GeoEPIC: A comprehensive python package for spatial implementation of EPIC crop simulation model

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, we developed GeoEPIC, a comprehensive Python package that streamlines spatial EPIC implementation. GeoEPIC automates input generation from spatial datasets, model calibration, simulation execution, and output post-processing. This paper introduces GeoEPIC’s structure and functionality through illustrative examples demonstrating its application for crop yield estimation and simulating water use in irrigated soybean systems in Nebraska.