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

Autor: Raúl Muñoz Castillo, Fernando Miralles-Wilhelm, Leon Clarke, Zarrar Khan, Julia Lacal Bereslawski, Chris R. Vernon, Mohamad Hejazi, Jose Casado, Fekadu Moreda, Andy Miller, Thomas Wild, Micaela Suriano
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Open Research Software, Vol 8, Iss 1 (2020)
Journal of Open Research Software; Vol 8, No 1 (2020); 10
ISSN: 2049-9647
Popis: 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.
Databáze: OpenAIRE