Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps

Bak, Peter; Mansmann, Florian; Janetzko, Halldor; Keim, Daniel A.

Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps

Dateien

Bak_2009_SpatiotemporalAnalysis.pdfGröße: 1.48 MBDownloads: 722

Datum

2009

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

IEEE Transactions on Visualization and Computer Graphics. 2009, 15(6), pp. 913-920. Available under: doi: 10.1109/TVCG.2009.182

Zusammenfassung

Spatiotemporal analysis of sensor logs is a challenging research field due to three facts: a) traditional two-dimensional maps do not support multiple events to occur at the same spatial location, b) three-dimensional solutions introduce ambiguity and hard to navigate, and c) map disortions to solve the overlap problem are unfamiliar to most users. This paper introduces a novel approach to represent spatial data changing over time by plotting a number of non-overlapping pixels, close to the sensor positions in a map. Thereby, we encode the amount of tome that a subject spent at a particular sensor to the number of plotted pixels. Color is used in a twoflod manner; while distinct colors distinguish between sensor nodes in different regions, the colorsintensity is used as an indicator to the temporal property of the subjects' avtivity. The resulting visualization technique, called Growth Ring Maps, enables users to find similarities ans extract patterns of interest in spatiotemporal dtaa by using humans' perceptual abilities. We demonstrate the newly introduced technique on a dataset that shows the behavior of healthy and Alzheimer transgenic, male and female mice. We motivate the new technique by showing that the temporal analysis based on hierarchical clustering and the spatial analysis based in transition matrices only reveal limited results. results and findings are cross-validated using multidimensional scaling. While the focus of this papaer is to apply our visualization for monitoring animal behavior, the technique is also applicable for analyzing dta, such as packet tracing, geographic monitoring of sales development, or mobile phone capacity planning.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

spatiotemporal visualization, visual analytics, animal behavior, dense pixel displays

Zitieren

ISO 690

BAK, Peter, Florian MANSMANN, Halldor JANETZKO, Daniel A. KEIM, 2009. Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps. In: IEEE Transactions on Visualization and Computer Graphics. 2009, 15(6), pp. 913-920. Available under: doi: 10.1109/TVCG.2009.182

BibTex

@article{Bak2009Spati-5800,
  year={2009},
  doi={10.1109/TVCG.2009.182},
  title={Spatiotemporal Analysis of Sensor Logs using Growth Ring Maps},
  number={6},
  volume={15},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  pages={913--920},
  author={Bak, Peter and Mansmann, Florian and Janetzko, Halldor and Keim, Daniel A.}
}

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Universitätsbibliographie

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