industrial-ecology
There are 3 repositories under industrial-ecology topic.
MaximeAgez / pylcaio
A Python class to hybridize lifecycle assessment (LCA) and environmentally extended input-output (EEIO) databases.
Language:Python 37IndEcol / IE_data_commons
Code and documentation for a commons of structured industrial ecology data
Language:Python 20nheeren / material_intensity_db
Material intensity database for research on infrastructure systems
Language:TeX 19CIRAIG / OpenIO-Canada
Module to create symmetric Environmentally Extended Input-Output tables for Canada.
Language:Python 18Public repository documenting the development of open science procedures and structures for industrial ecology, loosely connected to the Data Transparency Task Force (DTTF) of the International Society for Industrial Ecology (ISIE)
Module to automate mapping of classifications based on machine learning word association.
Language:Python 5A collection of tools to interact with the Industrial Ecology Data Commons project
Language:Python 3majeau-bettez / LiSET
Clustering tools for the Lifecycle Screening of Emerging Technology (LiSET) framework
Language:Python 3andrea-ballatore / litter-dynamics
Urban litter, such as cans, packaging, and cigarettes, has significant impacts and yet little is known about its spatio-temporal distribution, with little available data. In contexts of data scarcity, crowdsourcing provides a low-cost approach to collecting a large amount of geo-referenced data. We consider 1.7 million litter observations in the Netherlands, collected by the crowdmapping project Litterati. First, we analyze the biases of this data at the province and municipality level. Second, in a local case study with high-quality data (the city of Purmerend), we investigate the spatial distribution of urban litter and the points of interest that attract it. This study’s findings can support both the crowdmapping process, steering volunteers efforts, and policy-making to tackle litter at the urban level.