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Variables Details
: (EM-857)
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EM Identity and Description
| EM-857 | |
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Document Author
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Warren Pinnacle Consulting, Inc. |
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Document Year
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2016 |
Variable General Info
Probability of submerged aquatic vegetation distance to MLLW coefficient ?Comment:Parameter of the optional Submerged aquatic vegetation (SAV) module. SLAMM uses a regression relationship developed by Melanie Frazier and Patrick Clinton of U.S. EPA to describe the probability of submerged aquatic vegetation being present in a given cell. The default parameters as delivered with SLAMM 6.7 were derived using data from the Yaquina estuary in Oregon and the relationship was then validated at the Tilamook and Alsea estuaries in Oregon. |
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Variable ID
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20403 |
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C sub |
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Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
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Quantitative (Cardinal Only) |
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Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
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Cardinal |
| unitless |
Variable Typology
Probability of submerged aquatic vegetation distance to MLLW coefficient ?Comment:Parameter of the optional Submerged aquatic vegetation (SAV) module. SLAMM uses a regression relationship developed by Melanie Frazier and Patrick Clinton of U.S. EPA to describe the probability of submerged aquatic vegetation being present in a given cell. The default parameters as delivered with SLAMM 6.7 were derived using data from the Yaquina estuary in Oregon and the relationship was then validated at the Tilamook and Alsea estuaries in Oregon. |
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Predictor-Intermediate-Response
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Predictor |
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Predictor Variable Type
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Constant or Parameter |
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Response Variable Type
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Not applicable |
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Data Source/Type
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Not applicable |
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Variable Classification Hierarchy
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N. Not classified |
Variable Spatial Characteristics
Probability of submerged aquatic vegetation distance to MLLW coefficient ?Comment:Parameter of the optional Submerged aquatic vegetation (SAV) module. SLAMM uses a regression relationship developed by Melanie Frazier and Patrick Clinton of U.S. EPA to describe the probability of submerged aquatic vegetation being present in a given cell. The default parameters as delivered with SLAMM 6.7 were derived using data from the Yaquina estuary in Oregon and the relationship was then validated at the Tilamook and Alsea estuaries in Oregon. |
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Spatial Extent Area
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Not recorded for Constant or Parameter Variables |
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Spatially Distributed?
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Not recorded for Constant or Parameter Variables |
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Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
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Not recorded for Constant or Parameter Variables |
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Spatial Grain Type
variable.detail.spGrainTypeHelp
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Not recorded for Constant or Paarameter Variables |
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Spatial Grain Size
variable.detail.spGrainSizeHelp
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Not recorded for Constant or Parameter Variables |
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Spatial Density
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Not recorded for Constant or Parameter Variables |
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EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
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Variable Temporal Characteristics
Probability of submerged aquatic vegetation distance to MLLW coefficient ?Comment:Parameter of the optional Submerged aquatic vegetation (SAV) module. SLAMM uses a regression relationship developed by Melanie Frazier and Patrick Clinton of U.S. EPA to describe the probability of submerged aquatic vegetation being present in a given cell. The default parameters as delivered with SLAMM 6.7 were derived using data from the Yaquina estuary in Oregon and the relationship was then validated at the Tilamook and Alsea estuaries in Oregon. |
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Temporal Extent
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Not recorded for Constant or Parameter Variables |
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Temporally Distributed?
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Not recorded for Constant or Parameter Variables |
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Regular Temporal Grain?
variable.detail.regularTempGrainHelp
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Not recorded for Constant or Parameter Variables |
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Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
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Not recorded for Constant or Parameter Variables |
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Temporal Grain Size Units
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Not recorded for Constant or Parameter Variables |
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Temporal Density
variable.detail.tempDensityHelp
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Not recorded for Constant or Parameter Variables |
Variable Values
Probability of submerged aquatic vegetation distance to MLLW coefficient ?Comment:Parameter of the optional Submerged aquatic vegetation (SAV) module. SLAMM uses a regression relationship developed by Melanie Frazier and Patrick Clinton of U.S. EPA to describe the probability of submerged aquatic vegetation being present in a given cell. The default parameters as delivered with SLAMM 6.7 were derived using data from the Yaquina estuary in Oregon and the relationship was then validated at the Tilamook and Alsea estuaries in Oregon. |
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| Not applicable | |
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Min Value
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Not applicable |
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Max Value
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Not applicable |
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Other Value Type
variable.detail.natureOtherEstHelp
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Not applicable |
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Other Value
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Not applicable |
Variable Variability and Sensitivity
Probability of submerged aquatic vegetation distance to MLLW coefficient ?Comment:Parameter of the optional Submerged aquatic vegetation (SAV) module. SLAMM uses a regression relationship developed by Melanie Frazier and Patrick Clinton of U.S. EPA to describe the probability of submerged aquatic vegetation being present in a given cell. The default parameters as delivered with SLAMM 6.7 were derived using data from the Yaquina estuary in Oregon and the relationship was then validated at the Tilamook and Alsea estuaries in Oregon. |
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Variability Expression Given?
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Not recorded for Constant or Parameter Variables |
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Variability Metric
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None |
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Variability Value
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None |
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Variability Units
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None |
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Resampling Used?
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Not recorded for Constant or Parameter Variables |
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Variability Expression Used in Modeling?
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Not recorded for Constant or Parameter Variables |
Variable Operational Validation (Response Variables only)
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Variable ID
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Validated?
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Validation Approach (within, between, etc.)
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Validation Quality (Qual/Quant)
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Validation Method (Stat/Deviance)
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Validation Metric
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Validation Value
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Validation Units
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Use of Measured Response Data
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