QFASA Robustness to Assumption Violations: Computer Code
Quantitative fatty acid signature analysis (QFASA; Iverson et al. 2004. Ecological Monographs 74:211-235) has become a common method of estimating diet composition, especially for marine mammals, but the performance of the method has received limited investigation. This software was developed to compare the bias of several QFASA estimators using computer simulation and develop recommendations regarding estimator selection (Bromaghin et al. 2015. Assessing the robustness of quantitative fatty acid signature analysis to assumption violations. Methods in Ecology and Evolution (publication expected in late 2015 or early 2016).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "U.S. Geological Survey Alaska Science Center",
"@type": "vcard:Contact",
"hasEmail": "mailto:ascweb@usgs.gov"
}
|
| description | Quantitative fatty acid signature analysis (QFASA; Iverson et al. 2004. Ecological Monographs 74:211-235) has become a common method of estimating diet composition, especially for marine mammals, but the performance of the method has received limited investigation. This software was developed to compare the bias of several QFASA estimators using computer simulation and develop recommendations regarding estimator selection (Bromaghin et al. 2015. Assessing the robustness of quantitative fatty acid signature analysis to assumption violations. Methods in Ecology and Evolution (publication expected in late 2015 or early 2016). |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "http://dx.doi.org/10.5066/F7N877TK",
"mediaType": "application/http",
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{
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"title": "Original Metadata",
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|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_ASC132 |
| keyword |
[
"Aitchison",
"Aitchison distance measure",
"Kullback-Leibler",
"Kullback-Leibler distance",
"QFASA",
"USGS:ASC132",
"bias",
"biota",
"diet composition",
"diet estimation",
"estimator robustness",
"linear mixing model",
"measure",
"model assumption violations",
"numerical optimization",
"predator-prey",
"simulation"
]
|
| modified | 2020-11-25T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| theme |
[
"Geospatial"
]
|
| title | QFASA Robustness to Assumption Violations: Computer Code |
