pypath-ewe
Python implementation of Ecopath with Ecosim (EwE) for food web modeling.
pypath-ewe provides a complete Python implementation of the Rpath ecosystem modeling approach, including:
- Ecopath -- mass-balance parameterization of food web models
- Ecosim -- time-dynamic simulation with forcing functions and fishing scenarios
- Ecospace -- spatially explicit ecosystem modeling with habitat maps and dispersal
- Stanza groups -- multi-stanza (age-structured) population modeling
- EcoBase / EwE database -- import models from online databases
Installation
pip install pypath-ewe
With optional dependencies:
pip install pypath-ewe[interactive] # plotly, networkx
pip install pypath-ewe[spatial] # geopandas, folium, shapely
pip install pypath-ewe[biodata] # pyworms, pyobis for species data
pip install pypath-ewe[all] # everything
Quick Start
from pypath import rpath, rsim_run, create_rpath_params
# Create a simple model
params = create_rpath_params(groups=["Phytoplankton", "Zooplankton", "Fish"], ...)
model = rpath(params)
output = rsim_run(model, years=50)
Documentation
Full documentation: https://razinkele.github.io/PyPath/
License
MIT
1 maintainer
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