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Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

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Page 1: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Multivariate Hybrid Visualisation of Ornithological Sensor

Data

Richard Roberts, Dr Robert Laramee,& Dr Mark Jones

Page 2: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Introduction

Dataset

Related Work

Visualisation Design

Software Design

Visualisation Overview

Conclusions and Questions

The Next Twenty Minutes

Page 3: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Multivariate Hybrid Visualisation of Ornithological Sensor Data

Visualising a large amount of animal tracking data. Cormorant - (Shag)

Diving Sea Bird Over 40 species Wing span of 45–100 centimetres Body weight of 0.35–5 kilograms

Introduction

Page 4: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Rory Wilson – Daily Diary Data ‘The Black Box’ approach Albatross, badgers, cheetahs,

cormorants, dogs, horses, penguins, sharks, sunfish, and turtles.

Cormorant Dataset Eight Hours of data 12 Streams of data

Dataset

Page 5: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Accelerometer (X,Y, & Z) Hall Sensor - Records movements of the beak Pressure Sensor IR Sensor - Records the speed of the bird underwater. Compass (X,Y, & Z) Temperature Sensor Light Sensor Pitch & Roll Sensor VeDBA

Daily Diary

Page 6: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Grundy et al.

Geng et al.

Related Work

Page 7: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Inner ring – Pressure

Outer Ring – Energy Expenditure(VeDBA)

Visualisation Design

Page 8: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Software Design

Page 9: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Visualisation Overview

Page 10: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Isolates the required features in the data Separates the dives into their dive stages. Visualises the complete dataset in one frame

without over-plotting.

Future Work: Additional levels to the visualisation. Add a sort option to the overview. Use additional animal dataset.

Conclusions and Future Work

Page 11: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Grundy, E., Jones, M. W., Laramee, R. S., Wilson, R. P., & Shepard, E. L. (2009, June). Visualisation of sensor data from animal movement. In Computer Graphics Forum (Vol. 28, No. 3, pp. 815-822). Blackwell Publishing Ltd.

Geng, Z., Peng, Z., Laramee, R. S., Roberts, J. C., & Walker, R. (2011). Angular histograms: Frequency-based visualizations for large, high dimensional data. Visualization and Computer Graphics, IEEE Transactions on, 17(12), 2572-2580.

Wildlife Computers, (2015), Daily Diary [ONLINE]. Available at: http://wildlifecomputers.com/our-tags/daily-diary/ [Accessed 09 September 15].

JJ Harrison, (2015), Little pied cormorant [ONLINE]. Available at:https://en.wikipedia.org/wiki/Cormorant [Accessed 09 September 15].

References

Page 12: Multivariate Hybrid Visualisation of Ornithological Sensor Data Richard Roberts, Dr Robert Laramee, & Dr Mark Jones

Thanks For listening!

AnyQuestio

ns?