Structuring Complex Results using Network Maps and Hierarchical Charts

Chloe Annelies Lanters, Peter Fantke*

*Corresponding author for this work

    Research output: Contribution to journalConference articleResearchpeer-review

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    Results from quantitative exposure and life cycle assessments are often complex, rendering their interpretation and communication to non-experts difficult. However, such data can be disaggregated and structured using visualization techniques to increase their interpretability. We present a simple, interactive tool that allows disaggregating data according to user preferences and flexibly visualizing these data in quantitative network maps and hierarchical column charts. We show in a case study on a chemical in flooring that our tool can help users to rapidly identify exposure hot-spots and trace back related pathways. Our tool can be applied to various types of results from chemical substitution, life cycle impact assessment, and high-throughput risk screening to improve decision support by better results interpretation and communication.
    Original languageEnglish
    JournalProcedia CIRP
    Pages (from-to)441-446
    Publication statusPublished - 2018
    Event25th CIRP Life Cycle Engineering (LCE) Conference - Copenhagen, Denmark
    Duration: 30 Apr 20182 May 2018
    Conference number: 25


    Conference25th CIRP Life Cycle Engineering (LCE) Conference
    Internet address


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