Research data supporting “Hybrid Sankey diagrams: visual analysis of multidimensional data for understanding resource use”

This data includes two example databases from the paper "Hybrid Sankey diagrams: visual analysis of multidimensional data for understanding resource use": the made-up fruit flows, and real global steel flow data from Cullen et al. (2012). It also includes the Sankey Diagram Definitions to reproduce the diagrams in the paper. The code to reproduce the figures is written in Python in the form of Jupyter notebooks. A conda environment file is included to easily set up the necessary Python packages to run the notebooks. All files are included in the "examples.zip" file. The notebook files are also uploaded standalone so they can be linked to nbviewer.

Keywords:
Sankey diagram, flow data, visualisation, Material Flow Analysis, steel

Cite this dataset as:
Lupton, R., Allwood, J., 2016. Research data supporting “Hybrid Sankey diagrams: visual analysis of multidimensional data for understanding resource use”. University of Cambridge. Available from: https://doi.org/10.17863/CAM.6038.

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Creators

Rick Lupton
University of Bath

Julian M. Allwood
University of Glasgow; University of Cambridge

Documentation

Technical details and requirements:

Format: Python Jupyter notebook (http://jupyter.org), sankeyview (https://github.com/ricklupton/sankeyview). Instructions for setting up a Conda environment with the required software are included in the zip file.

Funders

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

Material demand reduction
EP/N02351X/1

Publication details

Publication date: 24 October 2016
by: University of Cambridge

Version: 1

DOI: https://doi.org/10.17863/CAM.6038

URL for this record: https://researchdata.bath.ac.uk/id/eprint/801

Related articles

Lupton, R.C. and Allwood, J.M., 2017. Hybrid Sankey diagrams: Visual analysis of multidimensional data for understanding resource use. Resources, Conservation and Recycling, 124, pp.141-151. Available from: https://doi.org/10.1016/j.resconrec.2017.05.002.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Rick Lupton

Departments:

Faculty of Engineering & Design
Mechanical Engineering