Metis – A Tool to harmonize and analyze multi-sectoral data and linkages at variable spatial scales

Fekadu Game Moreda; Zarrar Khan; Thomas Wild; Chris Vernon; Andy Miller; Mohamad Hejazi; Leon Clarke; Fernando Miralles-Wilhelm; Raul Munoz Castillo; Fekadu Game Moreda; Julia Lacal Bereslawski; Micaela Suriano; Jose Casado

Metis – A Tool to harmonize and analyze multi-sectoral data and linkages at variable spatial scales

Khan, Z., Wild, T., Vernon, C., Miller, A., Hejazi, M., Clarke, L., Miralles-wilhelm, F., Castillo, R. M., Moreda, F., Bereslawski, J. L., Suriano, M., & Casado, J. (2020). Metis – A Tool to harmonize and analyze multi-sectoral data and linkages at variable spatial scales. Journal of Open Research Software, 8(1), 10. https://doi.org/10.5334/jors.292

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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.