Mohammad Amin Tahavori, Nicolò Golinucci, Lorenzo Rinaldi, Matteo Vincenzo Rocco, Emanuela Colombo
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引用次数: 0
摘要
MARIO (Multi-Regional Analysis of Regions through Input-Output)是一个基于python的框架,用于构建投入-产出模型。它可以自动解析知名数据库(例如EXIOBASE, EORA, Eurostat)和定制表。相对于类似的工具,如pymrio,它将应用范围扩大到供应-使用表,并处理货币和物理单位。它采用直观的基于excel的API,便于高级表操作,并允许通过混合LCA方法建模额外的供应链。它为足迹和场景分析以及模型结果的可视化提供了内置功能。结果可以导出为各种格式,还可以通过跟踪应用更改的完整历史记录的元数据文件进行补充。马里奥带有广泛的文档,可在Zenodo, GitHub上使用,或通过PyPI安装。
MARIO: A Versatile and User-Friendly Software for Building Input-Output Models
MARIO (Multi-Regional Analysis of Regions through Input-Output) is a Python-based framework for building input-output models. It automates the parsing of well-known databases (e.g. EXIOBASE, EORA, Eurostat) and of customized tables. With respect to similar tools, like pymrio, it broadens the scope of application to supply-use tables and handles both monetary and physical units. Employing an intuitive Excel-based API, it facilitates advanced table manipulations and allows for modelling additional supply chains through a hybrid LCA approach. It provides built-in functions for footprinting and scenario analyses as well as for visualizations of model outcomes. Results are exportable into various formats, possibly supplemented by a metadata file tracking the full history of applied changes. MARIO comes with extensive documentation and is available on Zenodo, GitHub, or installable via PyPI.