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Large Mid Columbia Spatial Stream Data
This is the Mid Columbia stream network used in the application section of the journal article.
This dataset is associated with the following publication:
Ver Hoef, J., M. Dumelle, M. Higham, E. Peterson, and D. Isaak. Indexing and Partitioning the Spatial Linear Model for Large Data Sets. PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(11): e0291906, (2023).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Michael Dumelle",
"hasEmail": "mailto:dumelle.michael@epa.gov"
}
|
| description | This is the Mid Columbia stream network used in the application section of the journal article. This dataset is associated with the following publication: Ver Hoef, J., M. Dumelle, M. Higham, E. Peterson, and D. Isaak. Indexing and Partitioning the Spatial Linear Model for Large Data Sets. PLOS ONE. Public Library of Science, San Francisco, CA, USA, 18(11): e0291906, (2023). |
| distribution |
[
{
"title": "https://github.com/jayverhoef/midColumbiaLSN",
"accessURL": "https://github.com/jayverhoef/midColumbiaLSN"
}
]
|
| identifier | https://doi.org/10.23719/1529840 |
| keyword |
[
"Big Data",
"Correlation",
"Stream Network",
"spatial data",
"statistical model"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2023-11-14 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1371/journal.pone.0291906",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619847"
]
|
| rights |
null
|
| title | Large Mid Columbia Spatial Stream Data |
