https://github.com/cjabradshaw/sharkbite
R code to reproduce analyses predicting potential reduction in shark bites in Australia when wearing electronic deterrents
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (8.9%) to scientific vocabulary
Keywords
Repository
R code to reproduce analyses predicting potential reduction in shark bites in Australia when wearing electronic deterrents
Basic Info
Statistics
- Stars: 1
- Watchers: 3
- Forks: 2
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Shark bites analysis
Accompanies the article: BRADSHAW, CJA, P MEAGHER, MJ THIELE, RG HARCOURT, C HUVENEERS. 2021. Predicting potential future reduction in shark bites on people. Royal Society Open Science 8: 201197. doi:10.1098/rsos.201197
Abstract
Despite the low chance of a person being bitten by a shark, there are serious associated costs. Electronic deterrents are currently the only types of personal deterrent with empirical evidence of a substantial reduction in the probability of being bitten by a shark. We aimed to predict the number of people who could potentially avoid being bitten by sharks in Australia if they wear personal electronic deterrents. We used the Australian Shark Attack File from 1900 to 2020 to develop sinusoidal time-series models of per capita incidents, and then stochastically projected these to 2066. We predicted that up to 1063 people (range: 185–2118) could potentially avoid being bitten across Australia by 2066 if all people used the devices. Avoiding death and injury of people over the next half-century is of course highly desirable, especially when considering the additional costs associated with the loss of recreational, commercial and tourism revenue potentially in the tens to hundreds of millions of dollars following clusters of shark-bite events.
January 2021
Corey J. A. Bradshaw (e-mail), Global Ecology, Flinders University
The R code attached reproduces an analysis to predict the number of people who could avoid being bitten by a shark in Australia from 2020-2066 if wearing electronic deterrents.
The analysis requires four different data files:
Australian Shark Attack File ('sharkbite.exp.csv') — for proprietry reasons, this dataset is only available upon request to Taronga Conservation Society Australia (attn: Phoebe Meagher), Taronga Zoo, Sydney, New South Wales, Australia (but see this repository: Australian Shark-Incident Database)
Monthly southern oscillation index (soi) values from the Australian Bureau of Meteorology (BoM) ('soi.csv')
Monthly Pacific Decadal Oscillation (pdo) values from the National Centres for Environmental Information ('pdo.csv')
Australian population size estimates (past) and projections to 2066 ('auspop.csv') from the Australian Bureau of Statistics
Also accompanying the code are two source files with additional functions necessary to reproduce the analyses (r.squared.R & newlmerAIC_tables3.R)
Owner
- Name: Corey Bradshaw
- Login: cjabradshaw
- Kind: user
- Location: Adelaide, South Australia
- Company: Flinders University
- Website: http://globalecologyflinders.com
- Twitter: conservbytes
- Repositories: 15
- Profile: https://github.com/cjabradshaw
Matthew Flinders Professor of Global Ecology @GlobalEcologyFlinders @CABAH
GitHub Events
Total
Last Year
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Corey Bradshaw | c****w@g****m | 33 |
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0