PINGU: Principles of Interactive Navigation for Geospatial Understanding
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115194" target="_blank" >RIV/00216224:14330/20:00115194 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PacificVis48177.2020.7567" target="_blank" >http://dx.doi.org/10.1109/PacificVis48177.2020.7567</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PacificVis48177.2020.7567" target="_blank" >10.1109/PacificVis48177.2020.7567</a>
Alternative languages
Result language
angličtina
Original language name
PINGU: Principles of Interactive Navigation for Geospatial Understanding
Original language description
Monitoring conditions in the periglacial areas of Antarctica helps geographers 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2020 IEEE Pacific Visualization Symposium (PacificVis)
ISBN
9781728156972
ISSN
2165-8765
e-ISSN
—
Number of pages
10
Pages from-to
216-225
Publisher name
IEEE PacificVis 2020
Place of publication
Tianjin, China
Event location
Tianjin, China
Event date
Jan 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000578516400027