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Layer: Study Area #2 (ID: 195)

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

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

Drawing Info: Advanced Query Capabilities:
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HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Supported Operations:   Query   Query Attachments   Query Analytic   Generate Renderer   Return Updates

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