Layers:

Layer: GRSM_MAXENT_WETLANDS (0)


Name: GRSM_MAXENT_WETLANDS

Display Field: Id

Type: Feature Layer

Geometry Type: esriGeometryPolygon

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

Min. Scale: 0

Max. Scale: 0

Default Visibility: true

Max Record Count: 4000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

Extent:

XMin: -84.0047440313692
YMin: 35.42259770884
XMax: -83.0378806692322
YMax: 35.7895727832685
Spatial Reference: 4326 (4326)


Drawing Info:

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Object ID Field: OBJECTID

Unique ID Field:

Name : OBJECTID

IsSystemMaintained : True


Global ID Field:

Type ID Field: gridcode

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Is Data Versioned: false

Has Contingent Values: false

Supports Rollback On Failure Parameter: true

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