Towards Embodied Interaction for Geospatial Energy Sector Analytics in Immersive Environments. Cunningham, A., Hart, J. D., Engelke, U., Adcock, M., & Thomas, B. H. In Proceedings of the Twelfth ACM International Conference on Future Energy Systems, of e-Energy '21, pages 396–400, New York, NY, USA, 2021. Association for Computing Machinery. Paper doi abstract bibtex We present a tool for immersive analysis of spatial energy data. The tool is built on ImAxes, which was designed for immersive analytics of abstract data in virtual environments, and extends it with a geospatial layer that allows for iterative and collaborative sensemaking. We developed new interaction techniques that enable the user to freely choose data variables, combine them into charts, and use filters and data lenses to create interactive visualisations grounded in a map. Fusion between various separate data sources can take place directly in the hands of the humans who need to understand and explore it. In this paper, we describe the system development and present a use case scenario with data from Australia's National Energy Analytics Research Program.
@inproceedings{10.1145/3447555.3466602,
author = {Cunningham, Andrew and Hart, Jonathon Derek and Engelke, Ulrich and Adcock, Matt and Thomas, Bruce H.},
title = {Towards Embodied Interaction for Geospatial Energy Sector Analytics in Immersive Environments},
year = {2021},
isbn = {9781450383332},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3447555.3466602},
doi = {10.1145/3447555.3466602},
abstract = {We present a tool for immersive analysis of spatial energy data. The tool is built on ImAxes, which was designed for immersive analytics of abstract data in virtual environments, and extends it with a geospatial layer that allows for iterative and collaborative sensemaking. We developed new interaction techniques that enable the user to freely choose data variables, combine them into charts, and use filters and data lenses to create interactive visualisations grounded in a map. Fusion between various separate data sources can take place directly in the hands of the humans who need to understand and explore it. In this paper, we describe the system development and present a use case scenario with data from Australia's National Energy Analytics Research Program.},
booktitle = {Proceedings of the Twelfth ACM International Conference on Future Energy Systems},
pages = {396–400},
numpages = {5},
keywords = {virtual reality, immersive visualization, Immersive analytics},
location = {Virtual Event, Italy},
series = {e-Energy '21}
}
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