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Layer: Study #1: Muricea pendula Probability of Occurrence (ID: 206)

Parent Layer: Study #1

Name: Study #1: Muricea pendula Probability of Occurrence

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Type: Raster Layer

Geometry Type: null

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 raster representing predictions from predictive habitat modeling. The layer specifically displays predictions from the modeling study associated with the unique dataset identifier PHM000001 (Goyert et al. 2021). A Bayesian occupancy modeling framework was applied to presence-absence data to predict probability of occurrence at a spatial resolution of 100 m.

Copyright Text: Goyert HF, Bassett R, Christensen J, Coleman H, Coyne M, Etnoyer PJ, Frometa J, Hourigan TF, Poti M, Salgado EJ, Williams B, Winship AJ. 2021. Characterizing Spatial Distributions of Deep-Sea Corals and Chemosynthetic Communities in the U.S. Gulf of Mexico through Data Synthesis and Predictive Modeling, New Orleans (LA): U.S. Department of the Interior, Bureau of Ocean Energy Management. OCS Study BOEM 2021-027. 317 p.

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Supported Query Formats: JSON, geoJSON, PBF

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Supports Statistics: false

Has Labels: false

Can Modify Layer: false

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Use Standardized Queries: true

Supports Datum Transformation: true

Drawing Info: Advanced Query Capabilities:
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Type ID Field: null

Fields: None

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

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