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dc.contributor.authorLing, Mengen_US
dc.contributor.authorJohnson, Jeffrey A.en_US
dc.contributor.authorFeng, Zhiquanen_US
dc.contributor.authorChen, Jianen_US
dc.contributor.editorKarsten Rink and Dirk Zeckzer and Roxana Bujack and Stefan Jänickeen_US
dc.date.accessioned2018-06-02T18:01:52Z
dc.date.available2018-06-02T18:01:52Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-063-5
dc.identifier.urihttp://dx.doi.org/10.2312/envirvis.20181136
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/envirvis20181136
dc.description.abstractExploratory data visualization, an idea proposed by Tukey in 1977, is meant to output various types of visualization in order to make the data more understandable. While visualization researchers have generated many novel solutions to critical and complex environmental problems, to everyday environmental consultants, some practical considerations have to be made in the visualization analysis to help stakeholders generate and test hypotheses that would not be possible otherwise. We present two environmental case studies of using visualization to communicate key findings: constructing stratigraphic units (layered) and generating groundwater contaminant plumes (volumetric). These real-world cases show that many times visualization alone may not give us correct answers; often what works is the combination of visualization, domain experts' knowledge, and interpretation of the visualization solutions. The lack of any of them may lead to faulty conclusions. The first case study illustrates together how domain experts, visualization, and contamination conditions assisted in interpreting limited and ambiguous lithologic data. The second case study emphasizes conceptual and technical understanding and discusses some common factors affecting 3D interpolation, which again suggests that we must incorporate domain experts' knowledge as well as analytics into visualization for defensible decision making.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleHow To Look at Data: Environmental Practitioners' Lens Through Two Case Studiesen_US
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)
dc.description.sectionheadersHydrosphere
dc.identifier.doi10.2312/envirvis.20181136
dc.identifier.pages41-46


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