Journal of Open Research Software (Mar 2020)

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

  • 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

DOI
https://doi.org/10.5334/jors.292
Journal volume & issue
Vol. 8, no. 1

Abstract

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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.

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