-Mackey, M., W.M. Hochachka, V. Ruiz-Gutierrez, O.J. Robinson, E.T. Miller, T. Auer, S. Kelling, D. Fink, A. Johnston. 2023. Best Practices for Using eBird Data. Version 2.0. https://ebird.github.io/ebird-best-practices/. Cornell Lab of Ornithology, Ithaca, New York. https://doi.org/10.5281/zenodo.3620739

R package citations

Package: sf
Used for: spatial manipulation

Pebesma E (2018). “Simple Features for R: Standardized Support for Spatial Vector Data.” The R Journal, 10(1), 439–446. doi:10.32614/RJ-2018-009, https://doi.org/10.32614/RJ-2018-009.

Pebesma E, Bivand R (2023). Spatial Data Science: With applications in R. Chapman and Hall/CRC. https://r-spatial.org/book/.

——–

Package: wk
Used for: creating grids

Dunnington D, Pebesma E (2023). wk: Lightweight Well-Known Geometry Parsing. R package version 0.7.2, https://CRAN.R-project.org/package=wk.

——–

Package: auk
Used for: filtering eBird data

Strimas-Mackey M, Miller E, Hochachka W (2018). auk: eBird Data Extraction and Processing with AWK. R package version 0.3.0, https://cornelllabofornithology.github.io/auk/.

——–

Package: tidyverse
Used for: general data manipulation

Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686.

——–

Package: ggplot2
Used for: figures

Wickham H (2016). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. ISBN 978-3-319-24277-4, https://ggplot2.tidyverse.org.