Parent Layer:
Modeling - Study Footprints
Name: Study Area #2
Display Field: MDBC_ID
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This item is part of the predictive habitat modeling component of the MDBC seafloor mapping, ground-truthing, and predictive habitat modeling inventory. It is a feature class representing the footprint of predictive habitat modeling. The layer specifically displays the area of predictions for the modeling study associated with the unique dataset identifier PHM000002 (Sterne et al. 2020). A maximum entropy and multinomial logistic regression modeling framework was applied to presence-background data to predict most likely habitat type at a spatial resolution of 10 m.
Copyright Text: Sterne TK, Retchless D, Allee R, Highfield W. 2020. Predictive modelling of mesophotic habitats in the north-western Gulf of Mexico. Aquatic Conserv.: Mar. Freshw. Ecosyst. 30:846-859.
Default Visibility: false
MaxRecordCount: 2000
Supported Query Formats: JSON, geoJSON, PBF
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Supports Advanced Queries: true
Supports Statistics: true
Has Labels: false
Can Modify Layer: true
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Use Standardized Queries: true
Supports Datum Transformation: true
Extent:
XMin: -94.30163543992359
YMin: 27.74364785946119
XMax: -91.90253580997961
YMax: 28.366163851580552
Spatial Reference: 104145
(6318)
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Supports Binning LOD: false
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Has Attachments: false
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Type ID Field: null
Fields:
-
OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
MDBC_ID
(
type: esriFieldTypeString, alias: MDBC ID, length: 80
)
-
dat_typ
(
type: esriFieldTypeString, alias: Data type, length: 80
)
-
rltd_rf
(
type: esriFieldTypeString, alias: Reference, length: 217
)
-
prdctn__
(
type: esriFieldTypeString, alias: Spatial resolution, length: 80
)
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rspns_t
(
type: esriFieldTypeString, alias: Response data type, length: 80
)
-
rspns_c
(
type: esriFieldTypeString, alias: Data collection method, length: 80
)
-
md_frmw
(
type: esriFieldTypeString, alias: Modeling framework, length: 80
)
-
md_prf_mth
(
type: esriFieldTypeString, alias: Model performance evaluation, length: 80
)
-
prdctn_n
(
type: esriFieldTypeString, alias: Estimated prediction uncertainty, length: 80
)
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