Visual Analytic Design for Contextualising Sensor Data

Wood, J. (2016). Visual Analytic Design for Contextualising Sensor Data. Paper presented at the VIS 2016, 23-28 Oct 2016, Baltimore, USA.

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The design choices behind a visual analytic system for monitoring a geosensor network are described and justified. Sparse spatial but fine-grained temporal data drive the layout choices privileging temporal pattern and classified location symbolised by colour. Additional context is provided by clustering space-time signatures and ordering data by cluster size. Uncertainty in classification is reflected in interpolation of categorical colours and interaction allowing multiple mappings of high dimensional clusters onto a onedimensional ordering.

Item Type: Conference or Workshop Item (Paper)
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Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Department of Computing

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