{"@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", "downloadURL": "https://smarsgroup.github.io/geo_epic_win/reference/api/core/", "mediaType": "text/html", "title": "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": {"@type": "org:Organization", "name": "Agricultural Research Service"}, "temporal": "2024-06-01/2025-11-30", "title": "GeoEPIC Python Package"}