EcoService Models Library (ESML)
Home
Search EMs
My
EMs 
Learn about
ESML
View ESML Data Maploading
Variables Details
: (EM-857)
Back
Collapse All
Expand All
- Export Data to Spreadsheet (Free Viewers)
- View Variable Relationship Diagram (PDF)(1 pp, 80 KB, About PDF)
EM Identity and Description
| EM-857 | |
|
Document Author
variable.detail.emDocumentAuthorHelp
?
|
Warren Pinnacle Consulting, Inc. |
|
Document Year
variable.detail.emDocumentYearHelp
?
|
2016 |
Variable General Info
Probability of having submerged aquatic vegetation ?Comment:Product of the optional Submerged Aquatic Vegetation 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. When this model is implemented, probability-of-SAV maps may be produced by the model in each time step. |
|
|
Variable ID
variable.detail.varIdHelp
?
|
20441 |
| PROBSAV | |
|
Qualitative-Quantitative
variable.detail.continuousCategoricalHelp
?
|
Quantitative (Cardinal Only) |
|
Cardinal-Ordinal
variable.detail.cardinalOrdinalHelp
?
|
Cardinal |
| % |
Variable Typology
Probability of having submerged aquatic vegetation ?Comment:Product of the optional Submerged Aquatic Vegetation 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. When this model is implemented, probability-of-SAV maps may be produced by the model in each time step. |
|
|
Predictor-Intermediate-Response
variable.detail.displayVariableTypeHelp
?
|
Response |
|
Predictor Variable Type
variable.detail.displayPredictorVariableTypeHelp
?
|
Not applicable |
|
Response Variable Type
variable.detail.resClassHelp
?
|
Computed Variable |
|
Data Source/Type
variable.detail.dataTypeHelp
?
|
Not applicable |
|
Variable Classification Hierarchy
variable.detail.vchLevel1Help
?
|
5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services |
|
--Biological characteristics, processes or requirements of living ecosystem components |
|
|
----Biological characteristics, processes or requirements of ecological communities |
|
|
------Near coastal marine, estuarine, and coral communities |
Variable Spatial Characteristics
Probability of having submerged aquatic vegetation ?Comment:Product of the optional Submerged Aquatic Vegetation 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. When this model is implemented, probability-of-SAV maps may be produced by the model in each time step. |
|
|
Spatial Extent Area
variable.detail.spExtentHelp
?
|
Not applicable |
|
Spatially Distributed?
variable.detail.spDistributedHelp
?
|
Yes |
|
Observations Spatially Patterned?
variable.detail.regularSpGrainHelp
?
|
Yes |
|
Spatial Grain Type
variable.detail.spGrainTypeHelp
?
|
area, for pixel or radial feature |
|
Spatial Grain Size
variable.detail.spGrainSizeHelp
?
|
user defined |
|
Spatial Density
variable.detail.spDensityHelp
?
|
Not applicable |
|
EnviroAtlas URL
variable.detail.enviroAtlasURLHelp
?
|
Variable Temporal Characteristics
Probability of having submerged aquatic vegetation ?Comment:Product of the optional Submerged Aquatic Vegetation 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. When this model is implemented, probability-of-SAV maps may be produced by the model in each time step. |
|
|
Temporal Extent
variable.detail.tempExtentHelp
?
|
Not applicable |
|
Temporally Distributed?
variable.detail.tempDistributedHelp
?
|
Yes |
|
Regular Temporal Grain?
variable.detail.regularTempGrainHelp
?
|
Yes |
|
Temporal Grain Size Value
variable.detail.tempGrainSizeValHelp
?
|
user defined |
|
Temporal Grain Size Units
variable.detail.tempGrainSizeUnitHelp
?
|
Year |
|
Temporal Density
variable.detail.tempDensityHelp
?
|
Not applicable |
Variable Values
Probability of having submerged aquatic vegetation ?Comment:Product of the optional Submerged Aquatic Vegetation 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. When this model is implemented, probability-of-SAV maps may be produced by the model in each time step. |
|
| Not applicable | |
|
Min Value
variable.detail.minEstHelp
?
|
Not applicable |
|
Max Value
variable.detail.estHelp
?
|
Not applicable |
|
Other Value Type
variable.detail.natureOtherEstHelp
?
|
Not applicable |
|
Other Value
variable.detail.otherEstHelp
?
|
Not applicable |
Variable Variability and Sensitivity
Probability of having submerged aquatic vegetation ?Comment:Product of the optional Submerged Aquatic Vegetation 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. When this model is implemented, probability-of-SAV maps may be produced by the model in each time step. |
|
|
Variability Expression Given?
variable.detail.variabilityExpHelp
?
|
Not applicable |
|
Variability Metric
variable.detail.variabilityMetricHelp
?
|
None |
|
Variability Value
variable.detail.variabilityValueHelp
?
|
None |
|
Variability Units
|
None |
|
Resampling Used?
variable.detail.bootstrappingHelp
?
|
Not applicable |
|
Variability Expression Used in Modeling?
variable.detail.variabilityUsedHelp
?
|
Not applicable |
Variable Operational Validation (Response Variables only)
| Probability of having submerged aquatic vegetation | |
|
Variable ID
variable.detail.varIdHelp
?
|
20441 |
|
Validated?
variable.detail.resValidatedHelp
?
|
Not applicable |
|
Validation Approach (within, between, etc.)
variable.detail.validationApproachHelp
?
|
None |
|
Validation Quality (Qual/Quant)
variable.detail.validationQualityHelp
?
|
None |
|
Validation Method (Stat/Deviance)
variable.detail.validationMethodHelp
?
|
None |
|
Validation Metric
variable.detail.validationMetricHelp
?
|
None |
|
Validation Value
variable.detail.validationValHelp
?
|
None |
|
Validation Units
|
None |
|
Use of Measured Response Data
variable.detail.measuredResponseDataHelp
?
|
None |