Parent Layer:
Modeling - Study Footprints
Name: Study Area #5
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 PHM000005 (Demopoulos et al. 2018). A maximum entropy modeling framework was applied to presence-background data to predict habitat suitability at a spatial resolution of 3 m.
Copyright Text: Demopoulos AWJ, Bourque JR, Durkin A, Cordes EE. 2018. The influence of seep habitats on sediment macrofaunal biodiversity and functional traits. Deep-Sea Research Part I 142:77-93.
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Supported Query Formats: JSON, geoJSON, PBF
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Supports Statistics: true
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Extent:
XMin: -94.52909312474787
YMin: 26.359982158649757
XMax: -88.35907030814815
YMax: 27.656895496629943
Spatial Reference: 104145
(6318)
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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
)
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dat_typ
(
type: esriFieldTypeString, alias: Data type, length: 80
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rltd_rf
(
type: esriFieldTypeString, alias: Reference, length: 223
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prdctn__
(
type: esriFieldTypeString, alias: Spatial resolution, length: 80
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rspns_t
(
type: esriFieldTypeString, alias: Response data type, length: 80
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rspns_c
(
type: esriFieldTypeString, alias: Data collection method, length: 80
)
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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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