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.

[img]
Preview
Text - Accepted Version
Download (1MB) | Preview

Abstract

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)
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
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/15523

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics