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!
Abstract Data ▫Any data from a database! ▫Doesn’t exist in a spatial domain – Our job to place it in space. Information Visualisation
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
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 heading A Daily Diary device
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.
Benefits Indirectly observe animals Discover new animal behaviours (example) Gain more insight into animals – Energy expenditure Whale Shark – Previously couldn’t be observed
Data Analysis Data 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
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!
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.
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.
Future Work Biologists 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.
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.
Acknowledgements Images: 1. Rolex Awards/Jürgen Freund URL: http://rolexawards.com/en/the-laureates/rorywilson-home.jsphttp://rolexawards.com/en/the-laureates/rorywilson-home.jsp 2.Conservation Magazine - Vol. 8, No. 1 URL: http://www.conservationmagazine.org/2008/07/wildlife-flight-recorder/http://www.conservationmagazine.org/2008/07/wildlife-flight-recorder/ Research Papers: 1.Visualisation of Sensor Data from Animal Movement Edward Grundy 2.Identification of animal movement patterns using tri-axial accelerometry Emily Shepard Supervisor: 1.Bob Laramee