Exploring actionable visualizations for environmental data : air quality assessment of two Belgian locations
Abstract: Organizations collect an ever-increasing amount of data concerning environmental parameters. Non-experts may be confronted with an information overload, making the data meaningless. A way to circumvent this problem is visualizing the trends in the pollution concentrations measured over time. However, non-experts do not have a mental model to derive air quality information from displayed concentration profiles. Therefore, a large fraction of the stakeholders remains unable to read/interpret such data effectively. To improve communication with stakeholders, we superposed health risk in... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2021 |
Schlagwörter: | Chemistry / Biology / Engineering sciences. Technology / Computer. Automation |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28877326 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/10067/1831910151162165141 |