Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales. Issue 1 (30th March 2020)

• Record Type: Journal Article
• Authors: Khan, Zarrar; Wild, Thomas; Vernon, Chris; Miller, Andy; Hejazi, Mohamad; Clarke, Leon; Miralles-Wilhelm, Fernando; Castillo, Raul Munoz; Moreda, Fekadu; Bereslawski, Julia Lacal; Suriano, Micaela; Casado, Jose
• Is Part Of: Journal of open research software. Volume 8:Issue 1(2020)
• Publication Date: 2020-03-30
• Subjects: Spatial analysis -- Sankey -- map -- nexus -- GCAM -- multi-scale -- input-output -- Metis -- multi-sector dynamics -- energy-water-land; Computer software -- Reusability -- Periodicals; Open source software -- Periodicals; 005
• DOI: 10.5334/jors.292
• Languages: English
• ISSNs: 2049-9647

Abstract

Metis was developed to allow users to analyze regional and sub-regional multi-sector dynamics by providing a platform to harmonize and amalgamate data from different models and stakeholders operating at variable spatial scales. Metis is an open-source R package hosted on GitHub. Metis functions collectively allow users to compare, manipulate, and harmonize multi-sector data at user-specified spatial scales, and to identify and quantify sectoral inter-linkages. Each Metis function can also be used independently to support an array of other research applications, such as spatial analysis and data visualization.