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EverSparrow model scripts and outputs
EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of environmental factors and CSSS presence. Using hydrologic conditions such as mean 4-year hydroperiod and maximum depth, fire occurrence history, and vegetation structure throughout the range of CSSS, EverSparrow provides weekly probabilities of CSSS presence on a 400 x 400 m grid. Here we provide the modeling scripts used to develop EverSparrow (including the frequentist model developed and included in the ensemble model), the validation scripts, a script to run the EverSparrow model and create predicted surfaces of CSSS probability of presence, and a netcdf showing predicted probability of presence from 1995 through 2020. For full details of the model development process, see Larger Work citation.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Saira M. Haider",
"@type": "vcard:Contact",
"hasEmail": "mailto:shaider@usgs.gov"
}
|
| description | EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of environmental factors and CSSS presence. Using hydrologic conditions such as mean 4-year hydroperiod and maximum depth, fire occurrence history, and vegetation structure throughout the range of CSSS, EverSparrow provides weekly probabilities of CSSS presence on a 400 x 400 m grid. Here we provide the modeling scripts used to develop EverSparrow (including the frequentist model developed and included in the ensemble model), the validation scripts, a script to run the EverSparrow model and create predicted surfaces of CSSS probability of presence, and a netcdf showing predicted probability of presence from 1995 through 2020. For full details of the model development process, see Larger Work citation. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9VNZH7I",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.611c57f1d34e40dd9c00029b.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_611c57f1d34e40dd9c00029b |
| keyword |
[
"Everglades",
"Southern Florida",
"USGS-EMA-LOW-SB T&E: Listed birds",
"USGS:611c57f1d34e40dd9c00029b",
"decision support methods",
"endangered species",
"statistical modeling",
"wetland restoration"
]
|
| modified | 2021-10-08T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -81.2741, 25.1229, -80.4199, 25.7653 |
| theme |
[
"geospatial"
]
|
| title | EverSparrow model scripts and outputs |
