Releases: sghosh89/WP3_SpatialSyn
Code repository for: Spatial synchrony at the extremes: Tail-dependence in temperature drives tail-dependence in birds' spatial synchrony across North America
Repository for analysis:
Spatial synchrony at the extremes: Tail-dependence in temperature drives tail-dependence in birds' spatial synchrony across North America
Authors: Shyamolina Ghosh (1*), Owen L. Petchey (1)
Affiliations:
Department of Evolutionary Biology and Environmental Studies, University of Zurich; Winterthurerstrasse 190, 8057 Zurich, Switzerland
*Corresponding author: Shyamolina Ghosh (ghoshshyamolina89@gmail.com)
About:
This repository records the complete workflow that produced the analysis from the data.
Each folder contains a "README.txt" to guide through the repository. We used the data extracted from
several publicly available databases (e.g., Breeding Bird Survey: https://doi.org/10.5066/P9J6QUF6;
CHELSA: https://chelsa-climate.org/, AVONET: Tobias et al. 2022;
EltonTraits: Wilman et al. 2014; BirdTree: https://birdtree.org/).
The core software dependency is R (R Core Team, 2022. R: A language and environment for statistical computing.
R Foundation for Statistical Computing, Vienna, Austria. URL https://www.r-project.org/.).
Codes are written and performed by Ghosh with R version 4.2.1 on a windows 10 laptop. This repository is intended
to record a workflow, and is not designed or tested for distribution and wide use on multiple platforms.
For any reproducibility issue, you may contact S. Ghosh at ghoshshyamolina89@gmail.com
Funding and acknowledgement:
SG and OP were supported by funding from UZH. SG would like to thank Dr. Imran Khaliq for the helpful
discussion on phylogeny and feedbacks on the initial draft.
Code repository for: Spatial synchrony at the extremes: Tail-dependence in temperature drives tail-dependence in birds' spatial synchrony across North America
Repository for analysis:
Spatial synchrony at the extremes: Tail-dependence in temperature drives tail-dependence in birds' spatial synchrony across North America
Authors: Shyamolina Ghosh (1*), Owen L. Petchey (1)
Affiliations:
- Department of Evolutionary Biology and Environmental Studies, University of Zurich; Winterthurerstrasse 190, 8057 Zurich, Switzerland
*Corresponding author: Shyamolina Ghosh (ghoshshyamolina89@gmail.com)
About:
This repository records the complete workflow that produced the analysis from the data.
Each folder contains a "README.txt" to guide through the repository. We used the data extracted from
several publicly available databases (e.g., Breeding Bird Survey: https://doi.org/10.5066/P9J6QUF6;
CHELSA: https://chelsa-climate.org/, AVONET: Tobias et al. 2022;
EltonTraits: Wilman et al. 2014; BirdTree: https://birdtree.org/).
The core software dependency is R (R Core Team, 2022. R: A language and environment for statistical computing.
R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.).
Codes are written and performed by Ghosh with R version 4.2.1 on a windows 10 laptop. This repository is intended
to record a workflow, and is not designed or tested for distribution and wide use on multiple platforms.
For any reproducibility issue, you may contact S. Ghosh at ghoshshyamolina89@gmail.com
Funding and acknowledgement:
SG and OP were supported by funding from UZH. SG would like to thank Dr. Imran Khaliq for the helpful
discussion on phylogeny and feedbacks on the initial draft.
Code repository for analysis: Spatial synchrony at the extremes: Tail-dependence in temperature drives tail-dependence in birds' spatial synchrony across North America
Repository for analysis:
Spatial synchrony at the extremes: Tail-dependence in temperature drives tail-dependence in birds' spatial synchrony across North America
Authors: Shyamolina Ghosh (1*), Owen L. Petchey (1)
Affiliations:
- Department of Evolutionary Biology and Environmental studies, University of Zurich; Winterthurerstrasse 190, 8057 Zurich, Switzerland
*Corresponding author: Shyamolina Ghosh (ghoshshyamolina89@gmail.com)
About:
This repository records the complete workflow that produced the analysis from the data.
Each folder contains a "README.txt" to guide through the repository. We used the data extracted from
several publicly available databases (e.g., Breeding Bird Survey: https://doi.org/10.5066/P9J6QUF6;
CHELSA: https://chelsa-climate.org/, AVONET: Tobias et al. 2022;
EltonTraits: Wilman et al. 2014; BirdTree: https://birdtree.org/).
The core software dependency is R (R Core Team, 2022. R: A language and environment for statistical computing.
R Foundation for Statistical Computing, Vienna, Austria. URL https://www.r-project.org/.).
Codes are written and performed by Ghosh with R version 4.2.1 on a windows 10 laptop. This repository is intended
to record a workflow, and is not designed or tested for distribution and wide use on multiple platforms.
For any reproducibility issue, you may contact S. Ghosh at ghoshshyamolina89@gmail.com
Funding and acknowledgement:
SG and OP were supported by funding from UZH. SG would like to thank Dr. Imran Khaliq for the helpful
discussion on phylogeny and feedbacks on the initial draft.