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

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.

Authors:
 [1];  [2];  [1];  [3];  [2];  [2];  [2];  [4];  [5];  [4];  [6];  [6]
  1. Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research inst.
  2. Pacific Northwest National Lab. (PNNL), College Park, MD (United States). Joint Global Change Research inst.; Univ. of Maryland, College Park, MD (United States)
  3. National Peace Corps Association, Washington, DC (United States)
  4. Inter-American Development Bank, Washington, DC (United States)
  5. Research Triangle Inst. (RTI), Research Triangle Park, NC (United States)
  6. Instituto Nacional del Agua (INA), Buenos Aires (Argentina)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1646630
Report Number(s):
PNNL-SA-146642
Journal ID: ISSN 2049-9647
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Open Research Software
Additional Journal Information:
Journal Volume: 8; Journal Issue: 1; Journal ID: ISSN 2049-9647
Publisher:
Software Sustainability Institute
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Khan, Zarrar, Wild, Thomas B., Vernon, Christopher R., Miller, Andrew, Hejazi, Mohamad I., Clarke, Leon E., Miralles-Wilhelm, Fernando R., Muñoz Castillo, Raúl, Moreda, Fekadu, Lacal Bereslawski, Julia C., Suriana, Micaela, and Casado, Jose. Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales. United States: N. p., 2020. Web. https://doi.org/10.5334/jors.292.
Khan, Zarrar, Wild, Thomas B., Vernon, Christopher R., Miller, Andrew, Hejazi, Mohamad I., Clarke, Leon E., Miralles-Wilhelm, Fernando R., Muñoz Castillo, Raúl, Moreda, Fekadu, Lacal Bereslawski, Julia C., Suriana, Micaela, & Casado, Jose. Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales. United States. https://doi.org/10.5334/jors.292
Khan, Zarrar, Wild, Thomas B., Vernon, Christopher R., Miller, Andrew, Hejazi, Mohamad I., Clarke, Leon E., Miralles-Wilhelm, Fernando R., Muñoz Castillo, Raúl, Moreda, Fekadu, Lacal Bereslawski, Julia C., Suriana, Micaela, and Casado, Jose. Mon . "Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales". United States. https://doi.org/10.5334/jors.292. https://www.osti.gov/servlets/purl/1646630.
@article{osti_1646630,
title = {Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales},
author = {Khan, Zarrar and Wild, Thomas B. and Vernon, Christopher R. and Miller, Andrew and Hejazi, Mohamad I. and Clarke, Leon E. and Miralles-Wilhelm, Fernando R. and Muñoz Castillo, Raúl and Moreda, Fekadu and Lacal Bereslawski, Julia C. and Suriana, Micaela and Casado, Jose},
abstractNote = {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},
journal = {Journal of Open Research Software},
number = 1,
volume = 8,
place = {United States},
year = {2020},
month = {3}
}

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