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Last updated on Thursday, November 16, 2023
@article{Carro2022EnvironmentModelling,
author = {Gustavo Carro and Olivier Schalm and Werner Jacobs and
Serge Demeyer},
journal = {Environmental Modelling and Software},
month = jan,
pages = {105230},
title = {Exploring actionable visualizations for environmental
data: Air quality assessment of two Belgian
locations},
volume = {147},
year = {2022},
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 information
from 9 different Air Quality Indices (AQIs) on
different kinds of graphs. The visualization methods
are applied on data collected by the Belgian
Environment Agency from two monitoring stations
located in contrasting regions, Ghent and Vielsalm.
Supplementary, spatially distributed pollution is
shown using data collected from Sentinel-5p
satellite. Despite some limitations of the AQIs, the
applied visualizations methods successfully translate
the data obtained into actionable information.},
annote = {internationaljournal},
doi = {10.1016/j.envsoft.2021.105230},
issn = {1364-8152},
}