iomb is an open source Python library for creating environmentally
extended input-output models (EEIO models) from CSV files in a simple
data format. It includes functions to calculate
different result types (e.g. life cycle assessment results, direct and
upstream contributions, etc.) from such models and convert them into
JSON-LD data packages
that can be imported into openLCA.
iomb is tested with Python 3.5 but
should also work with older versions of Python 3. The easiest way to
install the package is to do so using pip, which is generally
packaged with a Python installation. Open up the command line and enter:
pip install IO-Model-Builder
This will also install the dependencies of the IO-Model-Builder
(NumPy,
pandas, and
matplotlib) if required. After this you
should be able to use the iomb package in your Python code. To
uninstall the package, you can again use pip from the command line:
pip uninstall IO-Model-Builder
You can find a more detailed example here in
form of a Jupyter notebook which is a
convenient way to use iomb. The following script shows the basic
usage of iomb. For detailed information about the data format see
the data format specification
import iomb
# optionally show all logging information of iomb
iomb.log_all()
# create a direct requirements coefficients matrix from a supply and use table
# and save it to a CSV file
drc = iomb.coefficients_from_sut('supply_table.csv', 'use_table.csv')
drc.to_csv('drc.csv')
# create an EEIO model from a coefficients matrix, satellite tables, and a
# LCIA method
model = iomb.make_model('drc.csv',
['satellite_table1.csv', 'satellite_table2.csv'],
"sector_meta_data.csv",
['LCIA_factors1.csv', 'LCIA_factors1.csv'])
# validate the model
import iomb.validation as val
vr = validation.validate(model)
print(vr)
# calculate results for a given demand
result = iomb.calculate(model, {'1111a0/oilseed farming/us': 1})
print(result.total_result)
# export the model to a JSON-LD package
import iomb.olca as olca
olca.Export(model).to('model_as_json-ld.zip')This project is in the worldwide public domain, released under the CC0 1.0 Universal Public Domain Dedication.
Public Domain Dedication
Please cite as: Srocka, M. and W. Ingwersen (2017). IO Model Builder, v1.1 (or current version). US Environmental Protection Agency. https://www.github.com/usepa/io-model-builder
A brief description of the iomb is also included in: Yang, Y., Ingwersen, W.W., Hawkins, T.R., Srocka, M., Meyer, D.E., 2017. USEEIO: A New and Transparent United States Environmentally-Extended Input-Output Model. Journal of Cleaner Production 158, 308-318. DOI: 10.1016/j.jclepro.2017.04.150