pycirk

Model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis.
https://github.com/CMLPlatform/pycirk

Category: Industrial Ecology
Sub Category: Input Output Model

Keywords

circular-economy economics-models eeioa environmental-modelling environmental-science scenario-creator sustainability

Last synced: about 19 hours ago
JSON representation

Repository metadata

A python package to model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis starting from mrSUTs (EXIOBASE V3.3)

Host: GitHub
URL: https://github.com/CMLPlatform/pycirk
Owner: CMLPlatform
License: other
Created: 2018-11-16T16:12:52.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2022-12-08T04:31:13.000Z (over 2 years ago)
Last Synced: 2025-04-17T20:37:13.155Z (9 days ago)
Topics: circular-economy, economics-models, eeioa, environmental-modelling, environmental-science, scenario-creator, sustainability
Language: Python
Homepage: https://pycirk.readthedocs.io/en/latest/readme.html
Size: 5.87 MB
Stars: 21
Watchers: 3
Forks: 0
Open Issues: 5
Releases: 0
Metadata Files:
- Readme: README.md
- Changelog: HISTORY.rst
- Contributing: CONTRIBUTING.rst
- License: LICENSE

pycirk

A python package to model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis starting from SUTs (EXIOBASE V3.3)

Documentation: https://pycirk.readthedocs.io/en/latest/readme.html

To cite the use of the software in your research please use the following publication:

"Modeling the circular economy in environmentally extended input-output tables: Methods, software and case study"

https://doi.org/10.1016/j.resconrec.2019.104508

Installation

Stable release

Run in your terminal:

$ pip install pycirk

From source

Clone repository:

$ git clone https://[email protected]/CML-IE/pycirk.git

$ git clone https://github.com/CMLPlatform/pycirk.git

Once you have a copy of the source, you can install it with:

$ python setup.py install

Data

You can download the biregional or multiregional database by following this link

http://doi.org/10.5281/zenodo.4695823

You need to place the data inside the package
e.g. /home/UserName/.local/lib/python3.6/site-packages/pycirk/data

Usage

Import package

import pycirk

Initialize

my_work = pycirk.Launch(method, directory, aggregation, make_secondary)

set your scenarios and analysis

Open scenarios.xls in the directory that was specified
From there you can specify interventions and parameters for the analysis
save and continue to the following steps

Run scenarios

Run one specific scenario

my_work.scenario_results(scen_no, output_dataset)
(0 = baseline)

Run all scenarios

my_work.all_results()

save scenarios

Save your results

my_work.save_results()

Use from command line

pycirk --help

Usage: pycirk [OPTIONS]

Console script for pycirk. A software to model policy and technological
interventions in Environmentally Extended Input-Output Analysis (EXIOBASE
V3.3, 2011)

Options:

Command	Variables
-tm, --transf_method TEXT	0 = PXP ITA_TC; 1 = PXP ITA_MSC
-dr, --directory TEXT	if left black it will be default
-ag, --aggregation	1 = bi-regional (EU-ROW)
	0 = None (49 regions)
-sc, --scenario TEXT	all, 1, 2,... accepted - 0=baseline
-s, --save TEXT	False=no, True=yes
-od, --output_dataset	False=no, True=yes
--help	Show this message and exit.

Command example

pycirk -tm 0 -dr "" -sc "1" -s True -od False

Features

Examples of policies that can be modelled through the software:

sharing
recycling
life extension
rebound effects
substituion
market and value added changes
efficiency

The tables in which it is possible to apply changes:

total requirement matrix (A)
intermediate transactions (Z)
final demand (Y)
primary inputs (W)
emission intermediate extentions (E)
material intermediate extensions (M)
resource intermediate extensions (R)
emission final demand extension (EY)
material final demand extension (MY)
resource final demand extensions (RY)
primary inputs coefficients (w)
emission intermediate extentions coefficients (e)
material intermediate extensions coefficients (m)
resource intermediate extensions coefficients (r)
emission final demand extension coefficients (eY)
material final demand extension coefficients (mY)
resource final demand extensions coefficients (rY)

It is possible to specify:

region of the intervention
whether the intervention affects domestic, import transactions or both

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Cookiecutter: https://github.com/audreyr/cookiecutter
audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

Owner metadata

Name: CML-IE-EB
Login: CMLPlatform
Email:
Kind: organization
Description:
Website:
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/29304416?v=4
Repositories: 4
Last ynced at: 2023-03-08T22:30:56.477Z
Profile URL: https://github.com/CMLPlatform

GitHub Events

Total

Watch event: 2

Last Year

Watch event: 2

Name	Email	Commits
fdonati	f**i@c**l	76

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 2
Total pull requests: 5
Average time to close issues: about 1 year
Average time to close pull requests: less than a minute
Total issue authors: 2
Total pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull request: 1
Bot issues: 0
Bot pull requests: 4

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/CMLPlatform/pycirk

Top Issue Authors

FDonati (1)
raffaem (1)

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FDonati (1)

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dependencies (4)

Dependencies

requirements.txt pypi

CacheControl ==0.12.6
appdirs ==1.4.3
certifi ==2019.11.28
chardet ==3.0.4
colorama ==0.4.3
contextlib2 ==0.6.0
distlib ==0.3.0
distro ==1.4.0
et-xmlfile ==1.0.1
html5lib ==1.0.1
idna ==2.8
ipaddr ==2.2.0
lockfile ==0.12.2
msgpack ==0.6.2
munch ==2.5.0
numpy ==1.20.2
openpyxl ==3.0.7
packaging ==20.3
pandas ==1.2.4
pep517 ==0.8.2
progress ==1.5
pyparsing ==2.4.6
python-dateutil ==2.8.1
pytoml ==0.1.21
pytz ==2021.1
requests ==2.22.0
retrying ==1.3.3
six ==1.14.0
urllib3 ==1.25.8
webencodings ==0.5.1

requirements_dev.txt pypi

Babel ==2.9.0 development
CacheControl ==0.12.6 development
Jinja2 ==2.11.3 development
MarkupSafe ==1.1.1 development
Pygments ==2.8.1 development
Sphinx ==3.5.4 development
alabaster ==0.7.12 development
appdirs ==1.4.3 development
certifi ==2019.11.28 development
chardet ==3.0.4 development
colorama ==0.4.3 development
contextlib2 ==0.6.0 development
distlib ==0.3.0 development
distro ==1.4.0 development
docutils ==0.16 development
et-xmlfile ==1.0.1 development
html5lib ==1.0.1 development
idna ==2.8 development
imagesize ==1.2.0 development
ipaddr ==2.2.0 development
lockfile ==0.12.2 development
msgpack ==0.6.2 development
munch ==2.5.0 development
numpy ==1.20.2 development
openpyxl ==3.0.7 development
packaging ==20.3 development
pandas ==1.2.4 development
pep517 ==0.8.2 development
progress ==1.5 development
pyparsing ==2.4.6 development
python-dateutil ==2.8.1 development
pytoml ==0.1.21 development
pytz ==2021.1 development
requests ==2.22.0 development
retrying ==1.3.3 development
six ==1.14.0 development
snowballstemmer ==2.1.0 development
sphinxcontrib-applehelp ==1.0.2 development
sphinxcontrib-devhelp ==1.0.2 development
sphinxcontrib-htmlhelp ==1.0.3 development
sphinxcontrib-jsmath ==1.0.1 development
sphinxcontrib-qthelp ==1.0.3 development
sphinxcontrib-serializinghtml ==1.1.4 development
urllib3 ==1.25.8 development
webencodings ==0.5.1 development

Score: 3.258096538021482

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pycirk

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README.md

pycirk

Installation

Stable release

From source

Data

Usage

Import package

Initialize

set your scenarios and analysis

Run scenarios

save scenarios

Use from command line

Features

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Last Year

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