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A visual analytics framework to study honey bee behaviour


Engelke, U and Marendy, P and Susanto, F and Williams, R and Mahbub, S and Nguyen, H and De Souza, P, A visual analytics framework to study honey bee behaviour, Proceedings from the Second IEEE International Conference on Data Science and Systems, 12-14 December 2016, Sydney, Australia, pp. 1504-1511. ISBN 9781509042975 (2017) [Refereed Conference Paper]

Copyright Statement

Copyright 2016 IEEE

DOI: doi:10.1109/HPCC-SmartCity-DSS.2016.54


We present an end-to-end visual analytics framework that aims to facilitate prediction and decision making about honey bee health based on micro sensing data. The framework is particularly tailored to cope with heterogeneous data from micro sensors and environmental sensors that are deployed to collect information about bees and their environment. The framework design allows for a wide range of end users, including scientists, bee keepers, and decision makers, to effectively explore the bee data through interactive visual interfaces. User centred design is deployed throughout the development to meet the various requirements of the users. A large scale study is being planned to evaluate and further refine the framework based on user experiences.

Item Details

Item Type:Refereed Conference Paper
Keywords:information visualisation, modelling, user interface, visual analytics
Research Division:Biological Sciences
Research Group:Zoology
Research Field:Invertebrate biology
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the environmental sciences
UTAS Author:Marendy, P (Dr Peter Marendy)
UTAS Author:Williams, R (Dr Ray Williams)
ID Code:126973
Year Published:2017
Web of Science® Times Cited:6
Deposited By:Information and Communication Technology
Deposited On:2018-07-05
Last Modified:2018-08-06

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