PINGU Principles of Interactive Navigation for Geospatial Understanding

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: June 2020
• Lecturer: Renata Raidou
• Event: IEEE Pacific Vis 2020
• DOI: 10.1109/PacificVis48177.2020.7567
• Call for Papers: Call for Paper
• Booktitle: 2020 IEEE Pacific Visualization Symposium (PacificVis)
• Pages: 216 – 225

Abstract

Monitoring conditions in the periglacial areas of Antarctica helps geographers and geologists to understand physical processes associated with mesoscale land systems. Analyzing these unique temporal datasets poses a significant challenge for domain experts, due to the complex and often incomplete data, for which corresponding exploratory tools are not available. In this paper, we present a novel visual analysis tool for extraction and interactive exploration of temporal measurements captured at the polar station at the James Ross Island in Antarctica. The tool allows domain experts to quickly extract information about the snow level, originating from a series of photos acquired by trail cameras. Using linked views, the domain experts can interactively explore and combine this information with other spatial and non-spatial measures, such as temperature or wind speed, to reveal the interplay of periglacial and aeolian processes. An abstracted interactive map of the area indicates the position of measurement spots to facilitate navigation. The design of the tool was made in tight collaboration with geographers, which resulted in an early prototype, tested in the pilot study. The following version of the tool and its usability has been evaluated in the user study with five domain experts and their feedback was incorporated into the final version, presented in this paper. This version was again discussed with two experts in an informal interview. Within these evaluations, they confirmed the significant benefit of the tool for their research tasks.

Additional Files and Images

Weblinks

• Entry in reposiTUm (TU Wien Publication Database)
• DOI: 10.1109/PacificVis48177.2020.7567

BibTeX

@inproceedings{raidou_pingu2020,
  title =      "PINGU Principles of Interactive Navigation for Geospatial
               Understanding",
  author =     "Zoltan Oremus and Kahin Akram  Hassan and Jiri Chmelik and
               Michaela Knazkova and Jan Byska and Renata Raidou and
               Barbora Kozlikova",
  year =       "2020",
  abstract =   "Monitoring conditions in the periglacial areas of Antarctica
               helps geographers and geologists to understand physical
               processes associated with mesoscale land systems. Analyzing
               these unique temporal datasets poses a significant challenge
               for domain experts, due to the complex and often incomplete
               data, for which corresponding exploratory tools are not
               available. In this paper, we present a novel visual analysis
               tool for extraction and interactive exploration of temporal
               measurements captured at the polar station at the James Ross
               Island in Antarctica. The tool allows domain experts to
               quickly extract information about the snow level,
               originating from a series of photos acquired by trail
               cameras. Using linked views, the domain experts can
               interactively explore and combine this information with
               other spatial and non-spatial measures, such as temperature
               or wind speed, to reveal the interplay of periglacial and
               aeolian processes. An abstracted interactive map of the area
               indicates the position of measurement spots to facilitate
               navigation. The design of the tool was made in tight
               collaboration with geographers, which resulted in an early
               prototype, tested in the pilot study. The following version
               of the tool and its usability has been evaluated in the user
               study with five domain experts and their feedback was
               incorporated into the final version, presented in this
               paper. This version was again discussed with two experts in
               an informal interview. Within these evaluations, they
               confirmed the significant benefit of the tool for their
               research tasks.",
  month =      jun,
  event =      "IEEE Pacific Vis 2020",
  doi =        "10.1109/PacificVis48177.2020.7567",
  booktitle =  "2020 IEEE Pacific Visualization Symposium (PacificVis)",
  pages =      "216--225",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2020/raidou_pingu2020/",
}