GeoEPIC Python Package
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1 resource available
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https://smarsgroup.github.io/geo_epic_win/reference/api/core/
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "005:18" ] |
| contactPoint |
{ "fn": "Bandaru, Varaprasad", "hasEmail": "mailto:prasad.bandaru@usda.gov" } |
| description | <p dir="ltr">The Environmental Policy Integrated Climate (EPIC) model is a comprehensive, field-scale agroecosystem model widely used for both diagnostic and prognostic analyses in agriculture. However, its application at regional scales is limited due to its original design to simulate a limited number of fields. Custom Python or R scripts have attempted to scale EPIC, but they are often inefficient, non-standardized, and not publicly available. To address these issues, a comprehensive Python package, named as GeoEPIC, that streamlines spatial EPIC implementation. GeoEPIC automates input generation from spatial datasets, model calibration, simulation execution, and output post-processing.</p> |
| distribution |
[ { "@type": "dcat:Distribution", "title": "https://smarsgroup.github.io/geo_epic_win/reference/api/core/", "mediaType": "text/html", "downloadURL": "https://smarsgroup.github.io/geo_epic_win/reference/api/core/" } ] |
| identifier | 10779/USDA.ADC.31151371.v1 |
| keyword |
[ "EPIC crop model", "Python", "Spatial Modeling Approach" ] |
| license | https://opensource.org/license/BSD-3-Clause |
| modified | 2026-04-03 |
| programCode |
[ "005:040" ] |
| publisher |
{ "name": "Agricultural Research Service", "@type": "org:Organization" } |
| temporal | 2024-06-01/2025-11-30 |
| title | GeoEPIC Python Package |