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dc.contributor.authorStadler, Konstantin
dc.date.accessioned2021-11-01T12:19:56Z
dc.date.available2021-11-01T12:19:56Z
dc.date.created2021-08-04T15:25:26Z
dc.date.issued2021
dc.identifier.citationJournal of Open Research Software (JORS). 2021, .en_US
dc.identifier.issn2049-9647
dc.identifier.urihttps://hdl.handle.net/11250/2826866
dc.description.abstractPymrio is an open source tool for Environmentally Extended Multi-Regional Input-Output (EE MRIO) analysis developed in Python. It provides a high-level abstraction layer for global EE MRIO databases in order to simplify common EE MRIO data tasks. Among others, Pymrio includes parsers for several openly available EE MRIO databases (EXIOBASE v1 – v3, WIOD, Eora26, OECD-ICIO) as well as methods for production and consumption based accounts calculation, aggregation, stressor origin estimation and visualization. The use of a consistent storage format including meta data and modification history for MRIOs allows to exchange data with other analysis tools, aiming for an increased interoperability of Industrial Ecology analysis software.en_US
dc.language.isoengen_US
dc.publisherUbiquity Pressen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePymrio – A Python Based Multi-Regional Input-Output Analysis Toolboxen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber11en_US
dc.source.journalJournal of Open Research Software (JORS)en_US
dc.identifier.doi10.5334/jors.251
dc.identifier.cristin1923918
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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