pypath-ewe 0.3.0

Python implementation of Ecopath with Ecosim (EwE) for food web modeling

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