The use of kernel density estimation with a bio-physical model provides a method to quantify connectivity among salmon farms : spatial planning and management with epidemiological relevance
- Submitting institution
-
University of Strathclyde
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 85134101
- Type
- D - Journal article
- DOI
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10.3389/fvets.2018.00269
- Title of journal
- Frontiers in Veterinary Science
- Article number
- 269
- First page
- -
- Volume
- 5
- Issue
- -
- ISSN
- 2297-1769
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 10 - Mathematical Sciences
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Work to further validate the approach has been funded within Prof Ben-Horin’s group at the University of Rhode Island (Ben Horin) and an NSF-funded NIMBioS workshop based on these methods is being developed. The novel data-driven modelling led to a request for Revie to join the Technical Advisory Group of the Aquaculture Stewardship Council, the largest certification body for global aquaculture, where he coordinates the Metrics Methodology programme (Chris Ninnes, CEO). It also contributed to the successful award of a Norwegian research grant (£550,000; FHF-901568).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -