Supporting R package for the paper "Protected area personnel and ranger numbers are insufficient to deliver global expectations" by Appleton et al.
-
Alexandre Courtiol1
-
François Rousset2
-
Michael R. Appleton3
-
Lucy Emerton4
-
James L. Slade3
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Andrew Tilker5
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Lauren C. Warr3
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Mónica Álvarez Malvido6
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James R. Barborak7
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Louise de Bruin8
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Rosalie Chapple9
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Jennifer C. Daltry10
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Nina P. Hadley3
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Christopher A. Jordan3
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Rohit Singh11
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Eleanor J. Sterling12
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Erin G. Wessling13
-
Barney Long3
- 1. Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
- 2. Institute of Evolutionary Science of Montpellier, University of Montpellier, Montpellier, France
- 3. Re:wild, Austin, TX, USA
- 4. Environment Management Group, Colombo, Sri Lanka
- 5. Re:wild, Austin, TX, USA + Department of Ecological Dynamics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany
- 6. International Ranger Federation, Victoria, Australia + IUCN World Commission on Protected Areas
- 7. Center for Protected Area Management, Colorado State University, Fort Collins, CO, USA
- 8. Game Rangers Association of Africa, Garsfontein, South Africa
- 9. Blue Mountains World Heritage Institute, Katoomba, NSW, Australia
- 10. Re:wild, Austin, TX, USA + Fauna & Flora International, Cambridge, UK
- 11. World Wildlife Fund, Washington, DC, USA
- 12. Hawaii Institute of Marine Biology, School of Ocean and Earth Science and Technology, University of Hawaii, Manoa, HI, USA
- 13. Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
Description
This Zenodo/GitHub repository provides the data and R code behind the paper Protected Area Personnel and Ranger Numbers are Insufficient to Deliver Global Expectations by Appleton et al. (to appear in Nature Sustainability, 2022): https://doi.org/10.1038/s41893-022-00970-0
The data and R code are bundled together as an R package called rangeRinPA.
To reproduce the results presented in the paper, download the zip file linked in this file, open R and set your working directory to where the zip file is.
Then, to install and use rangeRinPA, execute the following R call:
## install remotes if missing
if (!requireNamespace("remotes", quietly = TRUE)) {
install.packages("remotes")
}
## install rangeRinPA
remotes::install_local("rangeRinPA-v_2022.09.26.zip")
## load rangeRinPA
library(rangeRinPA)
## open the help that contains all steps to reproduce our workflow
?rangeRinPA
This should open the main help file of this package.
Alternatively, you can also follow the instructions on our GitHub repository which detail a different way of installing the package.
Files
courtiol/rangeRinPA-v_2022.09.26.zip
Files
(9.2 MB)
| Name | Size | Download all |
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md5:846b252d7d4d95018fcd2bd4881119d4
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9.2 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/courtiol/rangeRinPA/tree/v_2022.09.26 (URL)