Name: GRSM_MAXENT_WETLANDS

Display Field: Id

Type: Feature Layer

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Description: I&M Staff in conjunction with a University of Tennessee graduate student developed maximum entropy (specifically the program MaxEnt) distribution models to predict wetland occurrence. Because MaxEnt is able to account for interactions among landscape features and climate variables, it is an ideal modeling approach for predicting the probability of finding a wetland across the park’s complex topography. Model outputs were based on 24 environmental variables (e.g., slope, microtopography, rainfall, etc.) at a 30x30 m grid cell resolution.

Copyright Text: Great Smoky Mountains National Park

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Max Record Count: 4000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

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Spatial Reference: 4326 (4326)

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Object ID Field: OBJECTID

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Last Edit Date: 5/7/2018 5:30:06 PM

Schema Last Edit Date: 5/7/2018 5:30:06 PM

Data Last Edit Date: 5/7/2018 5:30:06 PM

Supported Operations:   Query   Query Top Features   Query Analytic   Query Bins   Generate Renderer   Validate SQL   Get Estimates   ConvertFormat