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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.


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.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
School of Science & Technology > Computer Science > giCentre
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