Biological and Environmental Research - Earth and Environmental System Sciences
Earth and Environmental System Modeling

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

TitleMetis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales
Publication TypeJournal Article
Year of Publication2020
JournalJournal of Open Research Software
Volume8
Abstract / Summary

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.

URLhttp://dx.doi.org/10.5334/jors.292
DOI10.5334/jors.292
Funding Program: 
Journal: Journal of Open Research Software
Year of Publication: 2020
Volume: 8
Publication Date: 03/2020

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.

DOI: 10.5334/jors.292
Citation:
Khan, Z, T Wild, C Vernon, A Miller, M Hejazi, L Clarke, F Miralles-Wilhelm, et al.  2020.  "Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales."  Journal of Open Research Software 8.  https://doi.org/10.5334/jors.292.