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Everglades Vulnerability Analysis (EVA) modeling scripts and output

Metadata Updated: January 13, 2026

The Everglades Vulnerability Analysis (EVA) is a series of connected Bayesian networks that models the landscape-scale response of indicators of Everglades ecosystem health to changes in hydrology and salinity on the landscape. Using the uncertainty built into each network, it also produces surfaces of vulnerability in relation to user-defined ‘ideal’ outcomes. This dataset includes the code used to build the modules and generate outputs of module outcome probabilities and landscape vulnerability.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date January 13, 2026
Metadata Updated Date January 13, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 13, 2026
Metadata Updated Date January 13, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_636bb6ded34ed907bf6ab9f5
Data Last Modified 2023-05-06T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 5e8e785c-84bc-4caf-914d-400787d461a3
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial -81.3894, 25.1287, -80.2686, 25.9175
Source Datajson Identifier True
Source Hash 9104f90645328ed1322b418c5923834c2b650f3ff638e72bdb774516df438c40
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -81.3894, 25.1287, -81.3894, 25.9175, -80.2686, 25.9175, -80.2686, 25.1287, -81.3894, 25.1287}

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