Abstract
The recent availability of affordable and lightweight tracking sensors allows researchers to collect large and complex movement datasets. These datasets require applications that are capable of handling them whilst providing an environment that enables the analyst(s) to focus on the task of analysing the movement in the context of the geographic environment it occurred in. We present a framework for collaborative analysis of geospatial-temporal movement data with a use-case in collective behavior analysis. It supports the concurrent usage of several program instances, allowing to have different perspectives on the same data in collocated or remote setups. The implementation can be deployed in a variety of immersive environments, e.g. on a tiled display wall or mobile VR devices.
Original language | English |
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Title of host publication | Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, VINCI 2019 |
Editors | Changbo Wang, Michael Burch, Michael Krone |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 5 |
Edition | New York NY USA |
ISBN (Electronic) | 9781450376266 |
DOIs | |
Publication status | Published - 2019 |
Externally published | Yes |
Event | International Symposium on Visual Information Communication and Interaction 2019 - Shanghai, China Duration: 20 Sept 2019 → 22 Sept 2019 Conference number: 12th http://vinci-conf.org/2019/ (Website) https://dl.acm.org/doi/proceedings/10.1145/3356422 (Proceedings) |
Conference
Conference | International Symposium on Visual Information Communication and Interaction 2019 |
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Abbreviated title | VINCI 2019 |
Country/Territory | China |
City | Shanghai |
Period | 20/09/19 → 22/09/19 |
Internet address |
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Keywords
- Animal movement
- Immersive analytics
- Immersive environments