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Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales Cover

Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales

Open Access
|Mar 2020

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.

 

Funding statement: This research was supported by the U.S. Department of Energy, Office of Science, as part of research in Multi-Sector Dynamics, Earth and Environmental System Modeling Program. The Pacific Northwest National Laboratory is operated for DOE by Battelle Memorial Institute under contract DE-AC05-76RL01830.

DOI: https://doi.org/10.5334/jors.292 | Journal eISSN: 2049-9647
Language: English
Submitted on: Aug 14, 2019
Accepted on: Mar 6, 2020
Published on: Mar 30, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Zarrar Khan, Thomas Wild, Chris Vernon, Andy Miller, Mohamad Hejazi, Leon Clarke, Fernando Miralles-Wilhelm, Raul Munoz Castillo, Fekadu Moreda, Julia Lacal Bereslawski, Micaela Suriano, Jose Casado, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.