Visualisation of Animal Tracking Data
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Transcript of Visualisation of Animal Tracking Data
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Visualisation of Animal Tracking DataJames Walker
BCUR - 19.04.11
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Introduction to Data
Visualisation
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What is Data Visualisation?• A tool that allows the user to gain insight into
data. e.g. a graph
• Visualisation used on a day to day basis – Weather, maps... Etc.
• Data set sizes are ever-increasing making a graphical approach necessary.Data explosion!
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• Abstract Data▫ Any data from a database!▫ Doesn’t exist in a spatial domain –
Our job to place it in space.
Information Visualisation
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Visualisation of Animal Tracking
Data
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Motivation•Biologists at
Swansea University use animal tracking devices
•Record real animal movement
•Some animals are not observable especially underwater (even with GPS!)Device attached to a penguin
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How does it work?•Contain tri-axel
accelerometers •Accelerometer data can be
used to extract▫Orientation▫Movement vector
Its hard to extract these!!•Contain a tri-axel compass
– Used for determining an animals headingA Daily Diary
device
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Devices contd...•Contain sensors to
determine the locale environment. Such as:▫Temperature▫Pressure▫Light intensity▫and More! Up to 13
sensors...•Small – About the size of a
match box.•Can record data for up to
4 days.
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Benefits• Indirectly observe animals• Discover new animal behaviours (example)• Gain more insight into animals – Energy
expenditure
Whale Shark – Previously couldn’t be observed
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Data AnalysisData from a Bird displayed on time intensity plots:
•Wave patterns represent animal activity•Typically 5 plots combined to determine a behaviour•Showing approx 1,000 data items – Data set consists
of 800,000 items. 800 Slides to analyse
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The Problem...•Hard to combine several data attributes
and translate into an animal movement•Relies on the skill on biologist to extract
data from plots – Need years of experience
•Error prone!
Data sets can contain over a million entries.This is a massive challenge to biologists!
Large 2D time plots take a long time to analyse. Potentially days!
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Our Solution!
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Project Aims•Make data analysis less reliant on skill of
biologists.▫ Intuitive visual metaphors for perceiving the data.
•Combine multiple attributes together into one visualisation.▫ More knowledge based experience.
•Enable pattern finding capabilities.▫ Gain more knowledge from the data – Common
animal orientations.•Quicker data analysis.
▫ Assisting biologists in identifying areas of interest.
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Demo of Solution
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Project Aims - Recap•Make data analysis less reliant on skill of
biologists.▫ Visual metaphors for perceiving the data.
•Combine multiple attributes together into one visualisation.▫ More knowledge based experience.
•Enable pattern finding capabilities.▫ Gain more knowledge from the data – Common
animal orientations.•Quicker data analysis.
▫ Assisting biologists in identifying areas of interest.
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Future WorkBiologists are currently working on a virtual reality software. Animal is mapped into Google Earth Environment – Location can be inferred from compass data, conditions can be set using environment sensors.
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Conclusion• This new technology is pushing the frontiers of
research into animal behaviour. New discoveries have already been made (e.g. Whale Shark).
• Aims have been achieved to enabled a better and more knowledgeable experience in data analysis.
• Important research area as indirectly observing animals is a key problem in many animal research areas.
• Firm belief that as Daily Diary devices get smaller and more advanced they will becoming more prevalent.
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AcknowledgementsImages:1. Rolex Awards/Jürgen Freund
URL: http://rolexawards.com/en/the-laureates/rorywilson-home.jsp2. Conservation Magazine - Vol. 8, No. 1
URL: http://www.conservationmagazine.org/2008/07/wildlife-flight-recorder/
Research Papers:3. Visualisation of Sensor Data from Animal Movement
Edward Grundy2. Identification of animal movement patterns using tri-axial
accelerometryEmily Shepard
Supervisor:3. Bob Laramee