supporting the visual analysis of the behaviour of gulls

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Supporting the Visual Analysis of the Behaviour of Gulls Aidan Slingsby (City University London) (hosted by Emiel van Loon, University of Amsterdam) Short Term Scientific Mission COST-STSM-IC0903- 7590

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Supporting the Visual Analysis of the Behaviour of Gulls. Aidan Slingsby (City University London) (hosted by Emiel van Loon, University of Amsterdam). Short Term Scientific Mission COST-STSM-IC0903-7590. User- centred process. Current practice. - PowerPoint PPT Presentation

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Page 1: Supporting the Visual  Analysis of the  Behaviour of Gulls

Supporting the Visual Analysisof the Behaviour of Gulls

Aidan Slingsby (City University London)(hosted by Emiel van Loon, University of Amsterdam)

Short Term Scientific Mission COST-STSM-IC0903-7590

Page 2: Supporting the Visual  Analysis of the  Behaviour of Gulls

User-centred process

Page 3: Supporting the Visual  Analysis of the  Behaviour of Gulls

Current practice

Already extensive use of interactive visualisationMatlab/RCustom Google Earth based tool

Shortcomings (Google Earth based tool)Cumbersome filteringTime and space doesn’t link together wellCannot produce density estimatesDifficult to explore by over time and by day/weekCannot load many data

Page 4: Supporting the Visual  Analysis of the  Behaviour of Gulls

Visualisation awareness

Page 5: Supporting the Visual  Analysis of the  Behaviour of Gulls

Initial Requirements

High-resolution maps/aerial imageryDensity estimatesExplore over time, day/week and sunrise/sunsetLoad many data pointsBe able to query individual data valuesLoad any data in agreed data format

Page 6: Supporting the Visual  Analysis of the  Behaviour of Gulls

Initial tasks

Infer behaviour along its trackIdentify revisited locations, where and whenRecognise temporal cyclesExtrapolate trajectories (based on heading/wind)Identify home ranges.Identify key places/timesFind out long birds stay somewhereAnalyse resource use and time expenditure

Page 7: Supporting the Visual  Analysis of the  Behaviour of Gulls

Prototype

Live demoSimilar to https://vimeo.com/71347204)

Page 8: Supporting the Visual  Analysis of the  Behaviour of Gulls

Functionality, ranked by utility

1. Zoomable timeline2. Hour/day/year lines on

the timeline3. GPS points coloured by

individual4. Persistent highlighting5. Satellite imagery6. Save view with comments

7. Time relative to sunrise/sunsets

8. Speed, temperature and distance from nest on timeline

9. Attribute selection10. Helpscreen

Page 9: Supporting the Visual  Analysis of the  Behaviour of Gulls

Tasks, ranked by (perceived) success

1. Identify revisited locations, where and when2. Find out long birds stay somewhere3. Recognise temporal cycles4. Identify home ranges5. Identify key places/times6. Infer behaviour along its track

Page 10: Supporting the Visual  Analysis of the  Behaviour of Gulls

3 months later…

Page 11: Supporting the Visual  Analysis of the  Behaviour of Gulls

Task evaluation scores

Page 12: Supporting the Visual  Analysis of the  Behaviour of Gulls

Outcomes

Helped validate and improve our user-centred processResulted in a tool that the group still use for exploring new dataResulted in a code-base that has been extensively used on other projectsHas already resulted in further funded work between the two groups and we have plans to carry on working together

Page 13: Supporting the Visual  Analysis of the  Behaviour of Gulls

Acknowledgements

Thanks to:staff at IBED, particularly Emiel van Loon, Judy Shamoun-Baranes, Adriaan Dokter and Willem BoutenMOVE-COST for funding this Short Term Scientific Mission (COST-STSM-IC0903-7590).