Re∗∗sults 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.
Lanters, C. A., & Fantke, P. (2018). Structuring Complex Results using Network Maps and Hierarchical Charts. In Procedia CIRP (Vol. 69, pp. 441–446). Elsevier B.V. https://doi.org/10.1016/j.procir.2017.11.147